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SemEval 2023: all accepted papers

318 papers · page 2 of 4 · the most cited first · ← SemEval 2023

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  1. LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings ↗Pavan Baswani, Hiranmai Sri Adibhatla, Manish Shrivastava3 citations
  2. MDC at SemEval-2023 Task 7: Fine-tuning Transformers for Textual Entailment Prediction and Evidence Retrieval in Clinical Trials ↗Robert Bevan, Oisín Turbitt, Mouhamad Aboshokor3 citations
  3. MELODI at SemEval-2023 Task 3: In-domain Pre-training for Low-resource Classification of News Articles ↗Nicolas Devatine, Philippe Muller, Chloé Braud3 citations
  4. ML Mob at SemEval-2023 Task 5: “Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait” ↗Hannah Sterz, Leonard Bongard, Tobias Werner et al.3 citations
  5. MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning ↗Qisheng Liao, Meiting Lai, Preslav Nakov3 citations
  6. Matt Bai at SemEval-2023 Task 5: Clickbait spoiler classification via BERT ↗Nukit Tailor, Radhika Mamidi3 citations
  7. NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach ↗Deepali Jain, Malaya Dutta Borah, Anupam Biswas3 citations
  8. NLPeople at SemEval-2023 Task 2: A Staged Approach for Multilingual Named Entity Recognition ↗Mohab Elkaref, Nathan Herr, Shinnosuke Tanaka et al.3 citations
  9. OPI PIB at SemEval-2023 Task 1: A CLIP-based Solution Paired with an Additional Word Context Extension ↗Małgorzata Grębowiec3 citations
  10. RIGA at SemEval-2023 Task 2: NER Enhanced with GPT-3 ↗Eduards Mukans, Guntis Barzdins3 citations
  11. Rahul Patil at SemEval-2023 Task 1: V-WSD: Visual Word Sense Disambiguation ↗Rahul Patil, Pinal Patel, Charin Patel et al.3 citations
  12. Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments ↗Sougata Saha, Rohini Srihari3 citations
  13. SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers ↗Sriya Rallabandi, Sanchit Singhal, Pratinav Seth3 citations
  14. Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports ↗Juraj Vladika, Florian Matthes3 citations
  15. StFX NLP at SemEval-2023 Task 1: Multimodal Encoding-based Methods for Visual Word Sense Disambiguation ↗Yuchen Wei, Milton King3 citations
  16. Team ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset ↗Alina Hancharova, John Wang, Mayank Kumar3 citations
  17. TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection ↗Amalie Pauli, Rafael Sarabia, Leon Derczynski et al.3 citations
  18. UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation ↗Michael Ogezi, Bradley Hauer, Talgat Omarov et al.3 citations
  19. UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis ↗Abdelkader El Mahdaouy, Hamza Alami, Salima Lamsiyah et al.3 citations
  20. University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation ↗Michael Sullivan, Mohammed Yasin, Cassandra L. Jacobs3 citations
  21. YNU-HPCC at SemEval-2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data Based a BioBERT Model ↗Chao Feng, Jin Wang, Xuejie Zhang3 citations
  22. lasigeBioTM at SemEval-2023 Task 7: Improving Natural Language Inference Baseline Systems with Domain Ontologies ↗Sofia I. R. Conceição, Diana F. Sousa, Pedro Silvestre et al.3 citations
  23. mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection ↗Markus Reiter-Haas, Alexander Ertl, Kevin Innerebner et al.3 citations
  24. nancy-hicks-gribble at SemEval-2023 Task 5: Classifying and generating clickbait spoilers with RoBERTa ↗Jüri Keller, Nicolas Rehbach, Ibrahim Zafar3 citations
  25. ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection ↗Philipp Heinisch, Moritz Plenz, Anette Frank et al.2 citations
  26. Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait ↗Mateusz Woźny, Mateusz Lango2 citations
  27. Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion ↗Jie Li, Yow-Ting Shiue, Yong-Siang Shih et al.2 citations
  28. Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE ↗Alfio Ferrara, Sergio Picascia, Elisabetta Rocchetti2 citations
  29. CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation Strategies ↗Micha Marcińczuk, Wiktor Walentynowicz2 citations
  30. DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset ↗Samuel Akrah, Ted Pedersen2 citations
  31. Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions ↗Christian Fang, Qixiang Fang, Dong Nguyen2 citations
  32. FII SMART at SemEval 2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data ↗Mihai Volosincu, Cosmin Lupu, Diana Trandabat et al.2 citations
  33. FTD at SemEval-2023 Task 3: News Genre and Propaganda Detection by Comparing Mono- and Multilingual Models with Fine-tuning on Additional Data ↗Mikhail Lepekhin, Serge Sharoff2 citations
  34. Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments ↗Kenan Hasanaliyev, Kevin Li, Saanvi Chawla et al.2 citations
  35. GunadarmaXBRIN at SemEval-2023 Task 12: Utilization of SVM and AfriBERTa for Monolingual, Multilingual, and Zero-shot Sentiment Analysis in African Languages ↗Novitasari Arlim, Slamet Riyanto, Rodiah Rodiah et al.2 citations
  36. HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model ↗Yao Zhang, Liqing Wang2 citations
  37. HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy ↗Ziyi Yao, Heyan Chai, Jinhao Cui et al.2 citations
  38. HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media ↗Isabel Segura-Bedmar2 citations
  39. HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis ↗Isabel Segura-Bedmar2 citations
  40. I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data ↗Saravanan Rajamanickam, Kanagasabai Rajaraman2 citations
  41. IRIT_IRIS_C at SemEval-2023 Task 6: A Multi-level Encoder-based Architecture for Judgement Prediction of Legal Cases and their Explanation ↗Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki2 citations
  42. Jack-flood at SemEval-2023 Task 5:Hierarchical Encoding and Reciprocal Rank Fusion-Based System for Spoiler Classification and Generation ↗Sujit Kumar, Aditya Sinha, Soumyadeep Jana et al.2 citations
  43. John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification ↗Georgios Balikas2 citations
  44. LRL_NC at SemEval-2023 Task 6: Sequential Sentence Classification for Legal Documents Using Topic Modeling Features ↗Kushagri Tandon, Niladri Chatterjee2 citations
  45. Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents ↗Junzhe Zhao, Yingxi Wang, Nicolay Rusnachenko et al.2 citations
  46. Lexicools at SemEval-2023 Task 10: Sexism Lexicon Construction via XAI ↗Pakawat Nakwijit, Mahmoud Samir, Matthew Purver2 citations
  47. MEERQAT-IRIT at SemEval-2023 Task 2: Leveraging Contextualized Tag Descriptors for Multilingual Named Entity Recognition ↗Jesus Lovon-Melgarejo, Jose G. Moreno, Romaric Besançon et al.2 citations
  48. MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement ↗Giulia Rizzi, Alessandro Astorino, Daniel Scalena et al.2 citations
  49. ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense Disambiguation ↗Clifton Poth, Martin Hentschel, Tobias Werner et al.2 citations
  50. Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification ↗Che Zhang, Ping'an Liu, Zhenyang Xiao et al.2 citations
  51. NITK_LEGAL at SemEval-2023 Task 6: A Hierarchical based system for identification of Rhetorical Roles in legal judgements ↗Patchipulusu Sindhu, Diya Gupta, Sanjeevi Meghana et al.2 citations
  52. NLP_CHRISTINE at SemEval-2023 Task 10: Utilizing Transformer Contextual Representations and Ensemble Learning for Sexism Detection on Social Media Texts ↗Christina Christodoulou2 citations
  53. NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection ↗Genglin Liu, Yi Fung, Heng Ji2 citations
  54. PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module ↗Long Ma, Zeye Sun, Jiawei Jiang et al.2 citations
  55. PCJ at SemEval-2023 Task 10: A Ensemble Model Based on Pre-trained Model for Sexism Detection and Classification in English ↗Chujun Pu, Xiaobing Zhou2 citations
  56. PMCoders at SemEval-2023 Task 1: RAltCLIP: Use Relative AltCLIP Features to Rank ↗Mohammad Javad Pirhadi, Motahhare Mirzaei, Mohammad Reza Mohammadi et al.2 citations
  57. PingAnLifeInsurance at SemEval-2023 Task 10: Using Multi-Task Learning to Better Detect Online Sexism ↗Mengyuan Zhou2 citations
  58. ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features ↗Fatima Zahra Qachfar, Rakesh Verma2 citations
  59. SKAM at SemEval-2023 Task 10: Linguistic Feature Integration and Continuous Pretraining for Online Sexism Detection and Classification ↗Murali Manohar Kondragunta, Amber Chen, Karlo Slot et al.2 citations
  60. SRCB at SemEval-2023 Task 2: A System of Complex Named Entity Recognition with External Knowledge ↗Yuming Zhang, Hongyu Li, Yongwei Zhang et al.2 citations
  61. SUT at SemEval-2023 Task 1: Prompt Generation for Visual Word Sense Disambiguation ↗Omid Ghahroodi, Seyed Arshan Dalili, Sahel Mesforoush et al.2 citations
  62. SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection ↗Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy et al.2 citations
  63. Sam Miller at SemEval-2023 Task 5: Classification and Type-specific Spoiler Extraction Using XLNET and Other Transformer Models ↗Pia Störmer, Tobias Esser, Patrick Thomasius2 citations
  64. Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia ↗Amir Sartipi, Amirreza Sedighin, Afsaneh Fatemi et al.2 citations
  65. Sefamerve at SemEval-2023 Task 12: Semantic Evaluation of Rarely Studied Languages ↗Selman Delil, Birol Kuyumcu2 citations
  66. SzegedAI at SemEval-2023 Task 1: Applying Quasi-Symbolic Representations in Visual Word Sense Disambiguation ↗Gábor Berend2 citations
  67. Team INF-UFRGS at SemEval-2023 Task 7: Supervised Contrastive Learning for Pair-level Sentence Classification and Evidence Retrieval ↗Abel C. Dias, Filipe F. Dias, Higor Moreira et al.2 citations
  68. Team JUSTR00 at SemEval-2023 Task 3: Transformers for News Articles Classification ↗Ahmed Al-Qarqaz, Malak Abdullah2 citations
  69. UM6P at SemEval-2023 Task 3: News genre classification based on transformers, graph convolution networks and number of sentences ↗Hamza Alami, Abdessamad Benlahbib, Abdelkader El Mahdaouy et al.2 citations
  70. UMUTeam at SemEval-2023 Task 11: Ensemble Learning applied to Binary Supervised Classifiers with disagreements ↗José Antonio García-Díaz, Ronghao Pan, Gema Alcaráz-Mármol et al.2 citations
  71. UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News ↗Juan Cuadrado, Elizabeth Martinez, Anderson Morillo et al.2 citations
  72. UniBoe's at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist Posts ↗Arianna Muti, Francesco Fernicola, Alberto Barrón-Cedeño2 citations
  73. Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin Tweets ↗Annika Kniele, Meriem Beloucif2 citations
  74. VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity Recognition ↗Quang-Minh Tran, Xuan-Dung Doan2 citations
  75. WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy Analysis ↗Qinyuan Zheng2 citations
  76. azaad@BND at SemEval-2023 Task 2: How to Go from a Simple Transformer Model to a Better Model to Get Better Results in Natural Language Processing ↗Reza Ahmadi, Shiva Arefi, Mohammad Jafarabad2 citations
  77. nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation ↗Nicolay Rusnachenko, Thanet Markchom, Huizhi Liang2 citations
  78. teamPN at SemEval-2023 Task 1: Visual Word Sense Disambiguation Using Zero-Shot MultiModal Approach ↗Nikita Katyal, Pawan Rajpoot, Subhanandh Tamilarasu et al.2 citations
  79. ABCD Team at SemEval-2023 Task 12: An Ensemble Transformer-based System for African Sentiment Analysis ↗Dang Van Thin, Dai Ba Nguyen, Dang Ba Qui et al.1 citation
  80. AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning ↗Adam Rydelek, Daryna Dementieva, Georg Groh1 citation
  81. Appeal for Attention at SemEval-2023 Task 3: Data augmentation extension strategies for detection of online news persuasion techniques ↗Sergiu Amihaesei, Laura Cornei, George Stoica1 citation
  82. Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T ↗Nimet Beyza Bozdag, Tugay Bilgis, Steven Bethard1 citation
  83. BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter? ↗Tarek Mahmoud, Preslav Nakov1 citation
  84. Bf3R at SemEval-2023 Task 7: a text similarity model for textual entailment and evidence retrieval in clinical trials and animal studies ↗Mariana Neves1 citation
  85. Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling ↗Anubhav Sharma, Sagar Joshi, Tushar Abhishek et al.1 citation
  86. Brooke-English at SemEval-2023 Task 5: Clickbait Spoiling ↗Shirui Tang1 citation
  87. CAIR-NLP at SemEval-2023 Task 2: A Multi-Objective Joint Learning System for Named Entity Recognition ↗Sangeeth N, Biswajit Paul, Chandramani Chaudhary1 citation
  88. CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification ↗Akbar Karimi, Lucie Flek1 citation
  89. CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di) ↗Dennis Grötzinger, Simon Heuschkel, Matthias Drews1 citation
  90. CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis ↗Harish B, Naveen D, Prem Balasubramanian et al.1 citation
  91. CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions ↗Janis Goldzycher1 citation
  92. CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE! ↗Advaitha Vetagiri, Prottay Adhikary, Partha Pakray et al.1 citation
  93. CPIC at SemEval-2023 Task 7: GPT2-Based Model for Multi-evidence Natural Language Inference for Clinical Trial Data ↗Mingtong Huang, Junxiang Ren, Lang Liu et al.1 citation
  94. ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual Transformers ↗Tanmay Chavan, Ved Patwardhan1 citation
  95. Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss ↗Letian Peng, Bosung Kim1 citation
  96. Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait Spoiling ↗Dragos-stefan Mihalcea, Sergiu Nisioi1 citation
  97. Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism ↗Kangshuai Guo, Ruipeng Ma, Shichao Luo et al.1 citation
  98. DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis ↗Giorgos Arampatzis, Vasileios Perifanis, Symeon Symeonidis et al.1 citation
  99. Diane Simmons at SemEval-2023 Task 5: Is it possible to make good clickbait spoilers using a Zero-Shot approach? Check it out! ↗Niels Krog, Manex Agirrezabal1 citation
  100. Dragonfly_captain at SemEval-2023 Task 11: Unpacking Disagreement with Investigation of Annotator Demographics and Task Difficulty ↗Ruyuan Wan, Karla Badillo-Urquiola1 citation

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