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2020 – today
- 2025
[c50]Hamidreza Amirzadeh, Sadegh Jafari, Anika Harju, Rob van der Goot:
data2lang2vec: Data Driven Typological Features Completion. COLING 2025: 6520-6529- [c49]Malthe Have Musaeus, Rob van der Goot:
Iterative Structured Knowledge Distillation: Optimizing Language Models Through Layer-by-Layer Distillation. COLING 2025: 6601-6606 - 2024
- [c48]Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot:
Can Humans Identify Domains? LREC/COLING 2024: 2745-2765 - [c47]Rob van der Goot, Zoey Liu, Max Müller-Eberstein:
Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies. LREC/COLING 2024: 6167-6176 - [c46]Elisa Bassignana, Viggo Unmack Gascou, Frida Nøhr Laustsen, Gustav Kristensen, Marie Haahr Petersen, Rob van der Goot, Barbara Plank:
How to Encode Domain Information in Relation Classification. LREC/COLING 2024: 8301-8306 - [c45]Miriam Winkler, Virginija Juozapaityte, Rob van der Goot, Barbara Plank:
Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants. LREC/COLING 2024: 14898-14915 - [c44]Mike Zhang, Rob van der Goot, Barbara Plank:
Entity Linking in the Job Market Domain. EACL (Findings) 2024: 410-419 - [c43]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. EACL (1) 2024: 589-608 - [c42]Elisa Bassignana, Rob van der Goot, Barbara Plank:
What's wrong with your model? A Quantitative Analysis of Relation Classification. *SEM@NAACL 2024: 252-263 - [i34]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. CoRR abs/2401.17092 (2024) - [i33]Mike Zhang, Rob van der Goot, Barbara Plank:
Entity Linking in the Job Market Domain. CoRR abs/2401.17979 (2024) - [i32]Axel Sorensen, Siyao Peng, Barbara Plank, Rob van der Goot:
EEVEE: An Easy Annotation Tool for Natural Language Processing. CoRR abs/2402.02864 (2024) - [i31]Elena Senger, Mike Zhang, Rob van der Goot, Barbara Plank:
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings. CoRR abs/2402.05617 (2024) - [i30]Charlie Campanella, Rob van der Goot:
Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models. CoRR abs/2403.08046 (2024) - [i29]Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot:
Can Humans Identify Domains? CoRR abs/2404.01785 (2024) - [i28]Elisa Bassignana, Viggo Unmack Gascou, Frida Nøhr Laustsen, Gustav Kristensen, Marie Haahr Petersen, Rob van der Goot, Barbara Plank:
How to Encode Domain Information in Relation Classification. CoRR abs/2404.13760 (2024) - [i27]Hamidreza Amirzadeh, Sadegh Jafari, Anika Harju, Rob van der Goot:
data2lang2vec: Data Driven Typological Features Completion. CoRR abs/2409.17373 (2024) - [i26]Mike Zhang, Max Müller-Eberstein, Elisa Bassignana, Rob van der Goot:
SnakModel: Lessons Learned from Training an Open Danish Large Language Model. CoRR abs/2412.12956 (2024) - [i25]Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank:
KARRIEREWEGE: A Large Scale Career Path Prediction Dataset. CoRR abs/2412.14612 (2024) - 2023
- [c41]Lina Skerath, Paulina Toborek, Anita Zielinska, Maria Barrett, Rob van der Goot:
Native Language Prediction from Gaze: a Reproducibility Study. ACL (student) 2023: 152-159 - [c40]Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank:
Silver Syntax Pre-training for Cross-Domain Relation Extraction. ACL (Findings) 2023: 6984-6993 - [c39]Mike Zhang, Rob van der Goot, Barbara Plank:
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. ACL (1) 2023: 11871-11890 - [c38]Robert Litschko, Max Müller-Eberstein
, Rob van der Goot, Leon Weber-Genzel, Barbara Plank:
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation. EMNLP 2023: 193-203 - [c37]Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov:
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. EMNLP (Findings) 2023: 13190-13208 - [c36]Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank:
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction. NoDaLiDa 2023: 80-85 - [c35]Kia Kirstein Hansen, Maria Barrett, Max Müller-Eberstein, Cathrine Damgaard, Trine Eriksen, Rob van der Goot:
DanTok: Domain Beats Language for Danish Social Media POS Tagging. NoDaLiDa 2023: 271-279 - [c34]Rob van der Goot:
MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of Datasets. SemEval@ACL 2023: 230-245 - [c33]Noëmi Aepli, Çagri Çöltekin, Rob van der Goot, Tommi Jauhiainen, Mourhaf Kazzaz, Nikola Ljubesic, Kai North, Barbara Plank, Yves Scherrer, Marcos Zampieri:
Findings of the VarDial Evaluation Campaign 2023. VarDial@EACL 2023: 251-261 - [i24]Kia Kirstein Hansen, Rob van der Goot:
Cross-Domain Evaluation of POS Taggers: From Wall Street Journal to Fandom Wiki. CoRR abs/2304.13989 (2023) - [i23]Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank:
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction. CoRR abs/2305.10985 (2023) - [i22]Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank:
Silver Syntax Pre-training for Cross-Domain Relation Extraction. CoRR abs/2305.11016 (2023) - [i21]Mike Zhang, Rob van der Goot, Barbara Plank:
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. CoRR abs/2305.12092 (2023) - [i20]Noëmi Aepli, Çagri Çöltekin, Rob van der Goot, Tommi Jauhiainen, Mourhaf Kazzaz, Nikola Ljubesic, Kai North, Barbara Plank, Yves Scherrer, Marcos Zampieri:
Findings of the VarDial Evaluation Campaign 2023. CoRR abs/2305.20080 (2023) - [i19]Robert Litschko, Max Müller-Eberstein, Rob van der Goot, Leon Weber, Barbara Plank:
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation. CoRR abs/2310.05442 (2023) - [i18]Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov:
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. CoRR abs/2310.16484 (2023) - 2022
- [c32]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Probing for Labeled Dependency Trees. ACL (1) 2022: 7711-7726 - [c31]Marcus Vielsted, Nikolaj Wallenius, Rob van der Goot:
Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data. W-NUT@COLING 2022: 180-193 - [c30]Sajawel Ahmed, Rob van der Goot, Misbahur Rehman, Carl Kruse, Ömer Özsoy, Alexander Mehler, Gemma Roig:
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature. COLING 2022: 3753-3768 - [c29]Tanja Samardzic, Ximena Gutierrez-Vasques, Rob van der Goot, Max Müller-Eberstein, Olga Pelloni, Barbara Plank:
On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers. CoNLL 2022: 266-281 - [c28]Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, Barbara Plank:
Experimental Standards for Deep Learning in Natural Language Processing Research. EMNLP (Findings) 2022: 2673-2692 - [c27]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Spectral Probing. EMNLP 2022: 7730-7741 - [c26]Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank:
Skill Extraction from Job Postings using Weak Supervision. HR@RecSys 2022 - [c25]Rob van der Goot, Max Müller-Eberstein, Barbara Plank:
Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings. LREC 2022: 1418-1427 - [c24]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Sort by Structure: Language Model Ranking as Dependency Probing. NAACL-HLT 2022: 1296-1307 - [c23]Rob van der Goot:
MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets. SemEval@NAACL 2022: 1695-1703 - [i17]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Probing for Labeled Dependency Trees. CoRR abs/2203.12971 (2022) - [i16]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Sort by Structure: Language Model Ranking as Dependency Probing. CoRR abs/2206.04935 (2022) - [i15]Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank:
Skill Extraction from Job Postings using Weak Supervision. CoRR abs/2209.08071 (2022) - [i14]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Spectral Probing. CoRR abs/2210.11860 (2022) - 2021
- [c22]Dana-Maria Iliescu, Rasmus Grand, Sara Qirko, Rob van der Goot:
Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get? CALCS@NAACL 2021: 65-71 - [c21]Rob van der Goot, Ahmet Üstün, Alan Ramponi, Ibrahim Sharaf, Barbara Plank:
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP. EACL (System Demonstrations) 2021: 176-197 - [c20]Rob van der Goot, Özlem Çetinoglu:
Lexical Normalization for Code-switched Data and its Effect on POS Tagging. EACL 2021: 2352-2365 - [c19]Rob van der Goot:
We Need to Talk About train-dev-test Splits. EMNLP (1) 2021: 4485-4494 - [c18]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Genre as Weak Supervision for Cross-lingual Dependency Parsing. EMNLP (1) 2021: 4786-4802 - [c17]Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. NAACL-HLT 2021: 2479-2497 - [i13]Anouck Braggaar, Rob van der Goot:
Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data. CoRR abs/2102.11152 (2021) - [i12]Rob van der Goot, Ahmet Üstün, Barbara Plank:
On the Effectiveness of Dataset Embeddings in Mono-lingual, Multi-lingual and Zero-shot Conditions. CoRR abs/2103.01273 (2021) - [i11]Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. CoRR abs/2105.07316 (2021) - [i10]Barbara Plank, Kristian Nørgaard Jensen, Rob van der Goot:
DaN+: Danish Nested Named Entities and Lexical Normalization. CoRR abs/2105.11301 (2021) - [i9]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Genre as Weak Supervision for Cross-lingual Dependency Parsing. CoRR abs/2109.04733 (2021) - [i8]Rob van der Goot, Miryam de Lhoneux:
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings. CoRR abs/2112.03625 (2021) - [i7]Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
How Universal is Genre in Universal Dependencies? CoRR abs/2112.04971 (2021) - 2020
- [j2]Malvina Nissim, Rik van Noord, Rob van der Goot:
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor. Comput. Linguistics 46(2): 487-497 (2020) - [c16]Anders Giovanni Møller, Rob van der Goot, Barbara Plank:
NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets. W-NUT@EMNLP 2020: 331-336 - [c15]Barbara Plank, Kristian Nørgaard Jensen, Rob van der Goot:
DaN+: Danish Nested Named Entities and Lexical Normalization. COLING 2020: 6649-6662 - [c14]Alan Ramponi, Rob van der Goot, Rosario Lombardo, Barbara Plank:
Biomedical Event Extraction as Sequence Labeling. EMNLP (1) 2020: 5357-5367 - [c13]Rob van der Goot, Alan Ramponi, Tommaso Caselli, Michele Cafagna, Lorenzo De Mattei:
Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing. LREC 2020: 6272-6278 - [c12]Kelly Dekker, Rob van der Goot:
Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data? LREC 2020: 6300-6309 - [i6]Rob van der Goot, Ahmet Üstün, Alan Ramponi, Barbara Plank:
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP. CoRR abs/2005.14672 (2020) - [i5]Rob van der Goot, Özlem Çetinoglu:
Lexical Normalization for Code-switched Data and its Effect on POS-tagging. CoRR abs/2006.01175 (2020)
2010 – 2019
- 2019
- [c11]Rob van der Goot:
MoNoise: A Multi-lingual and Easy-to-use Lexical Normalization Tool. ACL (3) 2019: 201-206 - [c10]Rob van der Goot:
An In-depth Analysis of the Effect of Lexical Normalization on the Dependency Parsing of Social Media. W-NUT@EMNLP 2019: 115-120 - [c9]Aria Nourbakhsh, Frida Vermeer, Gijs Wiltvank, Rob van der Goot:
sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection. SemEval@NAACL-HLT 2019: 484-488 - [i4]Malvina Nissim, Rik van Noord, Rob van der Goot:
Fair is Better than Sensational: Man is to Doctor as Woman is to Doctor. CoRR abs/1905.09866 (2019) - 2018
- [c8]Rob van der Goot, Nikola Ljubesic, Ian Matroos, Malvina Nissim, Barbara Plank:
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction. ACL (2) 2018: 383-389 - [c7]Rob van der Goot, Gertjan van Noord:
Modeling Input Uncertainty in Neural Network Dependency Parsing. EMNLP 2018: 4984-4991 - [c6]Rob van der Goot, Rik van Noord, Gertjan van Noord:
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content. LREC 2018 - [i3]Rob van der Goot, Nikola Ljubesic, Ian Matroos, Malvina Nissim, Barbara Plank:
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction. CoRR abs/1805.03122 (2018) - 2017
- [j1]Malvina Nissim, Lasha Abzianidze, Kilian Evang, Rob van der Goot, Hessel Haagsma, Barbara Plank, Martijn Wieling:
Sharing Is Caring: The Future of Shared Tasks. Comput. Linguistics 43(4) (2017) - [c5]Rob van der Goot, Gertjan van Noord:
Parser Adaptation for Social Media by Integrating Normalization. ACL (2) 2017: 491-497 - [c4]Rob van der Goot, Barbara Plank, Malvina Nissim:
To normalize, or not to normalize: The impact of normalization on Part-of-Speech tagging. NUT@EMNLP 2017: 31-39 - [i2]Rob van der Goot, Barbara Plank, Malvina Nissim:
To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging. CoRR abs/1707.05116 (2017) - [i1]Rob van der Goot, Gertjan van Noord:
MoNoise: Modeling Noise Using a Modular Normalization System. CoRR abs/1710.03476 (2017) - 2016
- [c3]Joachim Daiber, Rob van der Goot:
The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions. LREC 2016 - 2015
- [c2]Rob van der Goot, Gertjan van Noord:
ROB: Using Semantic Meaning to Recognize Paraphrases. SemEval@NAACL-HLT 2015: 40-44 - 2014
- [c1]Johannes Bjerva, Johan Bos, Rob van der Goot, Malvina Nissim:
The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity. SemEval@COLING 2014: 642-646
Coauthor Index
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