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ORCIDCLEF 2022: Bologna, Italy - Working Notes
- Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Martin Potthast:
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022. CEUR Workshop Proceedings 3180, CEUR-WS.org 2022 - Preface.
ARQMath: Answer Retrieval for Questions on Math
- Behrooz Mansouri, Vít Novotný, Anurag Agarwal, Douglas W. Oard, Richard Zanibbi:
Overview of ARQMath-3 (2022): Third CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version). 1-27 - Martin Geletka
, Vojtech Kalivoda, Michal Stefánik, Marek Toma, Petr Sojka:
Diverse Semantics Representation is King. 28-39 - Andrew Kane, Yin Ki Ng, Frank Wm. Tompa:
Dowsing for Answers to Math Questions: Doing Better with Less. 40-62 - Matt Langsenkamp, Behrooz Mansouri, Richard Zanibbi:
Expanding Spatial Regions and Incorporating IDF for PHOC-Based Math Formula Retrieval at ARQMath-3. 63-82 - Behrooz Mansouri, Douglas W. Oard, Richard Zanibbi:
DPRL Systems in the CLEF 2022 ARQMath Lab: Introducing MathAMR for Math-Aware Search. 83-103 - Vít Novotný, Michal Stefánik:
Combining Sparse and Dense Information Retrieval. 104-118 - Anja Reusch, Maik Thiele, Wolfgang Lehner:
Transformer-Encoder and Decoder Models for Questions on Math. 119-137 - Sandip Sarkar, Dipankar Das, Partha Pakray, David Pinto:
Formula Retrieval Using Structural Similarity. 138-146 - Wei Zhong, Yuqing Xie, Jimmy Lin:
Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, CLEF. 147-170
BioASQ: Large-scale biomedical semantic indexing and question answering
- Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara, Georgios Paliouras:
Overview of BioASQ Tasks 10a, 10b and Synergy10 in CLEF2022. 171-178 - Antonio Miranda-Escalada, Luis Gascó, Salvador Lima-López, Eulàlia Farré-Maduell, Darryl Estrada, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger:
Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual resources. 179-203 - Tiago Almeida, André Pinho, Rodrigo Pereira, Sérgio Matos:
Deep Learning solutions based on fixed contextualized embeddings from PubMedBERT on BioASQ 10b and traditional IR in Synergy. 204-221 - Sultan Alrowili, K. Vijay-Shanker:
Exploring Biomedical Question Answering with BioM-Transformers At BioASQ10B challenge: Findings and Techniques. 222-234 - Matic Bernik, Robert Tovornik, Borut Fabjan, Luis Marco-Ruiz:
DIAGÑOZA: a Natural Language Processing Tool for Automatic Annotation of Clinical Free Text with SNOMED-CT. 235-243 - Florian Borchert, Matthieu-P. Schapranow:
HPI-DHC @ BioASQ DisTEMIST: Spanish Biomedical Entity Linking with Pre-trained Transformers and Cross-lingual Candidate Retrieval. 244-258 - José M. Castaño, Laura Gambarte, Carlos Otero, Daniel R. Luna:
A Simple Terminology-Based Approach to Clinical Entity Recognition. 259-264 - Mariia Chizhikova, Jaime Collado-Montañez, Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions. 265-273 - Zakaria Kaddari, Toumi Bouchentouf:
LaRSA at BioASQ 10b: classical and novel approaches for biomedical document retrieval and question answering. 274-280 - Jing Lu, Ji Ma, Keith B. Hall:
Zero-shot Hybrid Retrieval and Reranking Models for Biomedical Literature. 281-290 - Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. 291-304 - Diego Mollá:
Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering. 305-314 - Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì:
Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST. 315-324 - André Neves:
Unicage at DISTEMIST - Named Entity Recognition system using only Bash and Unicage tools. 325-334 - Martin Reczko:
ELECTROLBERT: Combining Replaced Token Detection and Sentence Order Prediction. 335-340 - Javier Reyes-Aguillón, Rodrigo del Moral, Orlando Ramos Flores, Helena Gómez-Adorno, Gemma Bel-Enguix:
Clinical Named Entity Recognition and Linking using BERT in Combination with Spanish Medical Embeddings. 341-349 - Antonio Tamayo, Diego A. Burgos, Alexander F. Gelbukh:
mBERT and Simple Post-Processing: A Baseline for Disease Mention Detection in Spanish. 350-356 - Hao-Hsuan Ting, Yu Zhang, Jen-Chieh Han, Richard Tzong-Han Tsai:
NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B. 357-367
CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
- Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, Alex Nikolov, Yavuz Selim Kartal:
Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets. 368-392 - Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Shaden Shaar, Hamdy Mubarak, Nikolay Babulkov:
Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims. 393-403 - Juliane Köhler, Gautam Kishore Shahi, Julia Maria Struß, Michael Wiegand, Melanie Siegel, Thomas Mandl, Mina Schütz:
Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection. 404-421 - Stefano Agresti, S. Amin Hashemian, Mark J. Carman:
PoliMi-FlatEarthers at CheckThat!-2022: GPT-3 applied to claim detection. 422-427 - Saud Althabiti, Mohammad Ammar Alsalka, Eric Atwell:
SCUoL at CheckThat!-2022: Fake News Detection Using Transformer-Based Models. 428-433 - Muhammad Arif, Atnafu Lambebo Tonja, Iqra Ameer, Olga Kolesnikova, Alexander F. Gelbukh, Grigori Sidorov, Abdul Gafar Manuel Meque:
CIC at CheckThat!-2022: Multi-class and Cross-lingual Fake News Detection. 434-443 - Olivier Blanc, Albert Pritzkau, Ulrich Schade, Michaela Geierhos:
CODE at CheckThat!-2022: Multi-class fake news detection of news articles with BERT. 444-455 - Nicu Buliga, Madalina Raschip:
Zorros at CheckThat!-2022: Ensemble Model for Identifying Relevant Claims in Tweets. 456-467 - Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. 468-477 - Ahmet Bahadir Eyuboglu, Mustafa Bora Arslan, Ekrem Sonmezer, Mücahid Kutlu:
TOBB ETU at CheckThat!-2022: Detecting Attention-Worthy and Harmful Tweets and Check-Worthy Claims. 478-491 - Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims. 492-499 - Raphael Antonius Frick, Inna Vogel, Isabella Nunes Grieser:
Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets. 500-510 - Alica Hövelmeyer, Katarina Boland, Stefan Dietze:
SimBa at CheckThat!-2022: Lexical and Semantic Similarity Based Detection of Verified Claims in an Unsupervised and Supervised Way. 511-531 - Zehra Melce Hüsünbeyi, Oliver Deck, Tatjana Scheffler:
RUB-DFL at CheckThat!-2022: Transformer Models and Linguistic Features for Identifying Relevant Claims. 532-545 - Sanjana Kavatagi, Rashmi Rachh, Madhura Mulimani:
VTU_BGM at Check That!-2022: An Autoregressive Encoding Model for Detecting Check-worthy Claims. 546-553 - Sujit Kumar, Gaurav Kumar, Sanasam Ranbir Singh:
Text_Minor at CheckThat!-2022: Fake News Article Detection Using RoBERT. 554-563 - David La Barbera, Kevin Roitero, Joel Mackenzie, Damiano Spina, Gianluca Demartini, Stefano Mizzaro:
BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval. 564-572 - Francesco Lomonaco, Gregor Donabauer, Marco Siino:
COURAGE at CheckThat!-2022: Harmful Tweet Detection using Graph Neural Networks and ELECTRA. 573-583 - Andy Ludwig, Jenny Felser, Jian Xi, Dirk Labudde, Michael Spranger:
FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification. 584-594 - Juan R. Martinez-Rico, Juan Martínez-Romo, Lourdes Araujo:
NLPIR-UNED at CheckThat!-2022: Ensemble of Classifiers for Fake News Detection. 595-605 - Kadir Bulut Özler, Riah Coulter:
CoulterOzler at CheckThat!-2022: Detecting fake news with transformers. 606-615 - Claudia Porto Capetillo, Diego Lecuona-Gómez, Helena Gómez-Adorno, Ignacio Arroyo-Fernández, Jair Neri-Chávez:
HBDCI at CheckThat!-2022: Fake News Detection Using a Combination of stylometric Features and Deep Learning. 616-628 - Albert Pritzkau, Olivier Blanc, Michaela Geierhos, Ulrich Schade:
NLytics at CheckThat!-2022: Hierarchical multi-class fake news detection of news articles exploiting the topic structure. 629-648 - Hariharan RamakrishnaIyer LekshmiAmmal, Anand Kumar Madasamy:
NITK-IT_NLP at CheckThat!-2022: Window based approach for Fake News Detection using transformers. 649-655 - Aleksandar Savchev:
AI Rational at CheckThat!-2022: Using transformer models for tweet classification. 656-659 - Mina Schütz, Jaqueline Böck, Medina Andresel, Armin Kirchknopf, Daria Liakhovets, Djordje Slijepcevic, Alexander Schindler:
AIT_FHSTP at CheckThat!-2022: Cross-Lingual Fake News Detection with a Large Pre-Trained Transformer. 660-670 - Michael Shliselberg, Shiri Dori-Hacohen:
RIET Lab at CheckThat!-2022: Improving Decoder based Re-ranking for Claim Matching. 671-678 - Manan Suri, Prajeet Katari, Saumay Dudeja:
Asatya at CheckThat!-2022: Multimodal BERT for Identifying Claims in Tweets. 679-693 - Bilel Taboubi, Mohamed Aziz Ben Nessir, Hatem Haddad:
iCompass at CLEF2022 CheckThat! Lab: Combining Deep Language Models for Fake News Detection. 694-701 - Bilel Taboubi, Mohamed Aziz Ben Nessir, Hatem Haddad:
iCompass at CheckThat!-2022: ARBERT and AraBERT for Arabic Checkworthy Tweet Identification. 702-709 - Prerona Tarannum, Md. Arid Hasan, Firoj Alam, Sheak Rashed Haider Noori:
Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Text. 710-721 - Cagri Toraman, Oguzhan Ozcelik, Furkan Sahinuç, Umitcan Sahin:
ARC-NLP at CheckThat!-2022: Contradiction for Harmful Tweet Detection. 722-739 - Hoai Nam Tran, Udo Kruschwitz:
ur-iw-hnt at CheckThat!-2022: Cross-lingual Text Summarization for Fake News Detection. 740-748 - Ciprian-Octavian Truica, Elena Simona Apostol, Adrian Paschke:
Awakened at CheckThat!-2022: Fake News Detection using BiLSTM and Sentence Transformer. 749-757
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, Kojiro Machi, Masaharu Yoshioka, Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae, Darshini Mahendran, Christina Tang, Bridget T. McInnes, Timothy Baldwin, Karin Verspoor:
Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. 758-781 - Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae:
Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model. 782-796 - Kojiro Machi, Masaharu Yoshioka:
HUKB at ChEMU 2022 Task 1: Expression-Level Information Extraction. 797-807 - Darshini Mahendran, Christina Tang, Bridget T. McInnes:
NLPatVCU: CLEF 2022 ChEMU Shared Task System Description. 808-820
eRisk: Early risk prediction on the Internet
- Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). 821-850 - Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu, Paolo Rosso:
An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder. 851-863 - Elena Campillo Ageitos, Juan Martínez-Romo, Lourdes Araujo:
UNED-MED at eRisk 2022: depression detection with TF-IDF, linguistic features and Embeddings. 864-874 - Sreegeethi Devaguptam, Thanmai Kogatam, Nishka Kotian, Anand Kumar M:
Early detection of depression using BERT and DeBERTa. 875-882 - Tudor-Andrei Dumitrascu:
CLEF eRisk 2022: Detecting Early Signs of Pathological Gambling using ML and DL models with dataset chunking. 883-893 - Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors. 894-904 - Rodrigo Ferreira, Alina Trifan, José Luís Oliveira:
Early risk detection of mental illnesses using various types of textual features. 905-920 - Raluca-Andreea Gînga, Andrei-Alexandru Manea, Bogdan-Mihai Dobre:
Sunday Rockers at eRisk 2022: Early Detection of Depression. 921-935 - Seyed Habib Hosseini Saravani, Lancelot Normand, Diego Maupomé, Fanny Rancourt, Thomas Soulas, Sara Besharati, Anaelle Normand, Sébastien Mosser, Marie-Jean Meurs:
Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models. 936-946 - Juan Martín Loyola, Horacio Thompson, Sergio Burdisso, Marcelo Errecalde:
UNSL at eRisk 2022: Decision policies with history for early classification. 947-960 - Alba María Mármol-Romero, Salud María Jiménez-Zafra, Flor Miriam Plaza del Arco, M. Dolores Molina-González, María Teresa Martín Valdivia, Arturo Montejo-Ráez:
SINAI at eRisk@CLEF 2022: Approaching Early Detection of Gambling and Eating Disorders with Natural Language Processing. 961-971 - Harshvardhan Srivastava, Lijin N. S, Sruthi S, Tanmay Basu:
NLP-IISERB@eRisk2022: Exploring the Potential of Bag of Words, Document Embeddings and Transformer Based Framework for Early Prediction of Eating Disorder, Depression and Pathological Gambling Over Social Media. 972-986 - Samuel Stalder, Erman Zankov:
ZHAW at eRisk 2022: Predicting Signs of Pathological Gambling - GloVe for Snowy Days. 987-994 - Andreas Säuberli, Sooyeon Cho, Laura Stahlhut:
LauSAn at eRisk 2022: Simply and Effectively Optimizing Text Classification for Early Detection. 995-1004 - Ilija Tavchioski, Blaz Skrlj, Senja Pollak, Boshko Koloski:
Early detection of depression with linear models using hand-crafted and contextual features. 1005-1013 - Shih-Hung Wu, Zhao-Jun Qiu:
CYUT at eRisk 2022: Early Detection of Depression Based-on Concatenating Representation of Multiple Hidden Layers of RoBERTa Model. 1014-1025 - Xin Kang, Rongyu Dou, Haitao Yu:
TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression. 1026-1037
HIPE: Named Entity Recognition and Linking in Multilingual Historical Documents
- Maud Ehrmann, Matteo Romanello, Sven Najem-Meyer, Antoine Doucet, Simon Clematide:
Extended Overview of HIPE-2022: Named Entity Recognition and Linking in Multilingual Historical Documents. 1038-1063 - Emanuela Boros, Carlos-Emiliano González-Gallardo, Edward Giamphy, Ahmed Hamdi, José G. Moreno, Antoine Doucet:
Knowledge-based Contexts for Historical Named Entity Recognition & Linking. 1064-1078 - Kai Labusch, Clemens Neudecker:
Entity Linking in Multilingual Newspapers and Classical Commentaries with BERT. 1079-1089 - Anja Ryser, Quynh-Anh Nguyen, Niclas Bodenmann, Shih-Yun Chen:
Exploring Transformers for Multilingual Historical Named Entity Recognition. 1090-1108 - Stefan Schweter, Luisa März, Katharina Schmid, Erion Çano:
hmBERT: Historical Multilingual Language Models for Named Entity Recognition. 1109-1129
iDPP: Intelligent Disease Progression Prediction
- Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. 1130-1210 - Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita Torres Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos:
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. 1211-1227 - Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli:
Evaluation of XAI on ALS 6-months mortality prediction. 1228-1235 - Aidan Mannion, Thierry Chevalier, Didier Schwab, Lorraine Goeuriot:
Predicting the Risk of & Time to Impairment for ALS patients. 1236-1255 - Susana Nunes, Rita Torres Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos, Catia Pesquita:
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. 1256-1268 - Corrado Pancotti, Giovanni Birolo, Tiziana Sanavia, Cesare Rollo, Piero Fariselli:
Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis. 1269-1276 - Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo:
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. 1277-1293
ImageCLEF: Multimedia Retrieval Challenge
- Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2022 - Caption Prediction and Concept Detection. 1294-1307 - Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2022 - CT-based Cavern Detection and Report. 1308-1317 - Jon Chamberlain, Alba García Seco de Herrera, Antonio Campello, Adrian F. Clark:
ImageCLEFcoral task: Coral reef image annotation and localisation. 1318-1328 - Adrian Popescu, Jérôme Deshayes-Chossart, Hugo Schindler, Bogdan Ionescu:
Overview of the ImageCLEF 2022 Aware Task. 1329-1338 - Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Bogdan Ionescu:
Overview of ImageCLEFfusion 2022 Task - Ensembling Methods for Media Interestingness Prediction and Result Diversification. 1339-1346 - Tetsuya Asakawa, Riku Tsuneda, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
Caverns Detection and Caverns Report in Tuberculosis: lesion detection based on image using YOLO-V3 and median based multi-label multi-class classification using SRGAN. 1347-1354 - Foivos Charalampakos, Giorgos Zachariadis, John Pavlopoulos, Vasilis Karatzas, Christoforos Trakas, Ion Androutsopoulos:
AUEB NLP Group at ImageCLEFmed Caption 2022. 1355-1373 - Mihai Gabriel Constantin, Liviu-Daniel Stefan, Mihai Dogariu, Bogdan Ionescu:
AIMultimediaLab at ImageCLEFfusion 2022: DeepFusion Methods for Ensembling in Diverse Scenarios. 1374-1380 - Francesco Dalla Serra, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil:
CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning. 1381-1390 - Amilcare Gentili:
ImageCLEFmedical Caption Task, Concept Detection, Finding Duplicates, SDVA-UCSD Approach. 1391-1395 - Rohit Raj Gunti, Abebe Rorissa:
Dual Convolutional Neural Networks and Regression model based Coral Reef Annotation and Localization. 1396-1412 - Malihe Hajihosseini, Yasaman Lotfollahi, Melika Nobakhtian, Mohammad Mahdi Javid, Fateme Omidi, Sauleh Eetemadi:
IUST_NLPLAB at ImageCLEFmedical Caption Tasks 2022. 1413-1434 - Lekshmi Kalinathan, Prabavathy Balasundaram, Yogesh Munees E, Siddharth S, Shrijith Mr, Shrikeshavinee Ramachandran, Shruti Sriram, Ramdhanush Venkatakrishnan:
A Fusion Approach for Web Search Result Diversification using Machine Learning Algorithms. 1435-1442 - Felix Kerlin, Kirill Bogomasov, Stefan Conrad:
Monitoring Coral Reefs Using Faster R-CNN. 1443-1454 - Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling:
CSIRO at ImageCLEFmedical Caption 2022. 1455-1473 - Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili:
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. 1474-1479 - Seyyed Ali Mir Ghayyomnia, Kai de Gast, Mark J. Carman:
Polimi-ImageClef Group at ImageCLEFmedical Caption task 2022. 1480-1486 - Georgios Moschovis, Erik Fransén:
NeuralDynamicsLab at ImageCLEFmedical 2022. 1487-1504 - Sheerin Sitara Noor Mohamed, Kavitha Srinivasan:
SSN MLRG at ImageCLEFmedical Caption 2022: Medical Concept Detection and Caption Prediction using Transfer Learning and Transformer based Learning Approaches. 1505-1515 - Aarthi Nunna, Aravind Kannan Rathinasapabathi, Chirag Bheemaiah P. K, Kavitha Srinivasan:
SSN CSE at ImageCLEFaware 2022: Contextual Job Search Feedback Score based on Photographic Profile using a Random Forest Regression Technique. 1516-1524 - Md Mahmudur Rahman, Oyebisi Layode:
CS_Morgan at ImageCLEFmedical 2022 Caption Task: Deep Learning Based Multi-Label Classification and Transformers for Concept Detection & Caption Prediction. 1525-1534 - Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves:
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. 1535-1553 - Dheepak S, Kavitha Srinivasan, Raghuraman Gopalsamy:
SSN MLRG at ImageCLEF 2022 Tuberculosis: Caverns Report using 3D CNN and Uniformizing Techniques. 1554-1561 - Maria Shoukat, Khubaib Ahmad, Naina Said, Nasir Ahmad, Mohammed Hasanuzzaman, Kashif Ahmad:
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness. 1562-1571 - Sushaanth Srinivasan, Sharvesh Shankar, Nitheesh Kumar N, Sabarivasan Velayutham, Thejas N, Vikash Anand N, Lekshmi Kalinathan, Prabavathy Balasundaram:
Automated Classification of Lung Tuberculosis Using 3D Deep Convolutional Neural Networks. 1572-1579 - Shreya Sriram, Madhuri Mahalingam, Sarah Aymen Naseer, Shajith Hameed, Rahul Rajagopalan, Sai Shashaank R, Lekshmi Kalinathan, Prabavathy Balasundaram:
Ensembled Approach for Web Search Result Diversification Using Neural Networks. 1580-1589 - Aarthi Suresh Kumar, Anirudh Anand, Jeet Golecha, Karthik Raja Anandan, Bhuvana Jayaraman, Mirnalinee T. T:
Multi Regressor Based User Rating Predictor for ImageCLEF Aware 2022. 1590-1595 - Riku Tsuneda, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
Kdelab at ImageCLEFmedical 2022 Caption Prediction Task. 1596-1607 - Riku Tsuneda, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Masaki Aono:
Kdelab at ImageCLEFmedical 2022: Medical Concept Detection with Image Retrieval and Code Ensemble. 1608-1618 - Xuwen Wang, Jiao Li:
ImageSem Group at ImageCLEFmedical Caption 2022 task: Generating Medical Image Descriptions based on Vision-Language Pre-training. 1619-1625 - Bowen Xin, Hang Min, Ashley G. Gillman, Bevan Koopman, Jason Dowling, Aaron Nicolson:
CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach. 1626-1640
JokeR: Automatic Wordplay and Humour Translation
- Liana Ermakova, Fabio Regattin, Tristan Miller, Anne-Gwenn Bosser, Sílvia Araújo, Claudine Borg, Gaëlle Le Corre, Julien Boccou, Albin Digue, Aurianne Damoy, Paul Campen, Orlane Puchalski:
Overview of the CLEF 2022 JOKER Task 1: Classify and Explain Instances of Wordplay. 1641-1665 - Liana Ermakova, Tristan Miller, Julien Boccou, Albin Digue, Aurianne Damoy, Paul Campen:
Overview of the CLEF 2022 JOKER Task 2: Translate Wordplay in Named Entities. 1666-1680 - Liana Ermakova, Fabio Regattin, Tristan Miller, Anne-Gwenn Bosser, Claudine Borg, Benoît Jeanjean, Élise Mathurin, Gaëlle Le Corre, Radia Hannachi, Sílvia Araújo, Julien Boccou, Albin Digue, Aurianne Damoy:
Overview of the CLEF 2022 JOKER Task 3: Pun Translation from English into French. 1681-1700 - Hakima Arroubat:
Wordplay location and interpretation with deep learning methods. 1701-1705 - Julien Boccou:
Using 'punning schemes' as a template for translating wordplay. 1706-1718 - Anne-Gwenn Bosser, Liana Ermakova, Florence Dupin de Saint-Cyr, Pierre De Loor, Victor Charpennay, Nicolas Pépin-Hermann, Benoît Alcaraz, Jean-Victor Autran, Alexandre Devillers, Juliette Grosset, Aymeric Hénard, Florian Marchal-Bornert:
Poetic or Humorous Text Generation: Jam event at PFIA2022. 1719-1726 - Paul Campen, Albin Digue:
A history of classification and JokeR's reach. 1727-1734 - Aurianne Damoy:
Translation strategies: adaptation and equivalence - Joker contest. 1735-1740 - Charlotte Daniel, Noémie Vandenborre:
Translating, transcribing, transmitting and transcending a pun: why playing with words is far from being punless/pointless. 1741-1749 - Michel Delarche:
A translation-oriented categorisation of wordplays. 1750-1755 - Farhan Dhanani, Muhammad Rafi, Muhammad Atif Tahir:
FAST-MT Participation for the JOKER CLEF-2022 Automatic Pun and Humour Translation Tasks. 1756-1773 - Albin Digue, Paul Campen:
Automatic translation of wordplay. 1774-1786 - Aygyul Epimakhova:
Using machine learning to classify and interpret wordplay. 1787-1792 - Loïc Glemarec, Anne-Gwenn Bosser, Julien Boccou, Liana Ermakova:
Humorous Wordplay Generation in French. 1793-1806 - Loïc Glemarec:
Use of SimpleT5 for the CLEF workshop JokeR: Automatic Pun and Humor Translation. 1807-1817 - Leopoldo Jesús Gutiérrez Galeano:
LJGG @ CLEF JOKER Task 3: An improved solution joining with dataset from task 1. 1818-1827 - Victor Manuel Palma-Preciado, Grigori Sidorov, Carolina Palma Preciado:
Assessing Wordplay-Pun classification from JOKER dataset with pretrained BERT humorous models. 1828-1833 - Fabio Regattin:
Automatic Translation and Wordplay: An Amateur's (Playful) Thoughts. 1834-1841 - Yuliya Samofalova, Andrea Catellani, Louise-Amélie Cougnon:
Greenpeace Memes for Communicating Climate Change. 1842-1845 - Léa Talec-Bernard:
How good can an automatic translation of Pokémon names be? 1846-1848
LeQua: Learning to Quantify
- Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. 1849-1868 - Juan José del Coz:
UniOviedo(Team2) at LeQua 2022: Comparison of traditional quantifiers and a new method based on Energy Distance. 1869-1874 - Giorgio Maria Di Nunzio:
UniPadova @ LeQua 2022: A Preliminary Study of a BM25 Approach to Quantification. 1875-1880 - Pablo González:
UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning. 1881-1888 - Kevin Kloos, Quinten A. Meertens, Julian D. Karch:
UniLeiden at LeQua 2022: The first step in understanding the behaviour of the median sweep quantifier using continuous sweep. 1889-1904 - Teodora Popordanoska, Matthew B. Blaschko:
KULeuven at LeQua 2022: Model Calibration in Quantification Learning. 1905-1910 - Martin Senz, Mirko Bunse:
DortmundAI at LeQua 2022: Regularized SLD. 1911-1915
LifeCLEF: Biodiversity identification and prediction Challenges
- Hervé Goëau, Pierre Bonnet, Alexis Joly:
Overview of PlantCLEF 2022: Image-based plant identification at global scale. 1916-1928 - Stefan Kahl, Amanda Navine, Tom Denton, Holger Klinck, Patrick Hart, Hervé Glotin, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, Alexis Joly:
Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings. 1929-1939 - Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data. 1940-1956 - Lukás Picek, Marek Hrúz, Andrew M. Durso, Isabelle Bolon:
Overview of SnakeCLEF 2022: Automated Snake Species Identification on a Global Scale. 1957-1969 - Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen:
Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem. 1970-1981 - Louise Bloch, Jan-Frederick Böckmann, Benjamin Bracke, Christoph M. Friedrich:
Combination of Object Detection, Geospatial Data, and Feature Concatenation for Snake Species Identification. 1982-2013 - Jose Carranza-Rojas, Ruben Gonzalez-Villanueva, Kelvin Jimenez-Morales, Kevin Quesada-Montero, Esteban A. Esquivel-Barboza, Nicole Carvajal-Barboza:
Extreme Automatic Plant Identification Under Constrained Resources. 2014-2024 - Sophia Chulif, Sue Han Lee, Yang Loong Chang:
A Global-Scale Plant Identification using Deep Learning: NEUON Submission to PlantCLEF 2022. 2025-2035 - Marcos V. Conde, Ui-Jin Choi:
Few-shot Long-Tailed Bird Audio Recognition. 2036-2046 - Karthik Desingu, Anirudh Bhaskar, Palaniappan Mirunalini, Eeswara Anvesh Chodisetty, Haricharan Bharathi:
Classification of Fungi Species: A Deep Learning Based Image Feature Extraction and Gradient Boosting Ensemble Approach. 2047-2062 - Fan Gao, Zining Chen, Weiqiu Wang, Yinan Song, Fei Su, Zhicheng Zhao, Hong Chen:
Does Closed-Set Training Generalize to Open-Set Recognition? 2063-2077 - Juntao Jiang:
Plant and Animal Species Prediction at Certain Locations with Convolutional Neural Networks. 2078-2086 - Pravinkrishnan K, Naren Sivakumar, Ainsely Jebaraj, C. Padma Pooja, Supraja Sridhar, Prabavathy Balasundaram, Lekshmi Kalinathan:
Classification of Plant Species Using AlexNet Architecture. 2087-2093 - Karun Anantharaman, Krishnakumar Divyasri, Sella Veluswami Jansi Rani:
Plant Species Identification using Probability Tree Approach of Deep Learning Models. 2094-2102 - Benjamin Kellenberger, Devis Tuia:
Block Label Swap for Species Distribution Modelling. 2103-2114 - Sidhart Krishnan, Priya Khandelwal, Rhythm Garg:
Bird Species Classification: One Step at a Time. 2115-2122 - César Leblanc, Alexis Joly, Titouan Lorieul, Maximilien Servajean, Pierre Bonnet:
Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks. 2123-2150 - Eduard Martynov, Yuuichiroh Uematsu:
Dealing with Class Imbalance in Bird Sound Classification. 2151-2158 - Anthony Miyaguchi, Jiangyue Yu, Bryan Cheungvivatpant, Dakota Dudley, Aniketh Swain:
Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022. 2159-2167 - Jack Min Ong, Sze Jue Yang, Kam Woh Ng, Chee Seng Chan:
Image-based plant identification with taxonomy aware architecture. 2168-2174 - Palaniappan Mirunalini, Karthik Desingu, Haricharan Bharathi, Eeswara Anvesh Chodisetty, Anirudh Bhaskar:
Deep Learning and Gradient Boosting Ensembles for Classification of Snake Species. 2175-2188 - Arunodhayan Sampath Kumar, Danny Kowerko:
TUC Media Computing at BirdCLEF 2022: Strategies in identifying bird sounds in a complex acoustic environments. 2189-2198 - Yang Shen, Xuhao Sun, Zijian Zhu:
When Large Kernel Meets Vision Transformer: A Solution for SnakeCLEF & FungiCLEF. 2199-2211 - Mélisande Teng, Sal Elkafrawy:
Convolution Neural Network Fine-tuning for Plant and Animal Species Distribution Modelling. 2212-2218 - Stefan Wolf, Jürgen Beyerer:
Transformer-based Fine-Grained Fungi Classification in an Open-Set Scenario. 2219-2226 - Zihua Xiong, Yumeng Ruan, Yifei Hu, Yue Zhang, Yuke Zhu, Sheng Guo, Bing Han:
1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition. 2227-2237 - Mingle Xu, Sook Yoon, Yongchae Jeong, Jaesu Lee, Dong Sun Park:
Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification. 2238-2252 - Lingfeng Yang, Xiang Li, Renjie Song, Kexin Zhu, Gang Li:
Solution for SnakeCLEF 2022 by Tackling Long-tailed Categorization. 2253-2261 - Jun Yu, Hao Chang, Zhongpeng Cai, Guochen Xie, Liwen Zhang, Keda Lu, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang:
Efficient Model Integration for Snake Classification. 2262-2274 - Jun Yu, Hao Chang, Keda Lu, Guochen Xie, Liwen Zhang, Zhongpeng Cai, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang:
Bag of Tricks and a Strong Baseline for FGVC. 2275-2290 - Cheng Zou, Furong Xu, Meng Wang, Wen Li, Yuan Cheng:
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022. 2291-2300
PAN Lab on Digital Text Forensics and Stylometry
- Efstathios Stamatatos, Mike Kestemont, Krzysztof Kredens, Piotr Pezik, Annina Heini, Janek Bevendorff, Benno Stein, Martin Potthast:
Overview of the Authorship Verification Task at PAN 2022. 2301-2313 - Reynier Ortega Bueno, Berta Chulvi, Francisco Rangel, Paolo Rosso, Elisabetta Fersini:
Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO). Overview for PAN at CLEF 2022. 2314-2343 - Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Style Change Detection Task at PAN 2022. 2344-2356 - Shams Alshamasi, Mohamed Menai:
Ensemble-Based Clustering for Writing Style Change Detection in Multi-Authored Textual Documents. 2357-2374 - Faisal Alvi, Hasan Algafri, Naif Alqahtani:
Style Change Detection using Discourse Markers. 2375-2380 - María Fernanda Artigas Herold, Daniel Castro Castro:
User profiling: voting scheme. 2381-2390 - Hamed Babaei Giglou, Mostafa Rahgouy, Ali Rahmati, Taher Rahgooy, Cheryl D. Seals:
Profiling Irony and Stereotype Spreaders with Encoding Dependency Information using Graph Convolutional Network. 2391-2401 - Sabur Butt, Fazlourrahman Balouchzahi, Grigori Sidorov, Alexander F. Gelbukh:
CIC@PAN: Simplifying Irony Profiling using Twitter Data. 2402-2410 - Haojie Cao, Zhongyuan Han, Zhenwei Mo, Zengyao Li, Ziwei Xiao, Zijian Li, Leilei Kong:
A Multi-Model Voting Ensemble Classifier based on BERT for Profiling Irony and Stereotype Spreaders on Twitter. 2411-2415 - Melesio Crespo-Sanchez, Helena Gómez-Adorno, Ivan López-Arévalo, Edwin Aldana-Bobadilla, Karla Salas-Jimenez, Jorge Cortes-Lopez:
A content spectral-based analysis for authorship verification. 2416-2425 - Daniele Croce, Domenico Garlisi, Marco Siino:
An SVM Ensemble Approach to Detect Irony and Stereotype Spreaders on Twitter. 2426-2432 - Amit Das, Nilanjana Raychawdhary, Gerry V. Dozier, Cheryl D. Seals:
Irony and Stereotype Spreading Author Profiling on Twitter using Machine Learning: A BERT-TFIDF based Approach. 2433-2444 - José Antonio García-Díaz, Miguel Ángel Rodríguez-García, Francisco García-Sánchez, Rafael Valencia-García:
UMUTeam at IROSTEREO: Profiling Irony and Stereotype spreaders on Twitter combining Linguistic Features with Transformers. 2445-2454 - Lukas Graner, Paul Moritz Ranly:
An Unorthodox Approach for Style Change Detection. 2455-2466 - Claudia Gómez, Daniel Parres:
BERT Sentence Embeddings in different Machine Learning and Deep Learning Models for Author Profiling applied to Irony and Stereotype Spreaders on Twitter. 2467-2474 - Leila Hazrati, Alireza Sokhandan, Leili Farzinvash:
Profiling Irony Speech Spreaders on Social Networks Using Deep Cleaning and BERT. 2475-2481 - Delia Irazú Hernández Farías, Manuel Montes-y-Gómez:
Exploiting Affective-based Information for Profiling Ironic Users on Twitter. 2482-2490 - Mingjie Huang, Leilei Kong, Zeyang Peng, Yihui Ye, Zengyao Li, Xinyin Jiang, Zhongyuan Han:
Authorship verification Based On Fully Interacted Text Segments. 2491-2495 - Xinting Huang:
Profiling Irony and Stereotype Spreaders with Language Models and Bayes' Theorem. 2496-2505 - Catherine Ikae:
UniNE at PAN-CLEF 2022: Profiling Irony and Stereotype Spreaders on Twitter. 2506-2514 - Hyewon Jang:
Lexicon-Based Profiling of Irony and Stereotype Spreaders. 2515-2525 - Xinyin Jiang, Haoliang Qi, Zhijie Zhang, Mingjie Huang:
Style Change Detection: Method Based On Pre-trained Model And Similarity Recognition. 2526-2531 - Stefanos Konstantinou, Jinqiao Li, Angelos Zinonos:
Different Encoding Approaches for Authorship Verification. 2532-2540 - Roberto Labadie Tamayo, Daniel Castro-Castro:
Graph-Based Profile Condensation for Users Profiling. 2541-2553 - Qidi Lao, Li Ma, Wenyin Yang, Zexian Yang, Dong Yuan, Zhenlin Tan, Langzhang Liang:
Style Change Detection Based On Bert And Conv1d. 2554-2559 - Ziwang Lei, Haoliang Qi, Han Y, Zeyang Peng, Mingjie Huang:
Application of BERT in author verification task. 2560-2564 - Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng, Lung-Hao Lee:
Ensemble Pre-trained Transformer Models for Writing Style Change Detection. 2565-2573 - Wenbin Lin, Zhongyuan Han, Jinxi Zhang, Zengyao Li, Guiyuan Cao, Jianhong Yu, Leilei Kong:
A BERT-based model for Profiling Irony and Stereotype Spreaders on Twitter. 2574-2577 - Haolong Ma, Dingjia Li, Yutong Sun:
Profiling Irony and Stereotype Spreaders on Twitter Using TF-IDF and Neural Network. 2578-2584 - Stefano Mangione, Marco Siino, Giovanni Garbo:
Improving Irony and Stereotype Spreaders Detection using Data Augmentation and Convolutional Neural Network. 2585-2593 - Jorge Alfonso Martinez Galicia, Daniel Embarcadero Ruiz, Alejandro Ríos Orduña, Helena Gómez-Adorno:
Graph-Based Siamese Network for Authorship Verification. 2594-2606 - Maryam Najafi, Ehsan Tavan:
Text-to-Text Transformer in Authorship Verification Via Stylistic and Semantical Analysis. 2607-2616 - Jian Qin, Leilei Kong, Zhaoqian Huang, Jialin Huang, Yansheng Guo, Mingjie Huang, Zeyang Peng:
Use pre-trained models and multi-classifier voting methods to identify the ironic authors on Twitter. 2617-2622 - Tiago Filipe Nunes Ribeiro, Yana Nikolaeva Nikolova, Kaja Seraphina Elisa Hano:
Irony &Stereotype Spreader Detection using Random Forests. 2623-2641 - Carlos Alberto Rodríguez-Losada, Daniel Castro-Castro:
Three Style Similarity: sentence-embedding, auxiliary words, punctuation. 2642-2652 - Carlos Alberto Rodríguez-Losada, Daniel Castro-Castro:
Isolated Profile Style Representation. 2653-2660 - Alvaro Rodríguez Sánchez, Martín Barroso Ordóñez:
Profiling Irony and Stereotype Spreaders on Twitter: PAN Shared Task (IROSTEREO) 2022. 2661-2665 - Marco Siino, Ilenia Tinnirello, Marco La Cascia:
T100: A modern classic ensemble to profile irony and stereotype spreaders. 2666-2674 - Narjes Tahaei, Harsh Verma, Parsa Bagherzadeh, Farhood Farahnak, Nadia Sheikh, Sabine Bergler:
Identifying Author Profiles Containing Irony or Spreading Stereotypes with SBERT and Emojis. 2675-2681 - Dhaval Taunk, Sagar Joshi, Vasudeva Varma:
Profiling irony and stereotype spreaders on Twitter based on term frequency in tweets. 2682-2686 - Ehsan Tavan, Maryam Najafi, Reza Moradi:
Identifying Ironic Content Spreaders on Twitter using Psychometrics, Contextual and Ironic Features with Gradient Boosting Classifier. 2687-2697 - Bin Wang, Hui Ning:
Notebook for PAN at CLEF 2022: Profiling Irony and Stereotype Spreaders on Twitter. 2698-2702 - Yifan Xu, Hui Ning:
Profiling Irony and Stereotype Spreaders on Twitter with BERT. 2703-2707 - Zexian Yang, Li Ma, Wenyin Yang, Qidi Lao, Zhenlin Tan:
A Intelligent Detection Method for Irony and Stereotype Based on Hybird Neural Networks. 2708-2713 - Yihui Ye, Han Y, Zeyang Peng, Mingjie Huang, Leilei Kong, Zhongyuan Han:
Authorship Verification Using Convolutional Neural Network. 2714-2719 - Wentao Yu, Benedikt T. Boenninghoff, Dorothea Kolossa:
BERT-based ironic authors profiling. 2720-2733 - Dong Yuan, Wenyin Yang, Li Ma, Zhenlin Tan, Qidi Lao:
Analysis of Irony and Stereotype Spreaders Based On Convolutional Neural Networks. 2734-2738 - Zengyao Li, Zhongyuan Han, Mingjie Huang, Leilei Kong:
An Ensemble Machine Learning Classifier for Profiling Irony and Stereotype Spreaders on Twitter. 2739-2745 - Yuning Zhang, Hui Ning:
Irony and Stereotype Spreaders Detection using BERT-large and AutoGulon. 2746-2752 - Zhijie Zhang, Zhongyuan Han, Leilei Kong:
Style Change Detection based on Prompt. 2753-2756 - Jiayang Zi, Ling Zhou, Zhengyao Liu:
Style Change Detection Based On Bi-LSTM And Bert. 2757-2761
SimpleText: Automatic Simplification of Scientific Texts
- Eric SanJuan, Stéphane Huet, Jaap Kamps, Liana Ermakova:
Overview of the CLEF 2022 SimpleText Task 1: Passage Selection for a Simplified Summary. 2762-2772 - Liana Ermakova, Irina Ovchinnikova, Jaap Kamps, Diana Nurbakova, Sílvia Araújo, Radia Hannachi:
Overview of the CLEF 2022 SimpleText Task 2: Complexity Spotting in Scientific Abstracts. 2773-2791 - Liana Ermakova, Irina Ovchinnikova, Jaap Kamps, Diana Nurbakova, Sílvia Araújo, Radia Hannachi:
Overview of the CLEF 2022 SimpleText Task 3: Query Biased Simplification of Scientific Texts. 2792-2804 - Majda Ennaciri:
Searching for explanation of difficult scientific terms. 2805-2809 - Jianfei Huang, Jin Mao:
Assembly Models for SimpleText Task 2: Results from Wuhan University Research Group. 2810-2817 - Antonio Menta Garuz, Ana García-Serrano:
Controllable Sentence Simplification Using Transfer Learning. 2818-2825 - José Monteiro, Micaela Aguiar, Sílvia Araújo:
Using a Pre-trained SimpleT5 Model for Text Simplification in a Limited Corpus. 2826-2831 - Femke Mostert, Ashmita Sampatsing, Mink Spronk, David Rau, Jaap Kamps:
University of Amsterdam at the CLEF 2022 SimpleText Track. 2832-2844 - Adrián Rubio, Paloma Martínez:
HULAT-UC3M at SimpleText@CLEF-2022: Scientific text simplification using BART. 2845-2851 - Sourav Saha, Dwaipayan Roy, B. Yuvaraj Goud, Chethan S. Reddy, Tanmay Basu:
NLP-IISERB@Simpletext2022: To Explore the Performance of BM25 and Transformer Based Frameworks for Automatic Simplification of Scientific Texts. 2852-2857 - Léa Talec-Bernard:
Is Using an AI to Simplify a Scientific Text Really Worth It? 2858-2861 - Shih-Hung Wu, Hong-Yi Huang:
CYUT Team2 SimpleText Shared Task Report in CLEF-2022. 2862-2866
Touché: Argument Retrieval
- 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. 2867-2903 - Maria Aba, Munzer Azra, Marco Gallo, Odai Mohammad, Ivan Piacere, Giacomo Virginio, Nicola Ferro:
Aldo Nadi at Touché 2022: Argument Retrieval for Comparative Questions. 2904-2918 - Sepide Bahrami, Gnana Prakash Goli, Andrea Pasin, Neemol Rajkumari, Mohammad Muzammil Sohail, Paria Tahan, Nicola Ferro:
SEUPD@CLEF: Team INTSEG on Argument Retrieval for Controversial Questions. 2919-2932 - Manuel Barusco, Gabriele Del Fiume, Riccardo Forzan, Mario Giovanni Peloso, Nicola Rizzetto, Elham Soleymani, Nicola Ferro:
SEUPD@CLEF: Team Lgtm on Argument Retrieval for Controversial Questions. 2933-2955 - Alessandro Benetti, Michele De Togni, Giovanni Foti, Ralton Lacini, Andrea Matteazzi, Enrico Sgarbossa, Nicola Ferro:
SEUPD@CLEF: Team Gamora on Argument Retrieval for Controversial Questions. 2956-2968 - Jan Braker, Lorenz Heinemann, Tobias Schreieder:
Aramis at Touché 2022: Argument Detection in Pictures using Machine Learning. 2969-2998 - Thilo Brummerloh, Miriam Louise Carnot, Shirin Lange, Gregor Pfänder:
Boromir at Touché 2022: Combining Natural Language Processing and Machine Learning Techniques for Image Retrieval for Arguments. 2999-3017 - Lorenzo Cappellotto, Matteo Lando, Daniel Lupu, Marco Mariotto, Riccardo Rosalen, Nicola Ferro:
SEUPD@CLEF: Team 6musk on Argument Retrieval for Controversial Questions by Using Pairs Selection and Query Expansion. 3018-3031 - Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Deep Language Models. 3032-3040 - Alessandro Chimetto, Davide Peressoni, Enrico Sabbatini, Giovanni Tommasin, Marco Varotto, Alessio Zanardelli, Nicola Ferro:
SEUPD@CLEF: Team hextech on Argument Retrieval for Comparative Questions. The importance of adjectives in documents quality evaluation. 3041-3054 - Bernardo C. Moreira, Henrique Lopes Cardoso, Bruno Martins, Fábio Goularte:
Team Bruce Banner at Touché 2022: Argument Retrieval for Controversial Questions. 3055-3063 - Pavani Rajula, Chia-Chien Hung, Simone Paolo Ponzetto:
Stacked Model based Argument Extraction and Stance Detection using Embedded LSTM model. 3064-3073 - Ashish Rana, Pujit Golchha, Roni Juntunen, Andreea Coaja, Ahmed Elzamarany, Chia-Chien Hung, Simone Paolo Ponzetto:
LEVIRANK: Limited Query Expansion with Voting Integration for Document Retrieval and Ranking. 3074-3089 - Jan Heinrich Reimer, Johannes Huck, Alexander Bondarenko:
Grimjack at Touché 2022: Axiomatic Re-ranking and Query Reformulation. 3090-3104 - Niclas Arnhold, Philipp Rösner, Tobias Xylander:
Quality-Aware Argument Re-Ranking for Comparative Questions. 3105-3114 - Sebastian Schmidt, Jonas Probst, Bianca Bartelt, Alexander Hinz:
The Pearl Retriever: Two-Stage Retrieval for Pairs of Argumentative Sentences. 3115-3130 - Cuong Vo Ta, Florian Reiner, Immanuel von Detten, Fabian Stöhr:
Touché - Task 1 - Team Korg: Finding pairs of argumentative sentences using embeddings. 3131-3148 - Nils Wenzlitschke, Pia Sülzle:
Using BERT to retrieve relevant and argumentative sentence pairs. 3149-3163 - Jerome Würf:
Similar but Different: Simple Re-ranking Approaches for Argument Retrieval. 3164-3177
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