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ORCIDCLEF 2021: Bucharest, Romania - Working Notes
- Guglielmo Faggioli
, Nicola Ferro, Alexis Joly, Maria Maistro, Florina Piroi:
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021. CEUR Workshop Proceedings 2936, CEUR-WS.org 2021 - Preface.
ARQMath: Answer Retrieval for Questions on Math
- Behrooz Mansouri, Richard Zanibbi, Douglas W. Oard, Anurag Agarwal:
Overview of ARQMath-2 (2021): Second CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version). 1-24 - Robin Avenoso, Behrooz Mansouri, Richard Zanibbi:
XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and Autocompletion. 25-35 - Pankaj Dadure, Partha Pakray, Sivaji Bandyopadhyay:
BERT-Based Embedding Model for Formula Retrieval. 36-46 - Behrooz Mansouri, Douglas W. Oard, Richard Zanibbi:
DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula Retrieval. 47-62 - Yin Ki Ng, Dallas J. Fraser, Besat Kassaie, Frank Wm. Tompa:
Dowsing for Answers to Math Questions: Ongoing Viability of Traditional MathIR. 63-81 - Vít Novotný, Michal Stefánik, Dávid Lupták, Martin Geletka, Petr Zelina, Petr Sojka:
Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021. 82-106 - Anja Reusch, Maik Thiele, Wolfgang Lehner:
TU_DBS in the ARQMath Lab 2021, CLEF. 107-124 - Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab. 125-132 - Wei Zhong, Xinyu Zhang, Ji Xin, Richard Zanibbi, Jimmy Lin:
Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens. 133-156
BioASQ: Large-scale biomedical semantic indexing and question answering
- Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara, Georgios Paliouras:
Overview of BioASQ Tasks 9a, 9b and Synergy in CLEF2021. 157-164 - Luis Gascó, Anastasios Nentidis, Anastasia Krithara, Darryl Estrada-Zavala, Renato Toshiyuki Murasaki, Elena Primo-Peña, Cristina Bojo-Canales, Georgios Paliouras, Martin Krallinger:
Overview of BioASQ 2021-MESINESP track. Evaluation of advance hierarchical classification techniques for scientific literature, patents and clinical trials. 165-187 - Tiago Melo Almeida, Sérgio Matos:
BioASQ Synergy: A strong and simple baseline rooted in relevance feedback. 188-195 - Tiago Melo Almeida, Sérgio Matos:
Universal Passage Weighting Mecanism (UPWM) in BioASQ 9b. 196-212 - Sultan Alrowili, Vijay Shanker:
Large Biomedical Question Answering Models with ALBERT and ELECTRA. 213-220 - Aitor García Pablos, Naiara Pérez, Montse Cuadros:
Vicomtech at MESINESP2: BERT-based Multi-label Classification Models for Biomedical Text Indexing. 221-230 - Seethalakshmi Gopalakrishnan, Swathi Padithala, Hilmi Demirhan, Wlodek Zadrozny:
MDS_UNCC Question Answering System for Biomedical Data with Preliminary Error Analysis. 231-240 - Yi Huang, Buse Giledereli, Abdullatif Köksal, Arzucan Özgür, Elif Ozkirimli:
PIDNA at BioASQ MESINESP: Hybrid Semantic Indexing for Biomedical Articles in Spanish. 241-246 - Urvashi Khanna, Diego Mollá:
Transformer-based Language Models for Factoid Question Answering at BioASQ9b. 247-257 - Margarida M. Campos, Francisco M. Couto:
Post-processing BioBERT And Using Voting Methods for Biomedical Question Answering. 258-273 - Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski:
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions. 274-285 - Ibrahim Burak Özyurt:
End-to-end Biomedical Question Answering via Bio-AnswerFinder and Discriminative Language Representation Models. 286-301 - Alastair R. Rae, James G. Mork, Dina Demner-Fushman:
A Neural Text Ranking Approach for Automatic MeSH Indexing. 302-312 - Francisco J. Ribadas-Pena, Shuyuan Cao, Elmurod Kuriyozov:
COLE and LYS at BioASQ MESINESP Task: large scale multilabel text categorization with sparse and dense indices. 313-323 - Pedro Ruas, Vitor D. T. Andrade, Francisco M. Couto:
LASIGE-BioTM at MESINESP2: entity linking with semantic similarity and extreme multi-label classification on Spanish biomedical documents. 324-334 - Mourad Sarrouti, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman:
NLM at BioASQ Synergy 2021: Deep Learning-based Methods for Biomedical Semantic Question Answering about COVID-19. 335-350 - Wonjin Yoon, Jaehyo Yoo, Sumin Seo, Mujeen Sung, Minbyul Jeong, Gangwoo Kim, Jaewoo Kang:
KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering. 351-359 - Yu Zhang, Jen-Chieh Han, Richard Tzong-Han Tsai:
NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase B. 360-368
CheckThat!: Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
- Shaden Shaar, Maram Hasanain, Bayan Hamdan, Zien Sheikh Ali, Fatima Haouari, Alex Nikolov, Mücahid Kutlu, Yavuz Selim Kartal, Firoj Alam, Giovanni Da San Martino, Alberto Barrón-Cedeño, Rubén Míguez, Javier Beltrán, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates. 369-392 - Shaden Shaar, Fatima Haouari, Watheq Mansour, Maram Hasanain, Nikolay Babulkov, Firoj Alam, Giovanni Da San Martino, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates. 393-405 - Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl:
Overview of the CLEF-2021 CheckThat! Lab: Task 3 on Fake News Detection. 406-423 - Amani S. Abumansour, Arkaitz Zubiaga:
QMUL-SDS at CheckThat! 2021: Enriching Pre-Trained Language Models for the Estimation of Check-Worthiness of Arabic Tweets. 424-429 - Saud Althabiti, Mohammad Ammar Alsalka, Eric Atwell:
SCUoL at CheckThat! 2021: An AraBERT Model for Check-Worthiness of Arabic Tweets. 430-434 - Sohel Siddique Ashik, Abdur Rahman Apu, Nusrat Jahan Marjana, Md. Sanzidul Islam, Md. Arid Hassan:
M82B at CheckThat! 2021: Multiclass Fake News Detection Using BiLSTM. 435-445 - Noman Ashraf, Sabur Butt, Grigori Sidorov, Alexander F. Gelbukh:
CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data Augmentation. 446-454 - Fazlourrahman Balouchzahi, Hosahalli Lakshmaiah Shashirekha, Grigori Sidorov:
MUCIC at CheckThat! 2021: FaDo-Fake News Detection and Domain Identification using Transformers Ensembling. 455-464 - Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso:
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims. 465-475 - Buse Çarik, Reyyan Yeniterzi:
SU-NLP at CheckThat! 2021: Check-Worthiness of Turkish Tweets. 476-483 - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims. 484-493 - Ciprian-Gabriel Cusmuliuc, Matei Alexandru Amarandei, Ioana Pelin, Vlad-Iulian Cociorva, Adrian Iftene:
UAICS at CheckThat! 2021: Fake news detection. 494-507 - Philipp Hartl, Udo Kruschwitz:
University of Regensburg at CheckThat! 2021: Exploring Text Summarization for Fake News Detection. 508-519 - Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho:
CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification. 520-530 - William Kana Tsoplefack:
Classifier for fake news detection and Topical Domain of News Articles. 531-536 - Ninko Kovachevich:
Nkovachevich at CheckThat! 2021: BERT fine-tuning approach to fake news detection. 537-544 - Juan R. Martinez-Rico, Juan Martínez-Romo, Lourdes Araujo:
NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models. 545-557 - Simona Mihaylova, Iva Borisova, Dzhovani Chemishanov, Preslav Hadzhitsanev, Momchil Hardalov, Preslav Nakov:
DIPS at CheckThat! 2021: Verified Claim Retrieval. 558-571 - Albert Pritzkau:
NLytics at CheckThat! 2021: Multi-class fake news detection of news articles and domain identification with RoBERTa - a baseline model. 572-581 - Albert Pritzkau:
NLytics at CheckThat! 2021: Detecting Previously Fact-Checked Claims by Measuring Semantic Similarity. 582-591 - Albert Pritzkau:
NLytics at CheckThat! 2021: Check-Worthiness Estimation as a Regression Problem on Transformers. 592-602 - Hariharan RamakrishnaIyer LekshmiAmmal, Anand Kumar Madasamy:
NITK_NLP at CheckThat! 2021: Ensemble Transformer Model for Fake News Classification. 603-611 - Abdullah Al Mamun Sardar, Shahalu Akter Salma, Md. Sanzidul Islam, Md. Arid Hasan, Touhid Bhuiyan:
Team Sigmoid at CheckThat!2021 Task 3a: Multiclass fake news detection with Machine Learning. 612-618 - Rudra Sarker Utsha, Mumenunnessa Keya, Md. Arid Hasan, Md. Sanzidul Islam:
Qword at CheckThat! 2021: An Extreme Gradient Boosting Approach for Multiclass Fake News Detection. 619-627 - Robiert Sepúlveda-Torres, Estela Saquete:
GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTa. 628-638 - Beata Skuczynska, Shaden Shaar, Jennifer Spenader, Preslav Nakov:
BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data. 639-647 - S. M. Sohan, Sharun Akter Khushbu, Md. Sanzidul Islam, Md. Arid Hasan:
BlackOps at CheckThat! 2021: User Profiles Analyze of Intelligent Detection on Fake Tweets Notebook for PAN. 648-658 - Evan M. Williams, Paul Rodrigues, Sieu Tran:
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation. 659-669 - Muhammed Said Zengin, Yavuz Selim Kartal, Mücahid Kutlu:
TOBB ETU at CheckThat! 2021: Data Engineering for Detecting Check-Worthy Claims. 670-680 - Xinrui Zhou, Bohuai Wu, Pascale Fung:
Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-Worthiness. 681-692
ChEMU: Cheminformatics Elsevier Melbourne University lab
- Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor:
Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents. 693-709 - Ritam Dutt, Sopan Khosla, Carolyn P. Rosé:
A pipelined approach to Anaphora Resolution in Chemical Patents. 710-719 - Kojiro Machi, Masaharu Yoshioka:
HUKB at ChEMU 2021 Task 2: Anaphora Resolution. 720-731
eHealth: CLEFeHealth
- Viviana Cotik, Laura Alonso Alemany, Darío Filippo, Franco Luque, Roland Roller, Jorge Vivaldi, Ammer Ayach, Fernando Carranza, Lucas Defrancesca, Antonella Dellanzo, Macarena Fernández Urquiza:
Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports. 732-750 - Lorraine Goeuriot, Hanna Suominen, Gabriella Pasi, Elias Bassani, Nicola Brew-Sam, Gabriela Nicole González Sáez, Liadh Kelly, Philippe Mulhem, Sandaru Seneviratne, Rishabh Upadhyay, Marco Viviani, Chenchen Xu:
Consumer Health Search at CLEF eHealth 2021. 751-769 - Giorgio Maria Di Nunzio:
IMS-UNIPD @ CLEF eHealth Task 1: A Memory Based Reproducible Baseline. 770-774 - Giorgio Maria Di Nunzio, Federica Vezzani:
IMS-UNIPD @ CLEF eHealth Task 2: Reciprocal Ranking Fusion in CHS. 775-779 - Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts. 780-793 - Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín-Valdivia:
Pre-trained language models to extract information from radiological reports. 794-803 - Miguel Ángel Martín-Caro García-Largo, Isabel Segura-Bedmar:
Extracting information from radiology reports by Natural Language Processing and Deep Learning. 804-817 - Marco Polignano, Marco de Gemmis, Giovanni Semeraro:
Comparing Transformer-based NER approaches for analysing textual medical diagnoses. 818-833 - Oswaldo Solarte Pabón, Orlando Montenegro, Alberto Blázquez-Herranz, Hadi Saputro, Alejandro Rodríguez González, Ernestina Menasalvas:
Information Extraction from Spanish Radiology Reports using multilingual BERT. 834-845 - Víctor Suárez-Paniagua, Hang Dong, Arlene Casey:
A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. 846-856 - Hua Yang, Xiaoming Liu, Binbin Zheng, Guan Yang:
Learning to rank for Consumer Health Search. 857-863
eRisk: Early Risk Prediction on the Internet
- Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). 864-887 - Hassan Alhuzali, Tianlin Zhang, Sophia Ananiadou:
Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. 888-896 - Lucas Barros, Alina Trifan, José Luís Oliveira:
VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social mining. 897-907 - Angelo Basile, Mara Chinea-Rios, Ana Sabina Uban, Thomas Müller, Luise Rössler, Seren Yenikent, Berta Chulvi, Paolo Rosso, Marc Franco-Salvador:
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet. 908-927 - Tanmay Basu, Georgios V. Gkoutos:
Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social Media. 928-937 - Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu:
Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT. 938-949 - Elena Campillo Ageitos, Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features. 950-965 - Diana Inkpen, Ruba Skaik, Prasadith Buddhitha, Dimo Angelov, Maxwell Thomas Fredenburgh:
uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep Learning. 966-980 - Rui Pedro Lopes:
CeDRI at eRisk 2021: A Naive Approach to Early Detection of Psychological Disorders in Social Media. 981-991 - Juan Martín Loyola, Sergio Burdisso, Horacio Thompson, Leticia C. Cagnina, Marcelo Errecalde:
UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection. 992-1021 - Raffaele Manna, Johanna Monti:
UniOR NLP at eRisk 2021: Assessing the Severity of Depression with Part of Speech and Syntactic Features. 1022-1030 - Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Thomas Soulas, Marie-Jean Meurs:
Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks. 1031-1045 - Christoforos Spartalis, George Drosatos, Avi Arampatzis:
Transfer Learning for Automated Responses to the BDI Questionnaire. 1046-1058 - Qamar Un Nisa, Rafi Muhammad:
Towards transfer learning using BERT for early detection of self-harm of social media users. 1059-1070 - Shih-Hung Wu, Zhao-Jun Qiu:
A RoBERTa-based model on measuring the severity of the signs of depression. 1071-1080
ImageCLEF: Multimedia Retrieval Challenge in CLEF
- Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan, Henning Müller:
Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain. 1081-1088 - Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification. 1089-1100 - Obioma Pelka, Asma Ben Abacha, Alba Garcia Seco de Herrera, Janadhip Jacutprakart, Christoph M. Friedrich, Henning Müller:
Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task. 1101-1112 - Jon Chamberlain, Alba García Seco de Herrera, Antonio Campello, Adrian F. Clark, Thomas Oliver, Hassan Moustahfid:
Overview of ImageCLEFcoral 2021: Coral Reef Image Annotation of a 3D Environment. 1113-1120 - Raul Berari, Andrei Tauteanu, Dimitri Fichou, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Bogdan Ionescu:
Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIs. 1121-1132 - Emad Aghajanzadeh, Behzad Shomali, Diba Aminshahidi, Navid Ghassemi:
Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks. 1133-1144 - Anirudh Anand, Karthik Raja Anandan, Bhuvana Jayaraman, Mirnalinee Thanga Nadar Thanga Thai:
Simple Neural Network based TB Classification. 1145-1150 - Tetsuya Asakawa, Riku Tsuneda, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image. 1151-1159 - Djamila Romaissa Beddiar, Mourad Oussalah, Tapio Seppänen:
Attention-based CNN-GRU Model For Automatic Medical Images Captioning: ImageCLEF 2021. 1160-1173 - Vicente Castro, Pablo Pino, Denis Parra, Hans Lobel:
PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU. 1174-1183 - Foivos Charalampakos, Vasilis Karatzas, Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos:
AUEB NLP Group at ImageCLEFmed Caption Tasks 2021. 1184-1200 - Imen Chebbi:
Chabbiimen at VQA-Med 2021: Visual Generation of Relevant Natural Language Questions from Radiology Images for Anomaly Detection. 1201-1210 - Sedigheh Eslami, Gerard de Melo, Christoph Meinel:
TeamS at VQA-Med 2021: BBN-Orchestra for Long-tailed Medical Visual Question Answering. 1211-1217 - Haifan Gong, Ricong Huang, Guanqi Chen, Guanbin Li:
SYSU-HCP at VQA-Med 2021: A Data-centric Model with Efficient Training Methodology for Medical Visual Question Answering. 1218-1228 - Rohit Gunti, Abebe Rorissa:
A Convolutional Neural Networks based Coral Reef Annotation and Localization. 1229-1238 - Prasang Gupta, Vishakha Bansal:
UI element detection from wireframe drawings of websites. 1239-1252 - Alexandra Hanganu, Cristian Simionescu, Lucia Georgiana Coca, Adrian Iftene:
UAIC2021: Lung Analysis for Tuberculosis Classification. 1253-1263 - Janadhip Jacutprakart, Francisco Parrilla Andrade, Rodolfo Cuan, Arely Aceves Compean, Giorgos Papanastasiou, Alba Garcia Seco de Herrera:
NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image Understanding. 1264-1274 - Jie Li, Shengyan Liu:
Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between Multimodality. 1275-1284 - Jie Li, Li Yang, Yang Bai:
Lijie at ImageCLEFmed Tuberculosis 2021: EfficientNet Simplified Tuberculosis Case Classification. 1285-1294 - Yong Li, Zhenguo Yang, Tianyong Hao:
TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering. 1295-1304 - Xing Lu, Eric Y. Chang, Chun-Nan Hsu, Jiang Du, Amilcare Gentili:
Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet. 1305-1309 - Cosmin Moisii, Radu Miron, Mihaela Breaban:
Identifying tuberculosis type in CTs. 1310-1316 - Aaron Nicolson, Jason Dowling, Bevan Koopman:
AEHRC CSIRO at ImageCLEFmed Caption 2021. 1317-1328 - Noor Mohamed Sheerin Sitara, Kavitha Srinivasan:
SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved Datasets. 1329-1335 - José Miguel Quintana, Daniel Florea, Ria Deane, Denis Parra, Pablo Pino, Pablo Messina, Hans Löbel:
PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans. 1336-1345 - Ricardo Schilling, Pablo Messina, Denis Parra, Hans Löbel:
PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN. 1346-1351 - Gregory Schuit, Vicente Castro, Pablo Pino, Denis Parra, Hans Lobel:
PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity. 1352-1358 - Lukás Soukup:
Automatic Coral Reef Annotation, Localization and Pixel-wise Parsing Using Mask R-CNN. 1359-1364 - Riku Tsuneda, Tetsuya Asakawa, Masaki Aono:
Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep Learning. 1365-1374 - Jirí Vyskocil, Lukás Picek:
Improving web user interface element detection using Faster R-CNN. 1375-1386 - Xuwen Wang, Zhen Guo, Chunyuan Xu, Lianglong Sun, Jiao Li:
ImageSem Group at ImageCLEFmed Caption 2021 Task: Exploring the Clinical Significance of the Textual Descriptions Derived from Medical Images. 1387-1393 - Jessica P. Wright, Ioana-Lia Palosanu, Louis G. Clift, Alba García Seco de Herrera, Jon Chamberlain:
Pixelwise annotation of coral reef substrates. 1394-1404 - Qian Xiao, Xiaobing Zhou, Ya Xiao, Kun Zhao:
Yunnan University at VQA-Med 2021: Pretrained BioBERT for Medical Domain Visual Question Answering. 1405-1411 - Hasib Zunair, Aimon Rahman, Nabeel Mohammed:
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans. 1412-1421
LifeCLEF: Multimedia Life Species Identification
- Hervé Goëau, Pierre Bonnet, Alexis Joly:
Overview of PlantCLEF 2021: cross-domain plant identification. 1422-1436 - Stefan Kahl, Tom Denton, Holger Klinck, Hervé Glotin, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, Alexis Joly:
Overview of BirdCLEF 2021: Bird call identification in soundscape recordings. 1437-1450 - Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images. 1451-1462 - Lukás Picek, Andrew Durso, Isabelle Bolon, Rafael Luis Ruiz De Castaneda:
Overview of SnakeCLEF 2021: Automatic Snake Species Identification with Country-Level Focus. 1463-1476 - Louise Bloch, Christoph M. Friedrich:
EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information. 1477-1498 - Rego Borsodi, Dávid Papp:
Incorporation of object detection models and location data into snake species classification. 1499-1511 - Rail Chamidullin, Milan Sulc, Jiri Matas, Lukás Picek:
A Deep Learning Method for Visual Recognition of Snake Species. 1512-1525 - Sophia Chulif, Yang Loong Chang:
Improved Herbarium-Field Triplet Network for Cross-Domain Plant Identification: NEUON Submission to LifeCLEF 2021 Plant. 1526-1539 - Lucia Georgiana Coca, Alexia Theodora Popa, Razvan Contantin Croitoru, Luciana Paraschiva Bejan, Adrian Iftene:
UAIC-AI at SnakeCLEF 2021: Impact of convolutions in snake species recognition. 1540-1546 - Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei:
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. 1547-1558 - Gyanendra Das, Saksham Aggarwal:
Bird-Species Audio Identification, Ensembling 1D + 2D Signals. 1559-1570 - Karthik Desingu, Palaniappan Mirunalini, Jitesh Kumar:
Snake Species Classification using Transfer Learning Technique. 1571-1578 - Christof Henkel, Pascal Pfeiffer, Philipp Singer:
Recognizing bird species in diverse soundscapes under weak supervision. 1579-1586 - Lekshmi Kalinathan, Prabavathy Balasundaram, Pradeep Ganesh, Sandeep Sekhar Bathala, Rahul Kumar Mukesh:
Automatic Snake Classification using Deep Learning Algorithm. 1587-1596 - Naoki Murakami, Hajime Tanaka, Masataka Nishimori:
Birdcall Identification Using CNN and Gradient Boosting Decision Trees with Weak and Noisy Supervision. 1597-1608 - Jean-Francois Puget:
STFT Transformers for Bird Song Recognition. 1609-1616 - Arunodhayan Sampath Kumar, Danny Kowerko:
TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets. 1617-1626 - Jan Schlüter:
Learning to Monitor Birdcalls From Weakly-Labeled Focused Recordings. 1627-1638 - Sachith Seneviratne:
Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species. 1639-1648 - Maxim Shugaev, Naoya Tanahashi, Philip Dhingra, Urvish Patel:
BirdCLEF 2021: building a birdcall segmentation model based on weak labels. 1649-1658 - Youshan Zhang, Brian D. Davison:
Weighted Pseudo Labeling Refinement for Plant Identification. 1659-1667
LiLAS: Living Labs for Academic Search
- Philipp Schaer, Timo Breuer, Leyla Jael Castro, Benjamin Wolff, Johann Schaible, Narges Tavakolpoursaleh:
Overview of LiLAS 2021 - Living Labs for Academic Search (Extended Overview). 1668-1699 - Jüri Keller, Leon Paul Mondrian Munz:
TEKMA at CLEF-2021: BM-25 based rankings for scientific publication retrieval and data set recommendation. 1700-1711 - Narges Tavakolpoursaleh, Johann Schaible:
PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences. 1712-1722 - Anh Huy Matthias Tran, Andreas Kruff, Joshua Thos, Constantin Krah, Michelle Reiners, Fabian Ax, Saskia Brech, Sascha Gharib, Verena Pawlas:
Ad-hoc Retrieval of scientific Documents on the LIVIVO Search Portal. 1723-1742
PAN: Lab on Digital Text Forensics and Stylometry
- Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Benno Stein, Martin Potthast:
Overview of the Cross-Domain Authorship Verification Task at PAN 2021. 1743-1759 - Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2021. 1760-1771 - Francisco Rangel, Gretel Liz De la Peña Sarracén, Berta Chulvi, Elisabetta Fersini, Paolo Rosso:
Profiling Hate Speech Spreaders on Twitter Task at PAN 2021. 1772-1789 - Jorge Alcañiz, José Andrés:
Profiling Hate Spreaders using word N-grams. 1790-1795 - Esam Alzahrani, Leon Jololian:
Profiling Hate Speech Spreaders by Classifying Micro Texts Using BERT Model. 1796-1800 - Àngel Andújar Carracedo, Raquel Jiménez Mondéjar:
Profiling Hate Speech Spreaders on Twitter. 1801-1807 - Talha Anwar:
Identify Hate Speech Spreaders on Twitter using Transformer Embeddings Features and AutoML Classifiers. 1808-1812 - Hamed Babaei Giglou, Taher Rahgooy, Jafar Razmara, Mostafa Rahgouy, Zahra Rahgooy:
Profiling Haters on Twitter using Statistical and Contextualized Embeddings. 1813-1821 - Christopher Bagdon:
Profiling Spreaders of Hate Speech with N-grams and RoBERTa. 1822-1828 - Fazlourrahman Balouchzahi, Hosahalli Lakshmaiah Shashirekha, Grigori Sidorov:
HSSD: Hate Speech Spreader Detection using N-grams and Voting Classifier. 1829-1836 - Ipek Baris Schlicht, Angel Felipe Magnossão de Paula:
Unified and Multilingual Author Profiling for Detecting Haters. 1837-1845 - Benedikt T. Bönninghoff, Robert M. Nickel, Dorothea Kolossa:
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification. 1846-1857 - Hiram Cabrera, Sabino Miranda-Jiménez, Eric Sadit Tellez:
INFOTEC-LaBD at PAN@CLEF21: Profiling Hate Speech Spreaders on Twitter through Emotion-based Representations. 1858-1870 - Tanise Ceron, Camilla Casula:
Exploiting Contextualized Word Representations to Profile Haters on Twitter. 1871-1882 - Riccardo Cervero:
Use of Lexical and Psycho-Emotional Information to Detect Hate Speech Spreaders on Twitter - Notebook for PAN at CLEF 2021. 1883-1891 - Kumar Gourav Das, Buddhadeb Garai, Srijan Das, Braja Gopal Patra:
Profiling Hate Speech Spreaders on Twitter. 1892-1898 - Robert Deibel, Denise Löfflad:
Style Change Detection on Real-World Data using an LSTM-powered Attribution Algorithm. 1899-1909 - David Dukic, Ana Sovic Krzic:
Detection of Hate Speech Spreaders with BERT. 1910-1919 - Daniel Embarcadero-Ruiz, Helena Gómez-Adorno, Ivan Reyes-Hernández, Alexis García, Alberto Embarcadero-Ruiz:
Graph-based Siamese Network for Authorship Verification. 1920-1930 - Daniel Yacob Espinosa, Grigori Sidorov:
Profiling Hate Speech Spreaders using Characters andWords N-grams. 1931-1936 - Evgeny Finogeev, Mariam Kaprielova, Artem V. Chashchin, Kirill Grashchenkov, George Gorbachev, Oleg Bakhteev:
Hate speech spreader detection using contextualized word embeddings. 1937-1944 - Romain Futrzynski:
Author classification as pre-training for pairwise authorship verification. 1945-1952 - Lucía Gómez-Zaragozá, Sara Hinojosa Pinto:
Profiling Hate Speech Spreaders on Twitter using stylistic features and word embeddings. 1953-1962 - Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling. 1963-1975 - Julian Höllig, Yeong Su Lee, Nina Seemann, Michaela Geierhos:
Effective Detection of Hate Speech Spreaders on Twitter. 1976-1986 - Catherine Ikae:
UniNE at PAN-CLEF 2021. 1987-1994 - Catherine Ikae:
UniNE at PAN-CLEF 2021: Authorship Verification. 1995-2003 - Darius Irani, Avyakta Wrat, Silvio Amir:
Early Detection of Online Hate Speech Spreaders with Learned User Representations. 2004-2010 - Rakshita Jain, Devanshi Goel, Prashant Sahu, Abhinav Kumar, Jyoti Prakash Singh:
Profiling Hate Speech Spreaders on Twitter. 2011-2024 - Eszter Katona, Jakab Buda, Flora Bolonyai:
Using N-grams and Statistical Features to Identify Hate Speech Spreaders on Twitter. 2025-2034 - Roberto Labadie, Daniel Castro-Castro, Reynier Ortega Bueno:
Deep Modeling of Latent Representations for Twitter Profiles on Hate Speech Spreaders Identification. Notebook for PAN at CLEF 2021. 2035-2046 - Mirko Lai, Marco Antonio Stranisci, Cristina Bosco, Rossana Damiano, Viviana Patti:
HaMor at the Profiling Hate Speech Spreaders on Twitter. 2047-2055 - Zhihao Liao, Yong Han, Leilei Kong, Zhuopeng Hong, Zijian Li, Guiyuan Liang, Zhenwei Mo, Zhixian Li, Zhongyuan Han:
Authorship Verification based on Lucene architecture. 2056-2059 - Carolina Martín del Campo Rodríguez, Grigori Sidorov, Ildar Z. Batyrshin:
Hate Speech Detection on Twitter. 2060-2063 - Antonio Menta Garuz, Ana García-Serrano:
Authorship Verification with neural networks via stylometric feature concatenation. 2064-2068 - Xiaogang Miao, Haoliang Qi, Zhijie Zhang, Guiyuan Cao, Ruilan Lin, Wenbin Lin:
Dual Neural Network Classification Based on BERT Feature Extraction for Authorship Verification. 2069-2072 - Sukanya Nath:
Style change detection using Siamese neural networks. 2073-2082 - Kwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig:
University of Regensburg @ PAN: Profiling Hate Speech Spreaders on Twitter. 2083-2089 - Pablo Pallarés, Carlos Herrero:
Local Classification with Recurrent Neural Network for Profiling Hate Speech Spreaders on Twitter. Notebook for PAN at CLEF 2021. 2090-2102 - Zeyang Peng, Leilei Kong, Zhijie Zhang, Zhongyuan Han, Xu Sun:
Encoding Text Information By Pre-trained Model For Authorship Verification. 2103-2107 - Marina Pinzhakova, Tom Yagel, Jakov Rabinovits:
Feature Similarity-based Regression Models for Authorship Verification. 2108-2117 - Edwin Puertas, Juan Carlos Martínez Santos:
Phonetic Detection for Hate Speech Spreaders on Twitter. 2118-2125 - Marco Siino, Elisa Di Nuovo, Ilenia Tinnirello, Marco La Cascia:
Detection of hate speech spreaders using convolutional neural networks. 2126-2136 - Rhia Singh, Janith Weerasinghe, Rachel Greenstadt:
Writing Style Change Detection on Multi-Author Documents. 2137-2145 - Eivind Strøm:
Multi-label Style Change Detection by Solving a Binary Classification Problem. 2146-2157 - Darko Tosev, Sonja Gievska:
Multi-level stacked ensemble with sparse and dense features for hate speech detection on Twitter. 2158-2168 - Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton:
Siamese Bert for Authorship Verification. 2169-2177 - Moshe Uzan, Yaakov HaCohen-Kerner:
Detecting Hate Speech Spreaders on Twitter using LSTM and BERT in English and Spanish. 2178-2185 - Cláudio Moisés Valiense de Andrade, Marcos André Gonçalves:
Profiling Hate Speech Spreaders on Twitter: Exploiting Textual Analysis of Tweets and Combination of Textual Representations. 2186-2192 - Inna Vogel, Meghana Meghana:
Profiling Hate Speech Spreaders on Twitter: SVM vs. Bi-LSTM. 2193-2200 - Janith Weerasinghe, Rhia Singh, Rachel Greenstadt:
Feature Vector Difference based Authorship Verification for Open-World Settings. 2201-2207 - Zhijie Zhang, Zhongyuan Han, Leilei Kong, Xiaogang Miao, Zeyang Peng, Jieming Zeng, Haojie Cao, Jinxi Zhang, Ziwei Xiao, Xuemei Peng:
Style Change Detection Based On Writing Style Similarity. 2208-2211
SimpleText: (Re)Telling right scientific stories to non-specialists via text simplification
- Liana Ermakova, Patrice Bellot, Pavel Braslavski, Jaap Kamps, Josiane Mothe, Diana Nurbakova, Irina Ovchinnikova, Eric SanJuan:
Overview of SimpleText CLEF 2021 Workshop and Pilot Tasks. 2212-2227 - Liana Ermakova, Josiane Mothe, Eric SanJuan:
Overview of the SimpleText Workshop at INFORSID-2021: Scientific Text Simplification and Popularization. 2228-2232 - Sílvia Araújo, Radia Hannachi:
Multimodal science communication: from documentary research to infographic via mind mapping. 2233-2236 - Malek Hajjem, Eric SanJuan:
LIA@SimpleText2021: automatic query extraction from press outlets for mining related readable passages in scientific literature. 2237-2241 - Irina Ovchinnikova, Diana Nurbakova, Liana Ermakova:
What Science-Related Topics Need to Be Popularized? A Comparative Study. 2242-2255 - Wei Xu:
Importance of Data and Controllability in Neural Text Simplification. 2256-2257
Touché: Argument Retrieval
- 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. 2258-2284 - Raunak Agarwal, Andrei Koniaev, Robin Schaefer:
Exploring Argument Retrieval for Controversial Questions Using Retrieve and Re-rank Pipelines. 2285-2291 - Christopher Akiki, Maik Fröbe, Matthias Hagen, Martin Potthast:
Learning to Rank Arguments with Feature Selection. 2292-2301 - Marco Alecci, Tommaso Baldo, Luca Martinelli, Elia Ziroldo:
Development of an IR System for Argument Search. 2302-2318 - Alaa Alhamzeh, Mohamed Bouhaouel, Elöd Egyed-Zsigmond, Jelena Mitrovic:
DistilBERT-based Argumentation Retrieval for Answering Comparative Questions. 2319-2330 - Andrea Cassetta, Alberto Piva, Enrico Vicentini:
Document retrieval task on controversial topic with Re-Ranking approach. 2331-2353 - Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and BERT. 2354-2365 - Lukas Gienapp:
Quality-aware Argument Retrieval with Topical Clustering. 2366-2373 - Tommaso Green, Luca Moroldo, Alberto Valente:
Exploring BERT Synonyms and Quality Prediction for Argument Retrieval. 2374-2388 - Daniel Helmrich, Denis Streitmatter, Fionn Fuchs, Maximilian Heykeroth:
Touché Task 2: Comparative Argument Retrieval A document-based search engine for answering comparative questions. 2389-2402 - Thi Kim Hanh Luu, Jan-Niklas Weder:
Argument Retrieval for Comparative Questions based on independent features. 2403-2416 - Alina Mailach, Denise Arnold, Stefan Eysoldt, Simon Kleine:
Exploring Document Expansion for Argument Retrieval. 2417-2422 - Edoardo Raimondi, Marco Alessio, Nicola Levorato:
A Search Engine System for Touché Argument Retrieval task to answer Controversial Questions. 2423-2440 - Kevin Ros, Carl Edwards, Heng Ji, Chengxiang Zhai:
Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial Questions. 2441-2454 - Ekaterina Shirshakova, Ahmad Wattar:
Thor at Touché 2021: Argument Retrieval for Comparative Questions. 2455-2462
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