default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCLEF 2023: Thessaloniki, Greece - Working Notes
- Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, Michalis Vlachos:
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. CEUR Workshop Proceedings 3497, CEUR-WS.org 2023
Large-scale biomedical semantic indexing and question answering (BioASQ)
- Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gascó, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger:
Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ 2023. 1-18 - Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Georgios Paliouras:
Overview of BioASQ Tasks 11b and Synergy11 in CLEF2023. 19-26 - Anna Aksenova, Tsvetan Asamov, Petar Ivanov, Svetla Boytcheva:
Improving Biomedical Question Answering with Sentence-based Ranking at BioASQ-11b. 27-36 - Tiago Melo Almeida, Richard Adolph Aires Jonker, Roshan Poudel, Jorge Miguel Silva, Sérgio Matos:
BIT.UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation. 37-59 - Tiago Melo Almeida, Richard Adolph Aires Jonker, Roshan Poudel, Jorge Miguel Silva, Sérgio Matos:
BIT.UA at MedProcNer: Discovering Medical Procedures in Spanish Using Transformer Models with MCRF and Augmentation. 60-72 - Samy Ateia, Udo Kruschwitz:
Is ChatGPT a Biomedical Expert? 73-90 - Mariia Chizhikova, Jaime Collado-Montañez, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín-Valdivia:
Coming a Long Way with Pre-Trained Transformers and String Matching Techniques: Clinical Procedure Mention Recognition and Normalization. 91-101 - Dima Galat, Marian-Andrei Rizoiu:
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. 102-113 - Chun-Yu Hsueh, Yu Zhang, Yu-Wei Lu, Jen-Chieh Han, Wilailack Meesawad, Richard Tzong-Han Tsai:
NCU-IISR: Prompt Engineering on GPT-4 to Stove Biological Problems in BioASQ 11b Phase B. 114-121 - Petar Ivanov, Anna Aksenova, Tsvetan Asamov, Svetla Boytcheva:
Leveraging Biomedical Ontologies for Clinical Procedures Recognition in Spanish at BioASQ MedProcNER. 122-131 - Hyunjae Kim, Hyeon Hwang, Chaeeun Lee, Minju Seo, Wonjin Yoon, Jaewoo Kang:
Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4. 132-144 - Maël Lesavourey, Gilles Hubert:
BioASQ 11B: Integrating Domain Specific Vocabulary to BERT-based Model for Biomedical Document Ranking. 145-151 - Dimitra N. Panou, Martin Reczko:
Semi-supervised training for biomedical question answering. 152-158 - Raghav R, Jason Rauchwerk, Parth Rajwade, Tanay Gummadi, Eric Nyberg, Teruko Mitamura:
Biomedical Question Answering with Transformer Ensembles. 159-167 - Andrés Rosso-Mateus, León A. Muñoz-Serna, Manuel Montes-y-Gómez, Fabio A. González:
Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge. 168-177 - Ashley Shin, Qiao Jin, Zhiyong Lu:
Multi-stage Literature Retrieval System Trained by PubMed Search Logs for Biomedical Question Answering. 178-189 - Sylvia Vassileva, Georgi Grazhdanski, Svetla Boytcheva, Ivan Koychev:
Fusion @ BioASQ MedProcNER: Transformer-based Approach for Procedure Recognition and Linking in Spanish Clinical Text. 190-205 - Elena Zotova, Aitor García Pablos, Montse Cuadros, German Rigau:
VICOMTECH at MedProcNER 2023: Transformers-based Sequence-labelling and Cross-encoding for Entity Detection and Normalisation in Spanish Clinical Texts. 206-218
Check-Worthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Sources (CheckThat!)
- Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content. 219-235 - Andrea Galassi, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Mücahid Kutlu, Julia Maria Struß
, Francesco Antici, Maram Hasanain, Juliane Köhler, Katerina Korre, Folkert Leistra, Arianna Muti, Melanie Siegel, Mehmet Deniz Türkmen, Michael Wiegand, Wajdi Zaghouani:
Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection. 236-249 - Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media. 250-259 - Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayot Panayotov:
Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media. 260-268 - Fatima Haouari, Tamer Elsayed, Zien Sheikh Ali:
Overview of the CLEF-2023 CheckThat! Lab Task 5 on Authority Finding in Twitter. 269-278 - Abdul Aziz, Md. Akram Hossain, Abu Nowshed Chy:
CSECU-DSG at CheckThat!-2023: Transformer-based Fusion Approach for Multimodal and Multigenre Check-Worthiness. 279-288 - Dilshod Azizov, Preslav Nakov, Shangsong Liang:
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. 289-305 - Ipek Baris Schlicht, Lynn Khellaf, Defne Altiok:
DWReCO at CheckThat!-2023: Enhancing Subjectivity Detection through Style-based Data Sampling. 306-317 - Krishno Dey, Prerona Tarannum, Md. Arid Hasan, Sheak Rashed Haider Noori:
NN at CheckThat!-2023: Subjectivity in News Articles Classification with Transformer Based Models. 318-328 - Raphael Antonius Frick:
Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation & Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT. 329-336 - Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping. 337-350 - Folkert Atze Leistra, Tommaso Caselli:
Thesis Titan at CheckThat!-2023: Language-Specific Fine-tuning of mDeBERTaV3 for Subjectivity Detection. 351-359 - Chenxin Li, Ruijin Xue, Chichen Lin, Weijian Fan, Xiao Han:
CUCPLUS at CheckThat!-2023: Text Combination and Regularized Adversarial Training for News Media Factuality Evaluation. 360-371 - Juan R. Martinez-Rico, Lourdes Araujo, Juan Martínez-Romo:
NLPIR-UNED at CheckThat!-2023: Ensemble of Classifiers for Check-Worthiness Estimation. 372-382 - Arkadiusz Modzelewski, Witold Sosnowski, Adam Wierzbicki:
DSHacker at CheckThat!-2023: Check-Worthiness in Multigenre and Multilingual Content With GPT-3.5 Data Augmentation. 383-393 - Rabindra Nath Nandi, Firoj Alam:
TeamX at CheckThat!-2023: Multilingual and Multimodal Approach for Check-Worthines Detection. 394-403 - Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Gpachov at CheckThat!-2023: A Diverse Multi-approach Ensemble for Subjectivity Detection in News Articles. 404-412 - Hamza Tarik Sadouk, Faouzi Sebbak, Hussem Eddine Zekiri:
ES-VRAI at CheckThat!-2023: Leveraging Bio and Lists Information for Enhanced Rumor Verification in Twitter. 413-422 - Hamza Tarik Sadouk, Faouzi Sebbak, Hussem Eddine Zekiri:
ES-VRAI at CheckThat!-2023: Enhancing Model Performance for Subjectivity Detection through Multilingual Data Aggregation. 423-429 - Hamza Tarik Sadouk, Faouzi Sebbak, Hussem Eddine Zekiri:
ES-VRAI at CheckThat!-2023: Analyzing Checkworthiness in Multimodal and Multigenre Contents through Fusion and Sampling Approaches. 430-444 - Abdullah Al Mamun Sardar, Md. Ziaul Karim, Krishno Dey, Md. Arid Hasan:
FakeDTML at CheckThat!-2023: Identifying Check-Worthiness of Tweets and Debate Snippets. 445-452 - Marcin Sawinski, Krzysztof Wecel, Ewelina Ksiezniak, Milena Strózyna, Wlodzimierz Lewoniewski, Piotr Stolarski, Witold Abramowicz:
OpenFact at CheckThat!-2023: Head-to-Head GPT vs. BERT - A Comparative Study of Transformers Language Models for the Detection of Check-worthy Claims. 453-472 - Elena Shushkevich, John Cardiff:
TUDublin at CheckThat!-2023: ChatGPT for Data Augmentation. 473-481 - Prerona Tarannum, Md. Arid Hasan, Firoj Alam, Sheak Rashed Haider Noori:
Z-Index at CheckThat!-2023: Unimodal and Multimodal Check-worthiness Classification. 482-493 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Learning to Detect Factuality Levels of News Sources. 494-499 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Learning to Detect Political Bias of News Articles and Sources. 500-506 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Impacts of Back-translation on Subjectivity Detection. 507-517 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Identifying Claims with Societal Impact using NLP Data Augmentation. 518-525 - Mehmet Deniz Türkmen, Gökalp Cosgun, Mücahid Kutlu:
TOBB ETU at CheckThat!-2023: Utilizing ChatGPT to Detect Subjective Statements and Political Bias. 526-533 - Pius von Däniken, Jan Deriu, Mark Cieliebak:
ZHAW-CAI at CheckThat!-2023: Ensembling using Kernel Averaging. 534-545
Document Information Localization and Extraction (DocILE)
- Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Extended Overview of DocILE 2023: Document Information Localization and Extraction. 546-571 - Bao Gia Tran, Duy-Ngo Minh Bao, Khanh Gia Bui, Huy Viet Duong, Dang Hai Nguyen, Hieu Minh Nguyen:
RoBERTa Ensemble Technique for Document Information Localization and Extraction. 572-582 - Jakub Straka, Ivan Gruber:
Object Detection Pipeline Using YOLOv8 for Document Information Extraction. 583-597 - Yan Wang, Jun Du, Jiefeng Ma, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang:
USTC-iFLYTEK at DocILE: A Multi-modal Approach Using Domain-specific GraphDoc. 598-610
Early Risk Prediction on the Internet (eRisk)
- Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). 611-638 - Eduardo Bezerra, Leonardo Ferreira dos Santos, Rodolpho Nascimento, Rui Pedro Lopes, Gustavo Paiva Guedes:
NailP at eRisk 2023: Search for Symptoms of Depression. 639-661 - Ana-Maria Bucur:
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media. 662-671 - Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks. 672-683 - Diana-Nicoleta Grigore, Ioana Pintilie:
Transformer-based Topic Modeling to Measure the Severity of Eating Disorder Symptoms. 684-692 - Xabier Larrayoz, Nuria Lebeña, Arantza Casillas, Alicia Pérez:
Representation Exploration and Deep Learning Applied to the Early Detection of Pathological Gambling Risks. 693-705 - Juan Martínez-Romo, Lourdes Araujo, Xabier Larrayoz, Maite Oronoz, Alicia Pérez:
OBSER-MENH at eRisk 2023: Deep Learning-Based Approaches for Symptom Detection in Depression and Early Identification of Pathological Gambling Indicators. 706-717 - Diego Maupomé, Thomas Soulas, Fanny Rancourt, Ghyslain Cantin-Savoie, Grégoire Winterstein, Sébastien Mosser, Marie-Jean Meurs:
Lightweight Methods for Early Risk Detection. 718-726 - Ghofrane Merhbene, Alexandre R. Puttick, Mascha Kurpicz-Briki:
BFH-AMI at eRisk@CLEF 2023. 727-735 - Antonio Molina, Xinhui Huang, Lluís-F. Hurtado, Ferran Pla:
ELiRF-UPV at eRisk 2023: Early detection of pathological gambling using SVM. 736-742 - Alba María Mármol-Romero, Flor Miriam Plaza del Arco, Arturo Montejo-Ráez:
SINAI at eRisk@CLEF 2023: Approaching Early Detection of Gambling with Natural Language Processing. 743-751 - Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at eRisk@CLEF 2023 Shared Task: Transformer Models for Early Detection of Pathological Gambling, Depression, and Eating Disorder. 752-762 - Naveen Recharla, Prasanthi Bolimera, Yash Gupta, Anand Kumar Madasamy:
Exploring Depression Symptoms through Similarity Methods in Social Media Posts. 763-772 - Fardin Ahsan Sakib, Ahnaf Atef Choudhury, Özlem Uzuner:
MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from Social Media Texts. 773-781 - Abu Talha, Tanmay Basu:
A Natural Language Processing Based Risk Prediction Framework for Pathological Gambling. 782-790 - Horacio Thompson, Leticia C. Cagnina, Marcelo Errecalde:
Strategies to Harness the Transformers' Potential: UNSL at eRisk 2023. 791-804 - Yuxi Wang, Diana Inkpen:
uOttawa at eRisk 2023: Search for Symptoms of Depression. 805-812
sEXism Identification in Social neTworks (EXIST)
- Laura Plaza, Jorge Carrillo de Albornoz, Roser Morante, Enrique Amigó, Julio Gonzalo, Damiano Spina, Paolo Rosso:
Overview of EXIST 2023 - Learning with Disagreement for Sexism Identification and Characterization (Extended Overview). 813-854 - Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Multilingual Sexism Identification Using Contrastive Learning. 855-861 - Hardik Asnani, Andrew Davis, Aaryana Rajanala, Sandra Kübler:
Tlatlamiztli: Fine-Tuned RoBERTuito for Sexism Detection. 862-868 - Matthew Buzzell, Jeremy Dickinson, Natasha Singh, Sandra Kübler:
IU-NLP-JeDi: Investigating Sexism Detection in English and Spanish. 869-877 - Jaqueline Böck, Mina Schütz, Daria Liakhovets, Nathanya Queby Satriani, Andreas Babic, Djordje Slijepcevic, Matthias Zeppelzauer, Alexander Schindler:
AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment and Toxicity Embeddings and Hand-Crafted Features. 878-890 - Atul Chaudhary, Ritesh Kumar:
Sexism Identification In Social Networks. 891-900 - Pablo Cordon, Jacinto Mata, Victoria Pachón, Juan Luis Domínguez:
I2C-UHU at CLEF-2023 EXIST task: Leveraging Ensembling Language Models to Detect Multilingual Sexism in Social Media. 901-907 - Johan Erbani, Elöd Egyed-Zsigmond, Diana Nurbakova, Pierre-Edouard Portier:
When Multiple Perspectives and an Optimization Process Lead to Better Performance, an Automatic Sexism Identification on Social Media With Pretrained Transformers in a Soft Label Context. 908-918 - Berna Ilke Ersoy, Gian Radler, Sofia Carpentieri:
CLassifiers at EXIST 2023: Detecting Sexism in Spanish and English Tweets With XLM-T. 919-926 - Elizabeth Gabel, Holly Redman, Daniel Swanson, Sandra Kübler:
IU-Percival: Linear Models for Sexism Detection. 927-936 - José Antonio García-Díaz, Ronghao Pan, Rafael Valencia-García:
UMUTeam at EXIST 2023: Sexism identification and categorisation fine-tuning Multilingual Large Language Models. 937-949 - Yash A. Hatekar, Muhammad S. Abdo, Snigdha Khanna, Sandra Kübler:
IUEXIST: Multilingual Pre-trained Language Models for Sexism Detection on Twitter in EXIST2023. 950-958 - Chirayu Jhakal, Khushi Singal, Manan Suri, Divya Chaudhary, Bijendra Kumar, Ian Gorton:
Detection of Sexism on Social Media with Multiple Simple Transformers. 959-966 - Rohit Koonireddy, Niloofar Adel:
ROH_NEIL@EXIST2023: Detecting Sexism in Tweets using Multilingual Language Models. 967-984 - Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreement Regime. 985-999 - Hadi Mohammadi, Anastasia Giachanou, Ayoub Bagheri:
Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. 1000-1011 - Arianna Muti, Eleonora Mancini:
Enriching Hate-Tuned Transformer-Based Embeddings with Emotions for the Categorization of Sexism. 1012-1023 - Jacobo Pedrosa-Marín, Jorge Carrillo-de-Albornoz, Laura Plaza:
Combining Transformer Based Language Models with Socio-demographic Information for Improving Sexism Detection in Social Media. 1024-1036 - Alexandru Petrescu:
Leveraging MiniLMv2 Pipelines for EXIST2023. 1037-1043 - Srinivasa Ravi, Siddharth Kelkar, Anand Kumar Madasamy:
LSTM-Attention Architecture for Online Bilingual Sexism Detection. 1044-1059 - Zackary Leech, Ravi Regulagedda, Sandra Kübler:
ZaRa-IU-NLP at EXIST 2023 - Sexism Identification: Specialized or Generalized? 1060-1066 - Andrea Sanchez-Urbina, Helena Gómez-Adorno, Gemma Bel-Enguix, Vianey Rodríguez-Figueroa, Angela Monge-Barrera:
IimasGIL_NLP@EXIST2023: Unveiling Sexism on Twitter with Fine-tuned Transformers. 1067-1082 - Lin Tian, Nannan Huang, Xiuzhen Zhang:
Efficient Multilingual Sexism Detection via Large Language Model Cascades. 1083-1090 - María Estrella Vallecillo Rodríguez, Flor Miriam Plaza del Arco, Luis Alfonso Ureña López, María Teresa Martín-Valdivia, Arturo Montejo-Ráez:
Integrating Annotator Information in Transformer Fine-tuning for Sexism Detection. 1091-1106 - Advaitha Vetagiri, Prottay Kumar Adhikary, Partha Pakray, Amitava Das:
Leveraging GPT-2 for Automated Classification of Online Sexist Content. 1107-1122
Intelligent Disease Progression Prediction at CLEF (iDPP@CLEF)
- Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. 1123-1164 - Tsvetan Asamov, Petar Ivanov, Anna Aksenova, Dimitar Taskov, Svetla Boytcheva:
Maximum Likelihood Estimation with Deep Learning for Multiple Sclerosis Progression Prediction. 1165-1185 - Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos:
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. 1186-1198 - Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos:
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening. 1199-1209 - Tommaso Mario Buonocore, Pietro Bosoni, Giovanna Nicora, Mahin Vazifehdan, Riccardo Bellazzi, Enea Parimbelli, Arianna Dagliati:
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. 1210-1218 - Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo:
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. 1219-1232 - Marek Hanzl, Lukás Picek:
Predicting Risk of Multiple Sclerosis Worsening. 1233-1245 - Mohamed Chiheb Karray:
Air Pollution Profiling through Patient Stratification: Study of ALS Staging Systems Usefulness in Facilitating Data-driven Disease Subtyping and Discovery of Hazardous Ambient Air Pollutants. 1246-1271 - Angela Lombardi, Maria Luigia Natalia De Bonis, Giuseppe Fasano, Alessia Sportelli, Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia:
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. 1272-1285 - Alberto Ramos, Paloma Martínez, Israel González-Carrasco:
HULAT@IDDP CLEF 2023: Intelligent Prediction of Disease Progression in Multiple Sclerosis Patients. 1286-1297 - Ivan Rossi, Giovanni Birolo, Piero Fariselli:
Multiple Sclerosis Survival Prediction Results from DSM-COMPBIO UNITO. 1298-1304
Multimedia Retrieval Challenge in CLEF (ImageCLEF)
- Alexandra-Georgiana Andrei, Ahmedkhan Radzhabov, Ioan Coman, Vassili Kovalev, Bogdan Ionescu, Henning Müller:
Overview of ImageCLEFmedical GANs 2023 Task - Identifying Training Data "Fingerprints" in Synthetic Biomedical Images Generated by GANs for Medical Image Security. 1305-1315 - Steven Hicks, Andrea M. Storås, Pål Halvorsen, Thomas de Lange, Michael Riegler, Vajira Thambawita:
Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract. 1316-1327 - 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 2023 - Caption Prediction and Concept Detection. 1328-1346 - Wen-wai Yim, Asma Ben Abacha, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. 1347-1360 - Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Bogdan Ionescu:
Overview of ImageCLEFfusion 2023 Task - Testing Ensembling Methods in Diverse Scenarios. 1361-1366 - Vaibhav Adwani, Mohammed Sameer Khan, Ankush Chopra:
TREDENCE at MEDIQA-Sum 2023: Clinical Note Generation from Doctor Patient Conversation using Utterance Segmentation and Question-Answer Driven Abstractive Summarization. 1367-1378 - Alexandra-Georgiana Andrei, Bogdan Ionescu:
AIMultimediaLab at ImageCLEFmedical GANs 2023: Determining "Fingerprints" of Training Data in Generated Synthetic Images. 1379-1386 - Masaki Aono, Hiroki Shinoda, Tetsuya Asakawa, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda:
Multi-stage Medical Image Captioning using Classification and CLIP. 1387-1395 - Tetsuya Asakawa, Hiroki Shinoda, Takuya Togawa, Kazuki Shimizu, Masaki Aono:
Real and Generated Image Classification using Multi-stage Transfer Learning. 1396-1402 - Prabavathy Balasundaram, G. Gnana Sai, Kishore N, Olirva M, Makesh Vaibhav A. G, Naren Srinivasan Murali, Parlapalli Sai Harshith:
Efficient Fusion Techniques for Result Diversification and Image Interestingness Tasks. 1403-1414 - Haricharan Bharathi, Anirudh Bhaskar, Vishal Venkataramani, Karthik Desingu, Lekshmi Kalinathan:
Correlating Biomedical Image Fingerprints between GAN-generated and Real Images using a ResNet Backbone with ML-based Downstream Comparators and Clustering: ImageCLEFmed GANs, 2023. 1415-1422 - Duy-Cat Can, Quoc-An Nguyen, Binh-Nguyen Nguyen, Minh-Quang Nguyen, Khanh-Vinh Nguyen, Trung-Hieu Do, Hoang-Quynh Le:
UETCorn at MEDIQA-Sum 2023: Template-based Summarization for Clinical Note Generation from Doctor-Patient Conversation. 1423-1432 - Shitong Cao, Xiaobing Zhou:
Finding the Source Images From the Generated Images with Contrastive Learning Methods. 1433-1439 - Chi-Yun Chang, Jiaqi Li, Shivangi Kumar, V. G. Vinod Vydiswaran:
StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic Classification. 1440-1449 - Patrycja Cieplicka, Julia Klos, Maciej Morawski, Jaroslaw Opala:
Language-based Colonoscopy Image Analysis with Pretrained Neural Networks. 1450-1461 - Md. Ismail Siddiqi Emon, Md Mahmudur Rahman:
Media Interestingness Prediction in ImageCLEFfusion 2023 with Dense Architecture-based Ensemble & Scaled Gradient Boosting Regressor Model. 1462-1466 - Michela Gravina, Stefano Marrone, Carlo Sansone:
Analyzing the Similarity between Artificial and Training Images in Generative Models: The PicusLabMed Contribution. 1467-1477 - Rohit Raj Gunti, Abebe Rorissa:
A Dual of Stacked Attention Networks (SAN's) and VGG-16 Model-Based Visual Question Answering Evaluation. 1478-1487 - Bin Han, Haotian Zhu, Sitong Zhou, Sofia Ahmed, Md. Mushfiqur Rahman, Fei Xia, Kevin Lybarger:
HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers. 1488-1509 - Md. Rakibul Hasan, Oyebisi Layode, Md Mahmudur Rahman:
Concept Detection and Caption Prediction in ImageCLEFmedical Caption 2023 with Convolutional Neural Networks, Vision and Text-to-Text Transfer Transformers. 1510-1523 - Panagiotis Kaliosis, Georgios Moschovis, Foivos Charalampakos, John Pavlopoulos, Ion Androutsopoulos:
AUEB NLP Group at ImageCLEFmedical Caption 2023. 1524-1548 - Dhanya Krishnan, Divya Srinivasan, Kavitha Srinivasan:
SSNdhanyadivyakavitha at MEDIQA-Sum 2023: Medical Dialogue Summarization using Linear Support Vector Classification Technique. 1549-1557 - Yasaman Lotfollahi, Melika Nobakhtian, Malihe Hajihosseini, Sauleh Eetemadi:
IUST_NLPLAB at ImageCLEFmedical Caption Tasks 2023. 1558-1570 - Triet M. Thai, Anh T. Vo, Hao K. Tieu, Linh N. P. Bui, Thien T. B. Nguyen:
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering. 1571-1587 - Mehdi Mehdipour-Ghazi, Mostafa Mehdipour-Ghazi:
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis. 1588-1595 - Helena Montenegro, Pedro C. Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, Luís F. Teixeira:
Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023. 1596-1610 - Aaron Nicolson, Jason Dowling, Bevan Koopman:
A Concise Model for Medical Image Captioning. 1611-1619 - Sheerin Sitara Noor Mohamed, Kavitha Srinivasan:
SSN MLRG at ImageCLEFmedical Caption 2023: Automatic Concept Detection and Caption Prediction using ConceptNet and Vision Transformer. 1620-1626 - Sheerin Sitara Noor Mohamed, Kavitha Srinivasan:
SSN MLRG at MEDIQA-SUM 2023: Automatic Text Summarization using Support Vector Machine and RoBERTa. 1627-1632 - Sheerin Sitara Noor Mohamed, Kavitha Srinivasan, Raghuraman Gopalsamy:
SSN MLRG at MEDVQA-GI 2023: Visual Question Generation and Answering using Transformer based Pre-trained Models. 1633-1640 - Mirunalini Palaniappan, Haricharan Bharathi, Eeswara Anvesh Chodisetty, Anirudh Bhaskar, Karthik Desingu:
Concept Detection and Caption Prediction from Medical Images using Gradient Boosted Ensembles and Deep Learning. 1641-1652 - Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso:
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. 1653-1667 - Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. 1668-1679 - Ashwyn Sharma, David I. Feldman:
Team Cadence at MEDIQA-Sum 2023: Using ChatGPT as a Data Augmentation Tool for Classifying Clinical Dialogue. 1680-1687 - Hiroki Shinoda, Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Takuyuki Komoda, Takuya Togawa:
KDE Lab at ImageCLEFmedical Caption 2023. 1688-1701 - Dhivya Subburam, Shriram M. SathyaNarayanan, Bhavana Anand, Kavitha Srinivasan, Mohanavalli Subramaniam:
DMK-SSN at ImageCLEF 2023 Medical: Controlling the Quality of Synthetic Medical Images Created via GANs using Machine Learning and Image Hashing Techniques. 1702-1710 - Harshida Sujatha Palaniraj, Keerthan Vinod, Mohith Adluru, Bhuvana Jayaraman, Mirnalinee T. T:
MLRG-JBTTM at MEDIQA-Sum 2023: Dialogue2Topic Classification. 1711-1719 - Kunal Suri, Prakhar Mishra, Saumajit Saha, Atul Singh:
SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization. 1720-1735 - Sushmita Upadhyay, Sanjaya Shankar Tripathy:
BIT Mesra at ImageCLEF 2023: Fusion of Blended Image and Text Features for Medical VQA. 1736-1743 - Siqi Wang, Wenshuo Zhou, Yehui Yang, Haifeng Huang, Zhiyu Ye, Tong Zhang, Dalu Yang:
Adapting Pre-Trained Visual and Language Models for Medical Image Question Answering. 1744-1753 - Bang Yang, Asif Raza, Yuexian Zou, Tong Zhang:
PCLmed at ImageCLEFmedical 2023: Customizing General-Purpose Foundation Models for Medical Report Generation. 1754-1766 - Varsha Yeshwanth, Pranith P, Lekshmi Kalinathan:
Concept Detection and Image Caption Generation in Medical Imaging. 1767-1775 - Wenshuo Zhou, Zhiyu Ye, Yehui Yang, Siqi Wang, Haifeng Huang, Rongjie Wang, Dalu Yang:
Transferring Pre-Trained Large Language-Image Model for Medical Image Captioning. 1776-1784
Automatic Wordplay Analysis (JOKER)
- Liana Ermakova, Tristan Miller, Anne-Gwenn Bosser, Victor Manuel Palma-Preciado, Grigori Sidorov, Adam Jatowt:
Overview of JOKER 2023 Automatic Wordplay Analysis Task 1 - Pun Detection. 1785-1803 - Liana Ermakova, Tristan Miller, Anne-Gwenn Bosser, Victor Manuel Palma-Preciado, Grigori Sidorov, Adam Jatowt:
Overview of JOKER 2023 Automatic Wordplay Analysis Task 2 - Pun Location and Interpretation. 1804-1817 - Liana Ermakova, Tristan Miller, Anne-Gwenn Bosser, Victor Manuel Palma-Preciado, Grigori Sidorov, Adam Jatowt:
Overview of JOKER 2023 Automatic Wordplay Analysis Task 3 - Pun Translation. 1818-1827 - Aftab Anjum, Nikolaus Lieberum:
Exploring Humor in Natural Language Processing: A Comprehensive Review of JOKER Tasks at CLEF Symposium 2023. 1828-1837 - Océane Brunelière, Constance Germann, Keith Salina:
CLEF 2023 JOKER Task 2 : Using Chat GPT for Pun Location and Interpretation. 1838-1845 - Ryan Rony Dsilva:
AKRaNLU @ CLEF JOKER 2023: Using Sentence Embeddings and Multilingual Models to Detect and Interpret Wordplay. 1846-1853 - Quentin Dubreuil:
UBO Team @ CLEF JOKER 2023 Track For Task 1, 2 and 3 - Applying AI Models In Regards To Pun Translation. 1854-1861 - Loïc Glemarec, Fred Charles:
BU-Pier Team @ CLEF JOKER 2023 Open Task: Slip of the Tongue Generation to Improve Social Interaction with Virtual Agents. 1862-1867 - Julia Komorowska, Iva Catipovic, Darko Vujica:
CLEF2023' JOKER. 1868-1874 - Felix Ohnesorge, Mari Ángeles Gutiérrez, Julia Plichta:
CLEF 2023 JOKER Tasks 2 and 3: Using NLP Models for Pun Location, Interpretation and Translation. 1875-1880 - Victor Manuel Palma-Preciado, Carolina Palma Preciado, Grigori Sidorov:
NLPalma @ CLEF 2023 JOKER: A BLOOMZ and BERT Approach for Wordplay Detection and Translation. 1881-1887 - Olga Popova, Petra Dadic:
Does AI Have a Sense of Humor? CLEF 2023 JOKER Tasks 1, 2 and 3: Using BLOOM, GPT, SimpleT5, and More for Pun Detection, Location, Interpretation and Translation. 1888-1908 - Antonela Prnjak, Dennis R. Davari, Kristina Schmitt:
CLEF 2023 JOKER Task 1, 2, 3: Pun Detection, Pun Interpretation, and Pun Translation. 1909-1917 - Stefan Reicho, Adam Jatowt:
Innsbruck @ JOKER2023 Task 1: Data Augmentation Techniques for Humor Recognition in Text. 1918-1924 - Tremaine Thomas-Young:
Why Sentiment Analysis is a Joke with JOKER data? Word-Level and Interpretation Analysis (CLEF 2023 JOKER Task 2). 1925-1933
Multimedia Retrieval in Nature (LifeCLEF)
- Stefan Kahl, Tom Denton, Holger Klinck, Hendrik Reers, Francis Cherutich, Hervé Glotin, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, Alexis Joly:
Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa. 1934-1942 - Lukás Picek, Milan Sulc, Rail Chamidullin, Jirí Matas:
Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost. 1943-1953 - Christophe Botella, Benjamin Deneu, Diego Marcos Gonzalez, Maximilien Servajean, Théo Larcher, César Leblanc, Joaquim Estopinan, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. 1954-1971 - Hervé Goëau, Pierre Bonnet, Alexis Joly:
Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale. 1972-1981 - Lukás Picek, Rail Chamidullin, Marek Hrúz, Andrew M. Durso:
Overview of SnakeCLEF 2023: Snake Identification in Medically Important Scenarios. 1982-1995 - Aarti Balana:
Metric-Weighted Ensemble Focal Loss for Snake Species Identification. 1996-2006 - Benjamin Bracke, Mohammadreza Bagherifar, Louise Bloch, Christoph M. Friedrich:
Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification. 2007-2034 - Sophia Chulif, Yang Loong Chang, Sue Han Lee:
Deep Learning for Large-Scale Plant Classification: NEUON Submission to PlantCLEF 2023. 2035-2042 - Lihang Hong:
Acoustic Bird Species Recognition at BirdCLEF 2023: Training Strategies for Convolutional Neural Network and Inference Acceleration using OpenVINO. 2043-2050 - Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Yong Li, Xiu-Shen Wei:
A Deep Learning based Solution to FungiCLEF2023. 2051-2059 - Feiran Hu, Peng Wang, Yangyang Li, Chenlong Duan, Zijian Zhu, Fei Wang, Faen Zhang, Yong Li, Xiu-Shen Wei:
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023. 2060-2070 - Mario Lasseck:
Bird Species Recognition using Convolutional Neural Networks with Attention on Frequency Bands. 2071-2079 - Mihai-Dimitrie Minut, Cristian Simionescu, Adrian Iftene:
Classic Approaches to Bird Song Classification. 2080-2090 - Anthony Miyaguchi, Nathan Zhong, Murilo Gustineli, Chris Hayduk:
Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification. 2091-2106 - Paul Nussbaum:
Reading the Robot Mind - Presenting Internal Data Flow Within an AI for Classification of Bird Sounds in a Format Familiar to Subject Matter Experts. 2107-2121 - Huan Ren, Han Jiang, Wang Luo, Meng Meng, Tianzhu Zhang:
Entropy-guided Open-set Fine-grained Fungi Recognition. 2122-2136 - Zhennan Shi, Huazhen Chen, Chang Liu, Jun Qiu:
Metaformer Model with ArcFaceLoss and Contrastive Learning for SnakeCLEF2023 Fine-Grained Classification. 2137-2148 - Huy Quang Ung, Ryoichi Kojima, Shinya Wada:
Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label Plant Species Prediction. 2149-2158 - Stefan Wolf, Jürgen Beyerer:
Optimizing Fine-Grained Fungi Classification for Diverse Application-Oriented Open-Set Metrics. 2159-2167 - Mingle Xu, Sook Yoon, Chenmou Wu, Jeonghyun Baek, Dong Sun Park:
PlantCLEF2023: A Bigger Training Dataset Contributes More than Advanced Pretraining Methods for Plant Identification. 2168-2180
Longitudinal Evaluation of Model Performance (LongEval)
- Rabab Alkhalifa, Iman Munire Bilal, Hsuvas Borkakoty, José Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Gabriela Nicole González Sáez, Petra Galuscáková, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. 2181-2203 - Isil Atabek, Huimin Chen, Jesús Moncada-Ramírez, Nicolò Santini, Giovanni Zago, Nicola Ferro:
SEUNIPD@CLEF: Team JIHUMING on Enhancing Search Engine Performance with Character N-Grams, Query Expansion, and Named Entity Recognition. 2204-2221 - Leonardo Bellin, Antonino Andrea Carè, Marco Martini, Maria Teresa Pepaj, Matteo Salvalaio, Andrea Segala, Mariafiore Tognon, Nicola Ferro:
SEUPD@CLEF: Team GWCA on Longitudinal Evaluation of IR Systems by Using Query Expansion and Learning To Rank. 2222-2238 - Alvise Bolzonella, Riccardo Broetto, Marco Gasparini, Farhad Sadat, Nicola Ferro:
SEUPD@CLEF: RAFJAM on Longitudinal Evaluation of Model Performance. 2239-2251 - Enrico Bolzonello, Christian Marchiori, Daniele Moschetta, Riccardo Trevisiol, Fabio Zanini, Nicola Ferro:
SEUPD@CLEF: Team FADERIC on A Query Expansion and Reranking Approach for the LongEval Task. 2252-2280 - Simone Bortolin, Gioele Ceccon, Gil Czaczkes, Alessandra Pastore, Pietro Renna, Giovanni Zerbo, Nicola Ferro:
SEUPD@CLEF: Team NEON. A Memoryless Approach To Longitudinal Evaluation. 2281-2305 - Vittorio Cardillo, Alberto Dorizza, Mattia Maglie, Dario Mameli, Gianluca Rossi, Michele Russo, Nicola Ferro:
SEUPD@CLEF: Team Squid on LongEval-Retrieval. 2306-2337 - Daniel Carlesso, Riccardo Gobbo, Simone Merlo, Angela Pomaro, Diego Spinosa, Nicola Ferro:
SEUPD@CLEF: Team DARDS - IR System for Short and Long Term Retrieval. 2338-2367 - Gianluca Antolini, Nicola Boscolo, Mirco Cazzaro, Marco Martinelli, Seyedreza Safavi, Farzad Shami, Nicola Ferro:
SEUPD@CLEF: Team CLOSE on Temporal Persistence of IR Systems' Performance. 2368-2395 - Andrea Ceccato, Luca Fabbian, Bor-Woei Huang, Irfan Ullah Khan, Harjot Singh, Nicola Ferro:
SEUPD@CLEF: Team HIBALL on Incremental Information Retrieval System with RRF and BERT. 2396-2415 - Enrico D'Alberton, Saverio Fincato, Vaidas Lenartavicius, Laura Pallante, Yi Jian Qiu, Nicola Ferro:
SEUPD@CLEF: Team QEVALS on Information Retrieval Adapted to the Temporal Evolution of Web Documents. 2416-2431 - Maik Fröbe, Gijs Hendriksen, Arjen P. de Vries, Martin Potthast:
Open Web Search at LongEval 2023: Reciprocal Rank Fusion on Automatically Generated Query Variants. 2432-2440 - Jüri Keller, Timo Breuer, Philipp Schaer:
Evaluating Temporal Persistence Using Replicability Measures. 2441-2457 - Pablo Medina-Alias, Özgür Simsek:
The Temporal Persistence of Generative Language Models in Sentiment Analysis. 2458-2468 - Dean Ninalga:
Keeping in Time: Adding Temporal Context to Sentiment Analysis Models. 2469-2475
Lab on Digital Text Forensics and Stylometry (PAN)
- Efstathios Stamatatos, Krzysztof Kredens, Piotr Pezik, Annina Heini, Janek Bevendorff, Benno Stein, Martin Potthast:
Overview of the Authorship Verification Task at PAN 2023. 2476-2491 - Mara Chinea-Rios, Ian Borrego-Obrador, Marc Franco-Salvador, Francisco Rangel, Paolo Rosso:
Profiling Cryptocurrency Influencers with Few-shot Learning. 2492-2512 - Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2023. 2513-2522 - Matti Wiegmann, Magdalena Wolska, Martin Potthast, Benno Stein:
Overview of the Trigger Detection Task at PAN 2023. 2523-2536 - Hamed Babaei Giglou, Mostafa Rahgouy, Jennifer D'Souza, Milad Molazadeh Oskuee, Hadi Bayrami Asl Tekanlou, Cheryl D. Seals:
Leveraging Large Language? Models with Multiple Loss Learners for Few-Shot Author Profiling. 2539-2551 - Guiyuan Cao, Zhongyuan Han, Haojie Cao, Ximin Huang, Zhengqiao Zeng, Yaozu Tan, Jiyin Cai, Xu Sun:
A Dual-model Classification Based on RoBERTa for Trigger Detection. 2552-2556 - Haojie Cao, Zhongyuan Han, Guiyuan Cao, Ruihao Zhu, Yongqi Liang, Siman Liu, Minhua Huang, Haihao Yu:
Trigger Warning Labeling with RoBERTa and Resampling for Distressing Content Detection. 2557-2561 - Haoyang Chen, Zhongyuan Han, Zengyao Li, Yong Han:
A Writing Style Embedding Based on Contrastive Learning for Multi-Author Writing Style Analysis. 2562-2567 - Daniel Yacob Espinosa, Grigori Sidorov:
Using BERT to Profiling Cryptocurrency Influencers. 2568-2573 - Jenny Felser, Christoph Demus, Dirk Labudde, Michael Spranger:
FoSIL at PAN'23: Trigger Detection with a Two Stage Topic Classifier. 2574-2587 - Isabel Ferri-Molla, Jaume Santamaria-Jorda:
Profiling Cryptocurrency Influencers with Few-shot Learning. 2588-2598 - Kavya Girish, Asha Hegde, Fazlourrahman Balouchzahi, Hosahalli Lakshmaiah Shashirekha:
Profiling Cryptocurrency Influencers with Sentence Transformers. 2599-2607 - Mingcan Guo, Zhongyuan Han, Haoyang Chen, Haoliang Qi:
A Contrastive Learning of Sample Pairs for Authorship Verification. 2608-2612 - Ahmad Hashemi, Wei Shi:
Enhancing Writing Style Change Detection using Transformer-based Models and Data Augmentation. 2613-2621 - Asha Hegde, Fazlourrahman Balouchzahi, Kavya Girish, Hosahalli Lakshmaiah Shashirekha:
Trigger Detection in Social Media Text. 2622-2628 - Mingjie Huang, Zhaohao Huang, Leilei Kong:
Encoded Classifier Using Knowledge Distillation for Multi-Author Writing Style Analysis. 2629-2634 - Zhaohao Huang, Leilei Kong, Mingjie Huang:
Authorship Verification Based on CoSENT. 2635-2639 - Momen Ibrahim, Ahmed Akram, Mohammed Radwan, Rana Ayman, Mustafa Abd-El-Hameed, Nagwa M. El-Makky, Marwan Torki:
Enhancing Authorship Verification using Sentence-Transformers. 2640-2651 - Gianni X. Jacobo, Valeria Dehesa-Corona, Ariel D. Rojas-Reyes, Helena Gómez-Adorno:
Authorship Verification Machine Learning Methods For Style Change Detection In Texts. 2652-2658 - Izzet Emre Kucukkaya, Umitcan Sahin, Cagri Toraman:
ARC-NLP at PAN 2023: Transition-Focused Natural Language Inference for Writing Style Detection. 2659-2668 - Abhinav Kumar, Le Hoang Minh Trinh, Afshan Anam Saeed:
UZH at PAN-2023: Profiling Cryptocurrency Influencers using Ensemble of Language Models. 2669-2678 - Roberto Labadie Tamayo, Areg Mikael Sarvazyan:
Reshape or Update? Metric Learning and Fine-tuning for Low-Resource Influencer Profiling. 2679-2690 - Ji Li, Qianjin Zhang, Mingjie Huang:
Author Verification Of Text Fragments Based On The Bert Model. 2691-2694 - Zengyao Li, Zhongyuan Han, Jiyin Cai, Zhijian Huang, Shaohua Huang, Leilei Kong:
Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning. 2695-2701 - Xurong Liu, Leilei Kong, Mingjie Huang:
Text-Segment Interaction for Authorship Verification using BERT-based Classification. 2702-2707 - Francesco Lomonaco, Marco Siino, Maurizio Tesconi:
Text Enrichment with Japanese Language to Profile Cryptocurrency Influencers. 2708-2716 - Jiajun Lv, Yong Han, Qian Dong:
Application of R-Drop in Authorship Verification. 2717-2721 - Hamna Muslihuddeen, Pallapothula Sathvika, Shalaka Sankar, Shreya Ostwal, Anand Kumar M:
Profiling Cryptocurrency Influencers using Few-shot Learning. 2722-2733 - Panagiotis Petropoulos:
Contrastive Learning for Authorship Verification using BERT and Bi-LSTM in a Siamese Architecture. 2734-2741 - Yong Qiu, Haoliang Qi, Yong Han, Kaicheng Huang:
Authorship Verification Based on SimCSE. 2742-2746 - Umitcan Sahin, Izzet Emre Kucukkaya, Cagri Toraman:
ARC-NLP at PAN 2023: Hierarchical Long Text Classification for Trigger Detection. 2747-2757 - Riya Sanjesh, Alamelu Mangai:
A Multi-Feature Custom Classification Approach to Authorship Verification. 2758-2762 - Marco Siino, Ilenia Tinnirello:
XLNet with Data Augmentation to Profile Cryptocurrency Influencers. 2763-2771 - Marco Siino, Maurizio Tesconi, Ilenia Tinnirello:
Profiling Cryptocurrency Influencers with Few-Shot Learning Using Data Augmentation and ELECTRA. 2772-2781 - Yunsen Su, Yong Han, Haoliang Qi:
Siamese Networks in Trigger Detection Task. 2782-2786 - Yitao Sun, Svetlana Afanaseva, Kailash Patil:
Stylometric and Neural Features Combined Deep Bayesian Classifier for Authorship Verification. 2787-2794 - Andric Valdez-Valenzuela, Jorge Alfonso Martinez Galicia, Helena Gómez-Adorno:
Heterogeneous-Graph Convolutional Network for Authorship Verification. 2795-2802 - Emilio Villa-Cueva, Jorge Miguel Valles-Silva, Adrián Pastor López-Monroy, Fernando Sánchez-Vega, Jesus Roberto López-Santillán:
Few Shot Profiling of Cryptocurrency Influencers using Natural Language Inference & Large Language Models. 2803-2816 - Zhanhong Ye, Changle Zhong, Haoliang Qi, Yong Han:
Supervised Contrastive Learning for Multi-Author Writing Style Analysis. 2817-2822
Automatic Simplification of Scientific Texts (SimpleText)
- Eric SanJuan, Stéphane Huet, Jaap Kamps, Liana Ermakova:
Overview of the CLEF 2023 SimpleText Task 1: Passage Selection for a Simplified Summary. 2823-2834 - Liana Ermakova, Hosein Azarbonyad, Sarah Bertin, Olivier Augereau:
Overview of the CLEF 2023 SimpleText Task 2: Difficult Concept Identification and Explanation. 2835-2854 - Liana Ermakova, Sarah Bertin, Helen McCombie, Jaap Kamps:
Overview of the CLEF 2023 SimpleText Task 3: Simplification of Scientific Texts. 2855-2875 - Pascal Severin Andermatt, Tobias Fankhauser:
UZH_Pandas at SimpleText@CLEF-2023: Alpaca LoRA 7B and LENS Model Selection for Scientific Literature Simplification. 2876-2898 - Aftab Anjum, Nikolaus Lieberum:
Automatic Simplification of Scientific Texts using Pre-trained Language Models: A Comparative Study at CLEF Symposium 2023. 2899-2907 - Sílvia Araújo, Micaela Aguiar:
Comparing ChatGPT's and Human Evaluation of Scientific Texts' Translations from English to Portuguese Using Popular Automated Translators. 2908-2917 - Sarah Bertin:
Scientific Simplification, the Limits of ChatGPT. 2918-2922 - Artemis Çapari, Hosein Azarbonyad, Georgios Tsatsaronis, Zubair Afzal:
Elsevier at SimpleText: Passage Retrieval by Fine-tuning GPL on Scientific Documents. 2923-2934 - Petra Dadic, Olga Popova:
CLEF 2023 SimpletText Tasks 2 and 3: Enhancing Language Comprehension: Addressing Difficult Concepts and Simplifying Scientific Texts Using GPT, BLOOM, KeyBert, Simple T5 and More. 2935-2957 - Dennis R. Davari, Antonela Prnjak, Kristina Schmitt:
CLEF2023 SimpleText Task 2, 3: Identification and Simplification of Difficult Terms. 2958-2968 - Quentin Dubreuil:
UBO Team @ CLEF SimpleText 2023 Track for Task 2 and 3 - Using IA models to simplify Scientific Texts. 2969-2978 - Óscar E. Mendoza, Gabriella Pasi:
Domain Context-centered Retrieval for the Content Selection task in the Simplification of Scientific Literature. 2979-2986 - Björn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad-Khasmakhi, Philipp Schaer:
Text Simplification of Scientific Texts for Non-Expert Readers. 2987-2998 - Running Hou, Xinyi Qin:
An Evaluation of MUSS and T5 Models in Scientific Sentence Simplification: A Comparative Study. 2999-3006 - Roos Hutter, Jop Sutmuller, Mary Adib, David Rau, Jaap Kamps:
University of Amsterdam at the CLEF 2023 SimpleText Track. 3007-3016 - Behrooz Mansouri, Shea Durgin, Sj Franklin, Sean Fletcher, Ricardo Campos:
AIIR and LIAAD Labs Systems for CLEF 2023 SimpleText. 3017-3026 - Felix Ohnesorge, Mari Ángeles Gutiérrez, Julia Plichta:
CLEF 2023: Scientific Text Simplification and General Audience. 3027-3032 - Jenny Ortiz-Zambrano, César Espin-Riofrio, Arturo Montejo-Ráez:
SINAI Participation in SimpleText Task 2 at CLEF 2023: GPT-3 in Lexical Complexity Prediction for General Audience. 3033-3044 - Victor Manuel Palma-Preciado, Carolina Palma Preciado, Grigori Sidorov:
NLPalma @ CLEF 2023 SimpleText: BLOOMZ and BERT for Complexity and Simplification Task. 3045-3049 - Darko Vujica, Iva Catipovic, Julia Komorowska:
CLEF2023 SimpleText. 3050-3056 - Shih-Hung Wu, Hong-Yi Huang:
A Prompt Engineering Approach to Scientific Text Simplification: CYUT at SimpleText2023 Task3. 3057-3064
Argument Retrieval (Touché)
- Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barrière, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, Matthias Hagen:
Overview of Touché 2023: Argument and Causal Retrieval. 3065-3089 - Jorge Avila, Álvaro Rodrigo, Roberto Centeno:
Silver Surfer team at Touché task 4: Testing Data Augmentation and Label Propagation for Multilingual Stance Detection. 3090-3097 - Daria Elagina, Bernd-Albrecht Heizmann, Max Koch, Gustav Lahmann, Christian Ortlepp:
Neville Longbottom at Touché 2023: Image Retrieval for Arguments using ChatGPT, CLIP and IBM Debater. 3098-3103 - Aron Gaden, Niklas Rausch, Bruno Reinhold, Lukas Zeit-Altpeter:
Evidence Retrieval for Causal Questions Using Query Expansion And Reranking. 3104-3110 - Max Moebius, Maximilian Enderling, Sarah T. Bachinger:
Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments. 3111-3118 - Moritz Plenz, Raphael Buchmüller, Alexander Bondarenko:
Argument Quality Prediction for Ranking Documents. 3119-3130 - Karla Schäfer:
Queen of Swords at Touché 2023: Intra-Multilingual Multi-Target Stance Classification using BERT. 3131-3138
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-03-27 23:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
