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ORCIDChris Biemann
Christian Biemann
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- affiliation: University of Hamburg, Department of Informatics, Germany
- affiliation: Darmstadt University of Technology, Computer Science Department, Germany
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2020 – today
- 2024
[j27]Saba Anwar
, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann:
Text augmentation for semantic frame induction and parsing. Lang. Resour. Evaluation 58(2): 363-408 (2024)- [c222]Jan Strich, Florian Schneider, Irina Nikishina, Chris Biemann:
On Improving Repository-Level Code QA for Large Language Models. ACL (Student Research Workshop) 2024: 303-338 - [c221]Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Indra Winata, Seid Muhie Yimam, Saif M. Mohammad:
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages. ACL (Findings) 2024: 2512-2530 - [c220]Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann:
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. ACL (Findings) 2024: 15840-15853 - [c219]Ahmad Shallouf, Hanna Herasimchyk, Mikhail Salnikov, Rudy Alexandro Garrido Veliz, Natia Mestvirishvili, Alexander Panchenko, Chris Biemann, Irina Nikishina:
CAM 2.0: End-to-End Open Domain Comparative Question Answering System. LREC/COLING 2024: 2657-2672 - [c218]Fynn Petersen-Frey, Chris Biemann:
Dataset of Quotation Attribution in German News Articles. LREC/COLING 2024: 4412-4422 - [c217]Tim Fischer, Florian Schneider, Fynn Petersen-Frey, Anja Silvia Mollah Haque, Isabel Eiser, Gertraud Koch, Chris Biemann:
Extending the Discourse Analysis Tool Suite with Whiteboards for Visual Qualitative Analysis. LREC/COLING 2024: 7017-7022 - [c216]Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee:
On Zero-Shot Counterspeech Generation by LLMs. LREC/COLING 2024: 12443-12454 - [c215]Hans Ole Hatzel, Chris Biemann:
Tell Me Again! a Large-Scale Dataset of Multiple Summaries for the Same Story. LREC/COLING 2024: 15732-15741 - [c214]Hans Ole Hatzel, Chris Biemann:
Story Embeddings - Narrative-Focused Representations of Fictional Stories. EMNLP 2024: 5931-5943 - [c213]Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina:
Low-Resource Machine Translation through the Lens of Personalized Federated Learning. EMNLP (Findings) 2024: 8806-8825 - [c212]Fynn Petersen-Frey, Chris Biemann:
Fine-grained quotation detection and attribution in German news articles. BBBBBBBBBB 2024: 196-208 - [c211]Tim Fischer, Florian Schneider, Robert Geislinger, Florian Helfer, Gertraud Koch, Chris Biemann:
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis. NAACL (Demonstrations) 2024: 148-157 - [c210]Irina Nikishina, Alexander Bondarenko, Sebastian Zaczek, Onno Lander Haag, Matthias Hagen, Chris Biemann:
Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection. RATIO 2024: 317-334 - [i66]Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Indra Winata, Seid Muhie Yimam, Saif M. Mohammad:
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages. CoRR abs/2402.08638 (2024) - [i65]Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee:
On Zero-Shot Counterspeech Generation by LLMs. CoRR abs/2403.14938 (2024) - [i64]Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann:
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. CoRR abs/2403.18715 (2024) - [i63]Abinew Ali Ayele, Esubalew Alemneh Jalew, Adem Chanie Ali, Seid Muhie Yimam, Chris Biemann:
Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse. CoRR abs/2404.12042 (2024) - [i62]Fynn Petersen-Frey, Chris Biemann:
Dataset of Quotation Attribution in German News Articles. CoRR abs/2404.16764 (2024) - [i61]Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina:
Low-Resource Machine Translation through the Lens of Personalized Federated Learning. CoRR abs/2406.12564 (2024) - [i60]Seid Muhie Yimam, Daryna Dementieva, Tim Fischer, Daniil Moskovskiy, Naquee Rizwan, Punyajoy Saha, Sarthak Roy, Martin Semmann, Alexander Panchenko, Chris Biemann, Animesh Mukherjee:
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management. CoRR abs/2406.19543 (2024) - [i59]Thennal D. K, Tim Fischer, Chris Biemann:
Large Language Models Are Overparameterized Text Encoders. CoRR abs/2410.14578 (2024) - [i58]Xintong Wang, Jingheng Pan, Longqin Jiang, Liang Ding, Xingshan Li, Chris Biemann:
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficient Semantic Steering in Large Language Models. CoRR abs/2410.17714 (2024) - 2023
- [j26]Hans Ole Hatzel, Haimo Stiemer, Chris Biemann, Evelyn Gius:
Machine learning in computational literary studies. it Inf. Technol. 65(4-5): 200-217 (2023) - [c209]Debayan Banerjee, Seid Muhie Yimam, Sushil Awale, Chris Biemann:
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. SDU@AAAI 2023 - [c208]Florian Schneider, Tim Fischer, Fynn Petersen-Frey, Isabel Eiser, Gertraud Koch, Chris Biemann:
The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis. ACL (demo) 2023: 328-335 - [c207]Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck, Chris Biemann:
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. ACL (Findings) 2023: 12219-12228 - [c206]Maria Maslova, Stefan Rebrikov, Anton Artsishevski, Sebastian Zaczek, Chris Biemann, Irina Nikishina:
RuCAM: Comparative Argumentative Machine for the Russian Language. AIST 2023: 78-91 - [c205]Özge Sevgili, Steffen Remus, Abhik Jana, Alexander Panchenko, Chris Biemann:
Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses. AIST 2023: 126-140 - [c204]Debayan Banerjee, Sushil Awale, Ricardo Usbeck, Chris Biemann:
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph. BIR@ECIR 2023: 37-51 - [c203]Hans Ole Hatzel, Evelyn Gius, Haimo Stiemer, Chris Biemann:
Narrativität und Handlung. DHd 2023: 227 - [c202]Isabel Eiser, Tim Fischer, Florian Schneider, Gertraud Koch, Chris Biemann, Fynn Petersen-Frey:
Open Science Prinzipien und interdisziplinäre Kollaboration in D-WISE: Zwischen Hermeneutik und Digitaler Methode in der Diskursanalyse. DHd 2023: 252 - [c201]Tim Fischer, Isabel Eiser, Florian Schneider, Fynn Petersen-Frey, Chris Biemann, Gertraud Koch:
D-WISE - Digitale Wissenssoziologische Diskursanalyse. DHd 2023: 388 - [c200]Florian Schneider, Seid Muhie Yimam, Fynn Petersen-Frey, Gerret von Nordheim, Katharina Kleinen-von Königslöw, Chris Biemann:
CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation. EACL (System Demonstrations) 2023: 11-17 - [c199]Hans Ole Hatzel, Fynn Petersen-Frey, Tim Fischer, Chris Biemann:
Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity. ECAI 2023: 1004-1011 - [c198]Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann:
Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. ECAI 2023: 2552-2559 - [c197]Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck, Chris Biemann:
GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering. ESWC 2023: 279-297 - [c196]Chris Biemann, Tilo Böhmann, Sebastian Gerling, Jan Louis, Martin Semmann:
Das Konzept des House of Computing and Data Science als Blaupause zur Digitalisierung der Forschung. GI-Jahrestagung 2023: 123-128 - [c195]Irina Nikishina, Polina Chernomorchenko, Anastasiia Demidova, Alexander Panchenko, Chris Biemann:
Predicting Terms in IS-A Relations with Pre-trained Transformers. IJCNLP (Findings) 2023: 134-148 - [c194]Fynn Petersen-Frey, Tim Fischer, Florian Schneider, Isabel Eiser, Gertraud Koch, Chris Biemann:
From Qualitative to Quantitative Research: Semi-Automatic Annotation Scaling in the Digital Humanities. KONVENS 2023: 52-62 - [c193]Abinew Ali Ayele, Skadi Dinter, Seid Muhie Yimam, Chris Biemann:
Multilingual Racial Hate Speech Detection Using Transfer Learning. RANLP 2023: 41-48 - [c192]Abinew Ali Ayele, Seid Muhie Yimam, Tadesse Destaw Belay, Tesfa Tegegne Asfaw, Chris Biemann:
Exploring Amharic Hate Speech Data Collection and Classification Approaches. RANLP 2023: 49-59 - [c191]Meriem Beloucif, Mihir Bansal, Chris Biemann:
Using Wikidata for Enhancing Compositionality in Pretrained Language Models. RANLP 2023: 170-178 - [c190]Florian Schneider, Chris Biemann:
LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge Sources. SemEval@ACL 2023: 462-468 - [c189]Debayan Banerjee, Arefa, Ricardo Usbeck, Chris Biemann:
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph. ISWC (Posters/Demos/Industry) 2023 - [d9]Sushil Awale, Debayan Banerjee, Ricardo Usbeck, Christian Biemann:
DBLP-QuAD. Version 1.0. Zenodo, 2023 [all versions]
- [d8]Sushil Awale, Debayan Banerjee, Ricardo Usbeck, Christian Biemann:
DBLP-QuAD DBLP Dump. Zenodo, 2023 - [d7]Sushil Awale, Debayan Banerjee, Ricardo Usbeck, Christian Biemann:
DBLP-QuAD. Version 1.1. Zenodo, 2023 [all versions] - [i57]Debayan Banerjee, Seid Muhie Yimam, Sushil Awale, Chris Biemann:
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System. CoRR abs/2301.10577 (2023) - [i56]Debayan Banerjee, Mathis Poser, Christina Wiethof, Varun Shankar Subramanian, Richard Paucar, Eva A. C. Bittner, Chris Biemann:
A system for Human-AI collaboration for Online Customer Support. CoRR abs/2301.12158 (2023) - [i55]Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck, Chris Biemann:
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering. CoRR abs/2303.13284 (2023) - [i54]Debayan Banerjee, Sushil Awale, Ricardo Usbeck, Chris Biemann:
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph. CoRR abs/2303.13351 (2023) - [i53]Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck, Chris Biemann:
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. CoRR abs/2305.15108 (2023) - [i52]Debayan Banerjee, Arefa, Ricardo Usbeck, Chris Biemann:
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph. CoRR abs/2309.07545 (2023) - [i51]Xintong Wang, Xiaoyu Li, Xingshan Li, Chris Biemann:
Probing Language Models from A Human Behavioral Perspective. CoRR abs/2310.05216 (2023) - 2022
- [j25]Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural entity linking: A survey of models based on deep learning. Semantic Web 13(3): 527-570 (2022) - [j24]Abhik Jana, Gopalakrishnan Venkatesh, Seid Muhie Yimam, Chris Biemann:
Hypernymy Detection for Low-resource Languages: A Study for Hindi, Bengali, and Amharic. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 67:1-67:21 (2022) - [c188]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval. CLEF 2022: 311-336 - [c187]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval. CLEF (Working Notes) 2022: 2867-2903 - [c186]Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2022: Argument Retrieval - Extended Abstract. ECIR (2) 2022: 339-346 - [c185]Angelie Kraft, Hans-Peter Zorn, Pascal Fecht, Judith Simon, Chris Biemann, Ricardo Usbeck:
Measuring Gender Bias in German Language Generation. GI-Jahrestagung 2022: 1257-1274 - [c184]Gertraud Koch, Chris Biemann, Isabel Eiser, Tim Fischer, Florian Schneider, Teresa Stumpf, Alejandra Tijerina García:
D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse. HCI (23) 2022: 68-83 - [c183]Abinew Ali Ayele, Skadi Dinter, Tadesse Destaw Belay, Tesfa Tegegne Asfaw, Seid Muhie Yimam, Chris Biemann:
The 5Js in Ethiopia: Amharic Hate Speech Data Annotation Using Toloka Crowdsourcing Platform. ICT4DA 2022: 114-120 - [c182]Anton Wiehe, Florian Schneider, Sebastian Blank, Xintong Wang, Hans-Peter Zorn, Christian Biemann:
Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays. AACL/IJCNLP 2022 (Student Research Workshop) 2022: 76-83 - [c181]Özge Alaçam, Eugen Ruppert, Sina Zarrieß, Ganeshan Malhotra, Chris Biemann:
Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. AACL/IJCNLP (Findings) 2022: 197-210 - [c180]Tim Fischer, Steffen Remus, Chris Biemann:
Measuring Faithfulness of Abstractive Summaries. KONVENS 2022: 63-73 - [c179]Robert Geislinger, Benjamin Milde, Chris Biemann:
Improved Open Source Automatic Subtitling for Lecture Videos. KONVENS 2022: 98-103 - [c178]Steffen Remus, Gregor Wiedemann, Saba Anwar, Fynn Petersen-Frey, Seid Muhie Yimam, Chris Biemann:
More Like This: Semantic Retrieval with Linguistic Information. KONVENS 2022: 156-166 - [c177]Fynn Petersen-Frey, Marcus Soll, Louis Kobras, Melf Johannsen, Peter Kling, Chris Biemann:
Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments. LREC 2022: 956-962 - [c176]Xintong Wang, Florian Schneider, Özge Alaçam, Prateek Chaudhury, Chris Biemann:
MOTIF: Contextualized Images for Complex Words to Improve Human Reading. LREC 2022: 2468-2477 - [c175]Meriem Beloucif, Seid Muhie Yimam, Steffen Stahlhacke, Chris Biemann:
Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Questions. LREC 2022: 3771-3779 - [c174]Bahar Ilgen, Chris Biemann:
CWITR: A Corpus for Automatic Complex Word Identification in Turkish Texts. NLPIR 2022: 157-163 - [c173]Gopalakrishnan Venkatesh, Abhik Jana, Steffen Remus, Özge Sevgili, Gopalakrishnan Srinivasaraghavan, Chris Biemann:
Using distributional thesaurus to enhance transformer-based contextualized representations for low resource languages. SAC 2022: 845-852 - [c172]Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann:
Modern Baselines for SPARQL Semantic Parsing. SIGIR 2022: 2260-2265 - [c171]Florian Schneider, Chris Biemann:
Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus. SIGIR 2022: 3245-3250 - [i50]Markus J. Hofmann, Steffen Remus, Chris Biemann, Ralph Radach, Lars Kuchinke:
Language Models Explain Word Reading Times Better Than Empirical Predictability. CoRR abs/2202.01128 (2022) - [i49]Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich, Chris Biemann:
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change. CoRR abs/2203.09892 (2022) - [i48]Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann:
Modern Baselines for SPARQL Semantic Parsing. CoRR abs/2204.12793 (2022) - 2021
- [j23]Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Ibrahim Gashaw, Chris Biemann:
Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets. Future Internet 13(11): 275 (2021) - [j22]Markus J. Hofmann, Steffen Remus, Chris Biemann, Ralph Radach, Lars Kuchinke:
Language Models Explain Word Reading Times Better Than Empirical Predictability. Frontiers Artif. Intell. 4: 730570 (2021) - [c170]Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. AAAI 2021: 14867-14875 - [c169]Michael Vauth, Hans Ole Hatzel, Evelyn Gius, Chris Biemann:
Automated Event Annotation in Literary Texts. CHR 2021: 333-345 - [c168]Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2021: Argument Retrieval. CLEF 2021: 450-467 - [c167]Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2021: Argument Retrieval. CLEF (Working Notes) 2021: 2258-2284 - [c166]Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej:
Forum 4.0: An Open-Source User Comment Analysis Framework. EACL (System Demonstrations) 2021: 63-70 - [c165]Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich, Chris Biemann:
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change. EACL (System Demonstrations) 2021: 198-204 - [c164]Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko:
Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. EACL (System Demonstrations) 2021: 302-311 - [c163]Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2021: Argument Retrieval - Extended Abstract. ECIR (2) 2021: 574-582 - [c162]Meriem Beloucif, Chris Biemann:
Probing Pre-trained Language Models for Semantic Attributes and their Values. EMNLP (Findings) 2021: 2554-2559 - [c161]Özge Alaçam, Ganeshan Malhotra, Eugen Ruppert, Chris Biemann:
Gaze-based Multimodal Meaning Recovery for Noisy / Complex Environments. ICMI 2021: 673-681 - [c160]Tadesse Destaw Belay, Abinew Ali Ayele, Getie Gelaye, Seid Muhie Yimam, Chris Biemann:
Impacts of Homophone Normalization on Semantic Models for Amharic. ICT4DA 2021: 101-106 - [c159]Benjamin Milde, Tim Fischer, Steffen Remus, Chris Biemann:
MoM: Minutes of Meeting Bot. Interspeech 2021: 3311-3312 - [c158]Robert Geislinger, Benjamin Milde, Timo Baumann, Chris Biemann:
Live Subtitling for BigBlueButton with Open-Source Software. Interspeech 2021: 3319-3320 - [c157]Hans Ole Hatzel, Chris Biemann:
LTUHH@STSS: Applying Coreference to Literary Scene Segmentation. STSS@KONVENS 2021: 29-34 - [c156]Hans Ole Hatzel, Chris Biemann:
Towards Layered Events and Schema Representations in Long Documents. NAACL-HLT (Student Research Workshop) 2021: 32-39 - [c155]Max Wiechmann, Seid Muhie Yimam, Chris Biemann:
ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration. NAACL-HLT (Demonstrations) 2021: 99-105 - [c154]Sian Gooding, Ekaterina Kochmar, Seid Muhie Yimam, Chris Biemann:
Word Complexity is in the Eye of the Beholder. NAACL-HLT 2021: 4439-4449 - [c153]Timo Johner, Abhik Jana, Chris Biemann:
Error Analysis of using BART for Multi-Document Summarization: A Study for English and German Language. NoDaLiDa 2021: 391-397 - [d6]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché22-Argument-Retrieval-for-Comparative-Questions. Version 1. Zenodo, 2021 [all versions] - [d5]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché22-Argument-Retrieval-for-Comparative-Questions. Version 2. Zenodo, 2021 [all versions] - [i47]Niklas von Boguszewski, Sana Moin, Anirban Bhowmick, Seid Muhie Yimam, Chris Biemann:
How Hateful are Movies? A Study and Prediction on Movie Subtitles. CoRR abs/2108.10724 (2021) - 2020
- [j21]Alexander Bondarenko, Alexander Panchenko, Meriem Beloucif, Chris Biemann, Matthias Hagen:
Answering Comparative Questions with Arguments. Datenbank-Spektrum 20(2): 155-160 (2020) - [c152]Fynn Schröder, Chris Biemann:
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks. ACL 2020: 2971-2985 - [c151]Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2020: Argument Retrieval - Extended Abstract. CLEF 2020: 384-395 - [c150]Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen:
Overview of Touché 2020: Argument Retrieval. CLEF (Working Notes) 2020 - [c149]Seid Muhie Yimam, Hizkiel Mitiku Alemayehu, Abinew Ali Ayele, Chris Biemann:
Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification Models. COLING 2020: 1048-1060 - [c148]Alexander Bondarenko, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, Benno Stein:
Touché: First Shared Task on Argument Retrieval. ECIR (2) 2020: 517-523 - [c147]Marcus Soll, Louis Kobras, Melf Johannsen, Chris Biemann:
Enhancing a Theory-Focused Course Through the Introduction of Automatically Assessed Programming Exercises - Lessons Learned. EC-TEL (Impact Papers) 2020 - [c146]Benjamin Milde, Chris Biemann:
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization. INTERSPEECH 2020: 2747-2751 - [c145]Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Lee, Chris Biemann:
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System. LREC 2020: 5896-5904 - [c144]Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. LREC 2020: 5943-5952 - [c143]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. SemEval@COLING 2020: 1638-1644 - [c142]Jingyuan Feng, Özge Sevgili, Steffen Remus, Eugen Ruppert, Chris Biemann:
Supervised Pun Detection and Location with Feature Engineering and Logistic Regression. SwissText/KONVENS 2020 - [c141]Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen:
Comparative Web Search Questions. WSDM 2020: 52-60 - [d4]Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen:
Webis-CompQuestions-20. Zenodo, 2020 - [d3]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché20-Argument-Retrieval-for-Comparative-Questions. Version 1. Zenodo, 2020 [all versions] - [d2]Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Meriem Beloucif, Chris Biemann, Alexander Panchenko:
Touché20-Argument-Retrieval-for-Comparative-Questions. Version 2. Zenodo, 2020 [all versions] - [i46]Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Sie Yuen Lee, Chris Biemann:
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System. CoRR abs/2003.02955 (2020) - [i45]Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. CoRR abs/2003.06651 (2020) - [i44]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. CoRR abs/2004.11493 (2020) - [i43]Benjamin Milde, Chris Biemann:
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization. CoRR abs/2005.14578 (2020) - [i42]Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural Entity Linking: A Survey of Models based on Deep Learning. CoRR abs/2006.00575 (2020) - [i41]Markus J. Hofmann, Lara Müller, André Rölke, Ralph Radach, Chris Biemann:
Individual corpora predict fast memory retrieval during reading. CoRR abs/2010.10176 (2020) - [i40]Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Chris Biemann:
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets. CoRR abs/2011.01154 (2020) - [i39]Dirk Johannßen, Chris Biemann:
Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises. CoRR abs/2012.04586 (2020) - [i38]Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. CoRR abs/2012.10289 (2020)
2010 – 2019
- 2019
- [j20]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Watset. Comput. Linguistics 45(3): 423-479 (2019) - [j19]Fabian Barteld, Chris Biemann, Heike Zinsmeister:
Token-based spelling variant detection in Middle Low German texts. Lang. Resour. Evaluation 53(4): 677-706 (2019) - [c140]Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko:
TARGER: Neural Argument Mining at Your Fingertips. ACL (3) 2019: 195-200 - [c139]Özge Sevgili, Alexander Panchenko, Chris Biemann:
Improving Neural Entity Disambiguation with Graph Embeddings. ACL (2) 2019: 315-322 - [c138]Rami Aly, Steffen Remus, Chris Biemann:
Hierarchical Multi-label Classification of Text with Capsule Networks. ACL (2) 2019: 323-330 - [c137]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. ACL (1) 2019: 3263-3274 - [c136]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. ACL (1) 2019: 3349-3355 - [c135]Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko:
Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings. ACL (1) 2019: 4811-4817 - [c134]Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. ACL (1) 2019: 5829-5839 - [c133]Alexander Panchenko, Alexander Bondarenko, Mirco Franzek, Matthias Hagen, Chris Biemann:
Categorizing Comparative Sentences. ArgMining@ACL 2019: 136-145 - [c132]Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko:
Answering Comparative Questions: Better than Ten-Blue-Links? CHIIR 2019: 361-365 - [c131]Hanna Hedeland, Steffen Remus, Anne Ferger, Kristin Bührig, Chris Biemann:
Annotation gesprochener Daten mit WebAnno-MM. DHd 2019 - [c130]Benjamin Milde, Chris Biemann:
SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders. INTERSPEECH 2019: 256-260 - [c129]Md. Shad Akhtar, Abhishek Kumar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya:
Language-Agnostic Model for Aspect-Based Sentiment Analysis. IWCS (1) 2019: 154-164 - [c128]Dirk Johannßen, Chris Biemann:
Neural classification with attention assessment of the implicit-association test OMT and prediction of subsequent academic success. KONVENS 2019 - [c127]Fabian Karl, Mikko Lauri, Chris Biemann:
Creating Information-maximizing Natural Language Messages Through Image Captioning-Retrieval. KONVENS 2019 - [c126]Steffen Remus, Rami Aly, Chris Biemann:
GermEval 2019 Task 1: Hierarchical Classification of Blurbs. KONVENS 2019 - [c125]Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. KONVENS 2019 - [c124]Tim Fischer, Steffen Remus, Chris Biemann:
LT Expertfinder: An Evaluation Framework for Expert Finding Methods. NAACL-HLT (Demonstrations) 2019: 98-104 - [c123]Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko:
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. SemEval@NAACL-HLT 2019: 125-129 - [c122]Gregor Wiedemann, Eugen Ruppert, Chris Biemann:
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection. SemEval@NAACL-HLT 2019: 782-787 - [c121]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Learning Graph Embeddings from WordNet-based Similarity Measures. *SEM@NAACL-HLT 2019: 125-135 - [d1]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction. Zenodo, 2019 - [i37]Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko:
Answering Comparative Questions: Better than Ten-Blue-Links? CoRR abs/1901.05041 (2019) - [i36]Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko:
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. CoRR abs/1905.01739 (2019) - [i35]Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko:
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings. CoRR abs/1906.02002 (2019) - [i34]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. CoRR abs/1906.03007 (2019) - [i33]Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. CoRR abs/1906.05000 (2019) - [i32]Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Making Fast Graph-based Algorithms with Graph Metric Embeddings. CoRR abs/1906.07040 (2019) - [i31]Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. CoRR abs/1909.10430 (2019) - [i30]Seid Muhie Yimam, Abinew Ali Ayele, Chris Biemann:
Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic. CoRR abs/1912.04419 (2019) - 2018
- [j18]Markus J. Hofmann, Chris Biemann, Chris Westbury, Mariam Murusidze, Markus Conrad, Arthur M. Jacobs:
Simple Co-Occurrence Statistics Reproducibly Predict Association Ratings. Cogn. Sci. 42(7): 2287-2312 (2018) - [j17]Martin Riedl, Chris Biemann:
Using Semantics for Granularities of Tokenization. Comput. Linguistics 44(3) (2018) - [j16]Flavio Massimiliano Cecchini, Martin Riedl, Elisabetta Fersini, Chris Biemann:
A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework. Lang. Resour. Evaluation 52(3): 733-770 (2018) - [j15]Chris Biemann, Stefano Faralli, Alexander Panchenko, Simone Paolo Ponzetto:
A framework for enriching lexical semantic resources with distributional semantics. Nat. Lang. Eng. 24(2): 265-312 (2018) - [c120]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. ACL (2) 2018: 55-62 - [c119]Seid Muhie Yimam, Chris Biemann, Shervin Malmasi, Gustavo Paetzold, Lucia Specia, Sanja Stajner, Anaïs Tack, Marcos Zampieri:
A Report on the Complex Word Identification Shared Task 2018. BEA@NAACL-HLT 2018: 66-78 - [c118]Dirk Johannßen, Chris Biemann:
Between the Lines: Machine Learning for Prediction of Psychological Traits - A Survey. CD-MAKE 2018: 192-211 - [c117]Eugen Ruppert, Dirk Hartung, Phillip Sittig, Tjorben Gschwander, Lennart Rönneburg, Tobias Killing, Chris Biemann:
LawStats - Large-Scale German Court Decision Evaluation Using Web Service Classifiers. CD-MAKE 2018: 212-222 - [c116]Steffen Remus, Hanna Hedeland, Anne Ferger, Kristin Bührig, Chris Biemann:
WebAnno-MM: EXMARaLDA meets WebAnno. CLARIN Annual Conference 2018: 166-172 - [c115]Seid Muhie Yimam, Chris Biemann:
Par4Sim - Adaptive Paraphrasing for Text Simplification. COLING 2018: 331-342 - [c114]Seid Muhie Yimam, Chris Biemann:
Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing. EMNLP (Demonstration) 2018: 48-53 - [c113]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
A Multilingual Information Extraction Pipeline for Investigative Journalism. EMNLP (Demonstration) 2018: 78-83 - [c112]Benjamin Milde, Chris Biemann:
Unspeech: Unsupervised Speech Context Embeddings. INTERSPEECH 2018: 2693-2697 - [c111]Gregor Wiedemann, Raghav Jindal, Chris Biemann:
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. KONVENS 2018: 165-171 - [c110]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Sense-Aware Hypernymy Extraction. KONVENS 2018: 192-201 - [c109]Fabian Barteld, Chris Biemann, Heike Zinsmeister:
Variations on the theme of variation: Dealing with spelling variation for finegrained POS tagging of historical texts. KONVENS 2018: 202-212 - [c108]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Enriching Frame Representations with Distributionally Induced Senses. LREC 2018 - [c107]Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl. LREC 2018 - [c106]Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Improving Hypernymy Extraction with Distributional Semantic Classes. LREC 2018 - [c105]Steffen Remus, Chris Biemann:
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities. LREC 2018 - [c104]Dmitry Ustalov, Denis Teslenko, Alexander Panchenko, Mikhail Chernoskutov, Chris Biemann, Simone Paolo Ponzetto:
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. LREC 2018 - [c103]Ahmed Elsafty, Martin Riedl, Chris Biemann:
Document-based Recommender System for Job Postings using Dense Representations. NAACL-HLT (3) 2018: 216-224 - [c102]Enrico Santus, Chris Biemann, Emmanuele Chersoni:
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes. SemEval@NAACL-HLT 2018: 990-994 - [c101]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. SocInfo (2) 2018: 313-322 - [c100]Alexander Bondarenko, Matthias Hagen, Michael Völske, Benno Stein, Alexander Panchenko, Chris Biemann:
Webis at TREC 2018: Common Core Track. TREC 2018 - [i29]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Enriching Frame Representations with Distributionally Induced Senses. CoRR abs/1803.05829 (2018) - [i28]Benjamin Milde, Chris Biemann:
Unspeech: Unsupervised Speech Context Embeddings. CoRR abs/1804.06775 (2018) - [i27]Seid Muhie Yimam, Chris Biemann, Shervin Malmasi, Gustavo H. Paetzold, Lucia Specia, Sanja Stajner, Anaïs Tack, Marcos Zampieri:
A Report on the Complex Word Identification Shared Task 2018. CoRR abs/1804.09132 (2018) - [i26]Dmitry Ustalov, Denis Teslenko, Alexander Panchenko, Mikhail Chernoskutov, Chris Biemann, Simone Paolo Ponzetto:
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages. CoRR abs/1804.10686 (2018) - [i25]Enrico Santus, Chris Biemann, Emmanuele Chersoni:
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes. CoRR abs/1804.11251 (2018) - [i24]Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Semantic Frame Induction using Triclustering. CoRR abs/1805.04715 (2018) - [i23]Seid Muhie Yimam, Chris Biemann:
Par4Sim - Adaptive Paraphrasing for Text Simplification. CoRR abs/1806.08309 (2018) - [i22]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. CoRR abs/1807.05151 (2018) - [i21]Andrey Kutuzov, Alexander Panchenko, Sarah Kohail, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann:
Learning Graph Embeddings from WordNet-based Similarity Measures. CoRR abs/1808.05611 (2018) - [i20]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Local-Global Graph Clustering with Applications in Sense and Frame Induction. CoRR abs/1808.06696 (2018) - [i19]Seid Muhie Yimam, Chris Biemann:
Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing. CoRR abs/1808.06853 (2018) - [i18]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
A Multilingual Information Extraction Pipeline for Investigative Journalism. CoRR abs/1809.00221 (2018) - [i17]Mirco Franzek, Alexander Panchenko, Chris Biemann:
Categorization of Comparative Sentences for Argument Mining. CoRR abs/1809.06152 (2018) - [i16]Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Unsupervised Sense-Aware Hypernymy Extraction. CoRR abs/1809.06223 (2018) - [i15]Gregor Wiedemann, Raghav Jindal, Chris Biemann:
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. CoRR abs/1811.02902 (2018) - [i14]Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann:
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter. CoRR abs/1811.02906 (2018) - 2017
- [c99]Dmitry Ustalov, Alexander Panchenko, Chris Biemann:
Automatic Induction of Synsets from a Graph of Synonyms. ACL (1) 2017: 1579-1590 - [c98]Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko:
Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction. AIST 2017: 94-105 - [c97]Sarah Kohail, Chris Biemann:
Matching, Re-Ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features. CICLing (1) 2017: 377-390 - [c96]Steffen Remus, Manuel Kaufmann, Kathrin Ballweg, Tatiana von Landesberger, Chris Biemann:
Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web. CIKM 2017: 2519-2522 - [c95]Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. EACL (1) 2017: 86-98 - [c94]Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. EACL (2) 2017: 543-550 - [c93]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. EACL (1) 2017: 590-600 - [c92]Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann:
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. EMNLP (System Demonstrations) 2017: 91-96 - [c91]Seid Muhie Yimam, Sanja Stajner, Martin Riedl, Chris Biemann:
CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups. IJCNLP(2) 2017: 401-407 - [c90]Martin Riedl, Chris Biemann:
There's no 'Count or Predict' but task-based \\selection for distributional models. IWCS(2) 2017 - [c89]Md. Shad Akhtar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann:
Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis. NLDB 2017: 15-27 - [c88]Prasanth Kolachina, Martin Riedl, Chris Biemann:
Replacing OOV Words For Dependency Parsing With Distributional Semantics. NODALIDA 2017: 11-19 - [c87]Flavio Massimiliano Cecchini, Chris Biemann, Martin Riedl:
Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction. NODALIDA 2017: 105-114 - [c86]Seid Muhie Yimam, Steffen Remus, Alexander Panchenko, Andreas Holzinger, Chris Biemann:
Entity-Centric Information Access with Human in the Loop for the Biomedical Domain. BiomedicalNLP@RANLP 2017: 42-48 - [c85]Seid Muhie Yimam, Sanja Stajner, Martin Riedl, Chris Biemann:
Multilingual and Cross-Lingual Complex Word Identification. RANLP 2017: 813-822 - [c84]Titas Nandi, Chris Biemann, Seid Muhie Yimam, Deepak Gupta, Sarah Kohail, Asif Ekbal, Pushpak Bhattacharyya:
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification. SemEval@ACL 2017: 90-97 - [c83]Sarah Kohail, Amr Rekaby Salama, Chris Biemann:
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble. SemEval@ACL 2017: 175-179 - [c82]Abhishek Kumar, Abhishek Sethi, Md. Shad Akhtar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya:
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text. SemEval@ACL 2017: 894-898 - [c81]Martin Müller, Kathrin Ballweg, Tatiana von Landesberger, Seid Muhie Yimam, Uli Fahrer, Chris Biemann, Marcel Rosenbach, Michaela Regneri, Heiner Ulrich:
Guidance for Multi-Type Entity Graphs from Text Collections. EuroVA@EuroVis 2017: 1-5 - [i13]Dmitry Ustalov, Alexander Panchenko, Chris Biemann:
Watset: Automatic Induction of Synsets from a Graph of Synonyms. CoRR abs/1704.07157 (2017) - [i12]Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. CoRR abs/1707.03903 (2017) - [i11]Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann:
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. CoRR abs/1707.06878 (2017) - [i10]Maria Pelevina, Nikolay Arefyev, Chris Biemann, Alexander Panchenko:
Making Sense of Word Embeddings. CoRR abs/1708.03390 (2017) - [i9]Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko:
Fighting with the Sparsity of Synonymy Dictionaries. CoRR abs/1708.09234 (2017) - [i8]Alexander Panchenko, Dmitry Ustalov, Nikolay Arefyev, Denis Paperno, Natalia Konstantinova, Natalia V. Loukachevitch, Chris Biemann:
Human and Machine Judgements for Russian Semantic Relatedness. CoRR abs/1708.09702 (2017) - [i7]Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl. CoRR abs/1710.01779 (2017) - [i6]Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Improving Hypernymy Extraction with Distributional Semantic Classes. CoRR abs/1711.02918 (2017) - [i5]Chris Biemann, Stefano Faralli, Alexander Panchenko, Simone Paolo Ponzetto:
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics. CoRR abs/1712.08819 (2017) - [i4]Andreas Holzinger, Chris Biemann, Constantinos S. Pattichis, Douglas B. Kell:
What do we need to build explainable AI systems for the medical domain? CoRR abs/1712.09923 (2017) - 2016
- [j14]Seid Muhie Yimam, Chris Biemann, Ljiljana Majnaric, Sefket Sabanovic, Andreas Holzinger:
An adaptive annotation approach for biomedical entity and relation recognition. Brain Informatics 3(3): 157-168 (2016) - [j13]Chris Biemann, André Freitas, Siegfried Handschuh, Elisabeth Métais, Farid Meziane:
Preface. Data Knowl. Eng. 106: 36-37 (2016) - [c80]Gerold Hintz, Chris Biemann:
Language Transfer Learning for Supervised Lexical Substitution. ACL (1) 2016 - [c79]Seid Muhie Yimam, Heiner Ulrich, Tatiana von Landesberger, Marcel Rosenbach, Michaela Regneri, Alexander Panchenko, Franziska Lehmann, Uli Fahrer, Chris Biemann, Kathrin Ballweg:
new/s/leak - Information Extraction and Visualization for Investigative Data Journalists. ACL (System Demonstrations) 2016: 163-168 - [c78]Steffen Remus, Gerold Hintz, Chris Biemann, Christian M. Meyer, Darina Benikova, Judith Eckle-Kohler, Margot Mieskes, Thomas Arnold:
EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres. WAC@ACL 2016: 106-114 - [c77]Alexander Panchenko, Dmitry Ustalov, Nikolay Arefyev, Denis Paperno, Natalia Konstantinova, Natalia V. Loukachevitch, Chris Biemann:
Human and Machine Judgements for Russian Semantic Relatedness. AIST 2016: 221-235 - [c76]Chris Biemann:
Vectors or Graphs? On Differences of Representations for Distributional Semantic Models. CogALex@COLING 2016: 1-7 - [c75]Michael Zock, Chris Biemann:
Towards a resource based on users' knowledge to overcome the Tip of the Tongue problem. CogALex@COLING 2016: 57-68 - [c74]Benjamin Milde, Jonas Wacker, Stefan Radomski, Max Mühlhäuser, Chris Biemann:
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams. COLING (Demos) 2016: 233-237 - [c73]Benjamin Milde, Jonas Wacker, Stefan Radomski, Max Mühlhäuser, Chris Biemann:
Ambient Search: A Document Retrieval System for Speech Streams. COLING 2016: 2082-2091 - [c72]Martin Riedl, Tim Feuerbach, Chris Biemann:
Running into Brick Walls Attempting to Improve a Simple Unsupervised Parser. KONVENS 2016 - [c71]Alexander Panchenko, Johannes Simon, Martin Riedl, Chris Biemann:
Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics. KONVENS 2016 - [c70]Darina Benikova, Chris Biemann:
SemRelData ― Multilingual Contextual Annotation of Semantic Relations between Nominals: Dataset and Guidelines. LREC 2016 - [c69]Steffen Remus, Chris Biemann:
Domain-Specific Corpus Expansion with Focused Webcrawling. LREC 2016 - [c68]Richard Eckart de Castilho, Éva Mújdricza-Maydt, Seid Muhie Yimam, Silvana Hartmann, Iryna Gurevych, Anette Frank, Chris Biemann:
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures. LT4DH@COLING 2016: 76-84 - [c67]Martin Riedl, Chris Biemann:
Impact of MWE Resources on Multiword Recognition. MWE@ACL 2016 - [c66]Seid Muhie Yimam, Héctor Martínez Alonso, Martin Riedl, Chris Biemann:
Learning Paraphrasing for Multiword Expressions. MWE@ACL 2016 - [c65]Martin Riedl, Chris Biemann:
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods. HLT-NAACL 2016: 617-622 - [c64]Maria Pelevina, Nikolay Arefiev, Chris Biemann, Alexander Panchenko:
Making Sense of Word Embeddings. Rep4NLP@ACL 2016: 174-183 - [c63]Ayush Kumar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann:
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis. SemEval@NAACL-HLT 2016: 1129-1135 - [c62]Alexander Panchenko, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, Cédrick Fairon, Simone Paolo Ponzetto, Chris Biemann:
TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling. SemEval@NAACL-HLT 2016: 1320-1327 - [c61]Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Linked Disambiguated Distributional Semantic Networks. ISWC (2) 2016: 56-64 - 2015
- [j12]Chris Biemann:
Ontology-Based Interpretation of Natural Language Philipp Cimiano, Christina Unger, and John McCrae (University of Arminia Bielefeld, Germany) Morgan & Claypool, Synthesis Lectures on Human Language Technologies, March 2014, 178 pages, (doi: 10.2200/S00561ED1V01Y201401HLT024) , $45.00. Comput. Linguistics 41(2): 347-350 (2015) - [j11]Sunny Mitra, Ritwik Mitra, Suman Kalyan Maity, Martin Riedl, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
An automatic approach to identify word sense changes in text media across timescales. Nat. Lang. Eng. 21(5): 773-798 (2015) - [c60]Eugen Ruppert, Manuel Kaufmann, Martin Riedl, Chris Biemann:
JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models. ACL (System Demonstrations) 2015: 103-108 - [c59]Seid Muhie Yimam, Chris Biemann, Ljiljana Majnaric, Sefket Sabanovic, Andreas Holzinger:
Interactive and Iterative Annotation for Biomedical Entity Recognition. BIH 2015: 347-357 - [c58]Martin Riedl, Chris Biemann:
A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics. EMNLP 2015: 2430-2440 - [c57]Chris Biemann:
Adaptive Natural Language Processing. GSCL 2015: 1 - [c56]Darina Benikova, Seid Muhie Yimam, Prabhakaran Santhanam, Chris Biemann:
GermaNER: Free Open German Named Entity Recognition Tool. GSCL 2015: 31-38 - [c55]Eugen Ruppert, Jonas Klesy, Martin Riedl, Chris Biemann:
Rule-based Dependency Parse Collapsing and Propagation for German and English. GSCL 2015: 58-66 - [c54]Benjamin Milde, Chris Biemann:
Using representation learning and out-of-domain data for a paralinguistic speech task. INTERSPEECH 2015: 904-908 - [c53]Ayush Kumar, Sarah Kohail, Asif Ekbal, Chris Biemann:
IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition. MIKE 2015: 684-693 - [c52]Omer Levy, Steffen Remus, Chris Biemann, Ido Dagan:
Do Supervised Distributional Methods Really Learn Lexical Inference Relations? HLT-NAACL 2015: 970-976 - [c51]Tim Feuerbach, Martin Riedl, Chris Biemann:
Distributional Semantics for Resolving Bridging Mentions. RANLP 2015: 192-199 - [c50]Stephan Radeck-Arneth, Benjamin Milde, Arvid Lange, Evandro Gouvêa, Stefan Radomski, Max Mühlhäuser, Chris Biemann:
Open Source German Distant Speech Recognition: Corpus and Acoustic Model. TSD 2015: 480-488 - [e5]Chris Biemann, Siegfried Handschuh, André Freitas, Farid Meziane, Elisabeth Métais:
Natural Language Processing and Information Systems - 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015 Passau, Germany, June 17-19, 2015 Proceedings. Lecture Notes in Computer Science 9103, Springer 2015, ISBN 978-3-319-19580-3 [contents] - 2014
- [j10]Artjom Kochtchi, Tatiana von Landesberger, Chris Biemann:
Networks of Names: Visual Exploration and Semi-Automatic Tagging of Social Networks from Newspaper Articles. Comput. Graph. Forum 33(3): 211-220 (2014) - [c49]Dirk Schnelle-Walka, Stephan Radeck-Arneth, Chris Biemann, Stefan Radomski:
An Open Source Corpus and Recording Software for Distant Speech Recognition with the Microsoft Kinect. ITG Symposium on Speech Communication 2014: 1-4 - [c48]Seid Muhie Yimam, Chris Biemann, Richard Eckart de Castilho, Iryna Gurevych:
Automatic Annotation Suggestions and Custom Annotation Layers in WebAnno. ACL (System Demonstrations) 2014: 91-96 - [c47]Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. ACL (1) 2014: 1020-1029 - [c46]Martin Riedl, Irina Alles, Chris Biemann:
Combining Supervised and Unsupervised Parsing for Distributional Similarity. COLING 2014: 1435-1446 - [c45]Govind, Asif Ekbal, Chris Biemann:
Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification. ICON 2014: 107-112 - [c44]Jinseok Nam, Christian Kirschner, Zheng Ma, Nicolai Erbs, Susanne Neumann, Daniela Oelke, Steffen Remus, Chris Biemann, Judith Eckle-Kohler, Johannes Fürnkranz, Iryna Gurevych, Marc Rittberger, Karsten Weihe:
Knowledge Discovery in Scientific Literature. KONVENS 2014: 66-76 - [c43]Martin Riedl, Richard Steuer, Chris Biemann:
Distributed Distributional Similarities of Google Books over the Centuries. LREC 2014: 1401-1405 - [c42]Kostadin Cholakov, Chris Biemann, Judith Eckle-Kohler, Iryna Gurevych:
Lexical Substitution Dataset for German. LREC 2014: 1406-1411 - [c41]Darina Benikova, Chris Biemann, Marc Reznicek:
NoSta-D Named Entity Annotation for German: Guidelines and Dataset. LREC 2014: 2524-2531 - [c40]Stephan Radeck-Arneth, Chris Biemann, Dirk Schnelle-Walka:
Towards Ambient Search. LWA 2014: 257-259 - [e4]Chris Biemann, Alexander Mehler:
Text Mining - From Ontology Learning to Automated Text Processing Applications. Theory and Applications of Natural Language Processing, Springer 2014, ISBN 978-3-319-12654-8 [contents] - [i3]Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. CoRR abs/1405.4392 (2014) - [i2]Chris Biemann, Gregory R. Crane, Christiane D. Fellbaum, Alexander Mehler:
Computational Humanities - bridging the gap between Computer Science and Digital Humanities (Dagstuhl Seminar 14301). Dagstuhl Reports 4(7): 80-111 (2014) - 2013
- [j9]Chris Biemann, Martin Riedl:
Text: now in 2D! A framework for lexical expansion with contextual similarity. J. Lang. Model. 1(1): 55-95 (2013) - [j8]Chris Biemann, Felix Bildhauer, Stefan Evert, Dirk Goldhahn, Uwe Quasthoff, Roland Schäfer, Johannes Simon, Leonard Swiezinski, Torsten Zesch:
Scalable Construction of High-Quality Web Corpora. J. Lang. Technol. Comput. Linguistics 28(2): 23-59 (2013) - [j7]Chris Biemann:
Creating a system for lexical substitutions from scratch using crowdsourcing. Lang. Resour. Evaluation 47(1): 97-122 (2013) - [c39]Seid Muhie Yimam, Iryna Gurevych, Richard Eckart de Castilho, Chris Biemann:
WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations. ACL (Conference System Demonstrations) 2013: 1-6 - [c38]Janneke Rauscher, Leonard Swiezinski, Martin Riedl, Chris Biemann:
Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis. CLfL@NAACL-HLT 2013: 61-71 - [c37]Martin Riedl, Chris Biemann:
Scaling to Large3 Data: An Efficient and Effective Method to Compute Distributional Thesauri. EMNLP 2013: 884-890 - [c36]Steffen Remus, Chris Biemann:
Three Knowledge-Free Methods for Automatic Lexical Chain Extraction. HLT-NAACL 2013: 989-999 - [c35]György Szarvas, Chris Biemann, Iryna Gurevych:
Supervised All-Words Lexical Substitution using Delexicalized Features. HLT-NAACL 2013: 1131-1141 - [c34]Ioannis Korkontzelos, Torsten Zesch, Fabio Massimo Zanzotto, Chris Biemann:
SemEval-2013 Task 5: Evaluating Phrasal Semantics. SemEval@NAACL-HLT 2013: 39-47 - [c33]Chris Biemann, Bonaventura Coppola, Michael R. Glass, Alfio Gliozzo, Matthew Hatem, Martin Riedl:
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity. TextGraphs@EMNLP 2013: 6-10 - [c32]Martin Riedl, Chris Biemann:
From Global to Local Similarities: A Graph-Based Contextualization Method using Distributional Thesauri. TextGraphs@EMNLP 2013: 39-43 - [e3]Iryna Gurevych, Chris Biemann, Torsten Zesch:
Language Processing and Knowledge in the Web - 25th International Conference, GSCL 2013, Darmstadt, Germany, September 25-27, 2013. Proceedings. Lecture Notes in Computer Science 8105, Springer 2013, ISBN 978-3-642-40721-5 [contents] - [e2]Harith Alani, Lalana Kagal, Achille Fokoue, Paul Groth, Chris Biemann, Josiane Xavier Parreira, Lora Aroyo, Natasha F. Noy, Chris Welty, Krzysztof Janowicz:
The Semantic Web - ISWC 2013 - 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part I. Lecture Notes in Computer Science 8218, Springer 2013, ISBN 978-3-642-41334-6 [contents] - [e1]Harith Alani, Lalana Kagal, Achille Fokoue, Paul Groth, Chris Biemann, Josiane Xavier Parreira, Lora Aroyo, Natasha F. Noy, Chris Welty, Krzysztof Janowicz:
The Semantic Web - ISWC 2013 - 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8219, Springer 2013, ISBN 978-3-642-41337-7 [contents] - 2012
- [b2]Christian Biemann:
Structure Discovery in Natural Language. Theory and Applications of Natural Language Processing, Springer 2012, ISBN 978-3-642-25922-7, pp. I-XX, 1-178 - [j6]Chris Biemann:
Graph-Based Natural Language Processing and Information Retrieval Rada Mihalcea and Dragomir Radev (University of North Texas and University of Michigan) Cambridge, UK: Cambridge University Press, 2011, viii+192 pp; hardbound, ISBN 978-0-521-89613-9, $65.00. Comput. Linguistics 38(1): 219-221 (2012) - [j5]Martin Riedl, Chris Biemann:
Text Segmentation wit h Topic Models. J. Lang. Technol. Comput. Linguistics 27(1): 47-69 (2012) - [c31]Chris Biemann, Stefanie Roos, Karsten Weihe:
Quantifying Semantics using Complex Network Analysis. COLING 2012: 263-278 - [c30]Tristan Miller, Chris Biemann, Torsten Zesch, Iryna Gurevych:
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation. COLING 2012: 1781-1796 - [c29]Chris Biemann:
Turk Bootstrap Word Sense Inventory 2.0: A Large-Scale Resource for Lexical Substitution. LREC 2012: 4038-4042 - [c28]Martin Riedl, Chris Biemann:
How Text Segmentation Algorithms Gain from Topic Models. HLT-NAACL 2012: 553-557 - [c27]Daniel Bär, Chris Biemann, Iryna Gurevych, Torsten Zesch:
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures. SemEval@NAACL-HLT 2012: 435-440 - 2010
- [c26]Chris Biemann:
Co-Occurrence Cluster Features for Lexical Substitutions in Context. TextGraphs@ACL 2010: 55-59
2000 – 2009
- 2009
- [c25]Chris Biemann, Monojit Choudhury, Animesh Mukherjee:
Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks. ACL/IJCNLP (2) 2009: 245-248 - [i1]Chris Biemann, Monojit Choudhury, Animesh Mukherjee:
Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks. CoRR abs/0906.1467 (2009) - 2008
- [c24]Florian Holz, Chris Biemann:
Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases. CICLing 2008: 117-127 - [c23]Chris Biemann, Uwe Quasthoff, Gerhard Heyer, Florian Holz:
ASV Toolbox: a Modular Collection of Language Exploration Tools. LREC 2008 - [c22]Joy Deep Nath, Monojit Choudhury, Animesh Mukherjee, Christian Biemann, Niloy Ganguly:
Unsupervised Parts-of-Speech Induction for Bengali. LREC 2008 - 2007
- [b1]Christian Biemann:
Unsupervised and knowledge-free natural language processing in the structure discovery paradigm. Leipzig University, Germany, 2007, pp. I-XVI, 1-181 - [c21]Berenike Loos, Chris Biemann:
Supporting Web-based Address Extraction with Unsupervised Tagging. GfKl 2007: 577-584 - [c20]Chris Biemann:
Unsupervised Natural Language Processing Using Graph Models. HLT-NAACL (Doctoral Consortium) 2007: 37-40 - [c19]Chris Biemann:
A Random Text Model for the Generation of Statistical Language Invariants. HLT-NAACL 2007: 105-112 - [c18]Richard Socher, Chris Biemann, Rainer Osswald:
Combining Contexts in Lexicon Learning for Semantic Parsing. NODALIDA 2007: 175-182 - [c17]Erla Hallsteinsdóttir, Thomas Eckart, Chris Biemann, Uwe Quasthoff, Matthias Richter:
İslenskur Orðasjóður - Building a Large Icelandic Corpus. NODALIDA 2007: 288-291 - [c16]Chris Biemann, Uwe Quasthoff:
Similarity of Documents and Document Collections using Attributes with Low Noise. WEBIST (2) 2007: 130-135 - [p1]Christian Biemann:
Das Structure Discovery Paradigma: Unüberwachte und Vorwissensfreie Automatische Sprachverarbeitung [Unsupervised and Knowledge-free Natural Language Processing in the Structure Discovery Paradigm]. Ausgezeichnete Informatikdissertationen 2007: 31-40 - 2006
- [c15]Chris Biemann:
Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering. ACL 2006 - [c14]Unni Cathrine Eiken, Anja Therese Liseth, Hans Friedrich Witschel, Matthias Richter, Chris Biemann:
Ord i Dag: Mining Norwegian Daily Newswire. FinTAL 2006: 512-523 - [c13]Uwe Quasthoff, Matthias Richter, Christian Biemann:
Corpus Portal for Search in Monolingual Corpora. LREC 2006: 1799-1802 - 2005
- [j4]Chris Biemann:
Ontology Learning from Text: A Survey of Methods. LDV Forum 20(2): 75-93 (2005) - [c12]Christian Biemann, Sven Teresniak:
Disentangling from Babylonian Confusion - Unsupervised Language Identification. CICLing 2005: 773-784 - [c11]Chris Biemann, Rainer Osswald:
Automatic Extension of Feature-based Semantic Lexicons via Contextual Attributes. GfKl 2005: 326-333 - [c10]Chris Biemann, Uwe Quasthoff:
Dictionary acquisition using parallel text and co-occurrence statistics. NODALIDA 2005: 22-29 - [c9]Hans Friedrich Witschel, Chris Biemann:
Rigorous dimensionality reduction through linguistically motivated feature selection for text categorization. NODALIDA 2005: 210-217 - 2004
- [j3]Christian Biemann, Stefan Bordag, Uwe Quasthoff:
Lernen paradigmatischer Relationen auf iterierten Kollokationen. LDV Forum 19(1/2): 103-111 (2004) - [c8]Christian Biemann, Stefan Bordag, Gerhard Heyer, Uwe Quasthoff, Christian Wolff:
Language-Independent Methods for Compiling Monolingual Lexical Data. CICLing 2004: 217-228 - [c7]Chris Biemann, Saim Shin, Key-Sun Choi:
Semiautomatic Extension of CoreNet using a Bootstrapping Mechanism on Corpus-based Co-occurrences. COLING 2004 - [c6]Christian Biemann, Karsten Böhm, Gerhard Heyer, Ronny Melz:
Automatically Building Concept Structures and Displaying Concept Trails for the Use in Brainstorming Sessions and Content Management Systems. IICS 2004: 157-167 - [c5]Chris Biemann, Stefan Bordag, Uwe Quasthoff:
Automatic Acquisition of Paradigmatic Relations Using Iterated Co-occurrences. LREC 2004 - [c4]Christian Biemann, Stefan Bordag, Uwe Quasthoff, Christian Wolff:
Web Services for Language Resources and Language Technology Applications. LREC 2004 - [c3]Christian Biemann, Uwe Quasthoff, Christian Wolff:
Linguistic Corpus Search. LREC 2004 - [c2]Christian Biemann, Karsten Böhm, Gerhard Heyer, Ronny Melz:
SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections. PKDD 2004: 534-536 - 2003
- [j2]Christian Biemann, Uwe Quasthoff, Karsten Böhm, Christian Wolff:
Automatic Discovery and Aggregation of Compound Names for the Use in Knowledge Representations. J. Univers. Comput. Sci. 9(6): 530-550 (2003) - [j1]Christian Biemann:
Extraktion von semantischen Relationen aus natürlichsprachlichem Text mit Hilfe von maschinellem Lernen. LDV Forum 18(1/2): 12-25 (2003) - 2002
- [c1]Uwe Quasthoff, Christian Biemann, Christian Wolff:
Named Entity Learning and Verification: Expectation Maximization in Large Corpora. CoNLL 2002
Coauthor Index
[j27] [c219] [i60] [c205] [c195] [j25] [c188] [c187] [c186] [c168] [c167] [c164] [c163] [d6] [d5] [j21] [c151] [c150] [c148] [c144] [c141] [d4] [d3] [d2] [i45] [i42] [j20] [c140] [c139] [c137] [c136] [c135] [c133] [c132] [c123] [c121] [d1] [i37] [i36] [i35] [i34] [i32] [j15] [c120] [c110] [c108] [c107] [c106] [c104] [c100] [i29] [i26] [i24] [i21] [i20] [i17] [i16] [c99] [c98] [c95] [c94] [c93] [c92] [c86] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c79] [c77] [c71] [c64] [c62] [c61]
[c221] [i66] [i63] [i60] [c209] [c200] [c193] [c192] [i57] [j24] [c183] [c178] [c175] [i49] [j23] [c170] [c165] [c160] [c155] [c154] [i47] [c149] [c145] [c143] [i46] [i44] [i40] [i38] [i30] [c119] [c115] [c114] [c113] [c101] [i27] [i23] [i22] [i19] [i18] [c91] [c86] [c85] [c84] [c81] [j14] [c79] [c68] [c66] [c59] [c56] [c48] [c39]
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