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SemEval 2023: all accepted papers

318 papers · page 1 of 4 · the most cited first · ← SemEval 2023

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  1. SemEval-2023 Task 10: Explainable Detection of Online SexismHannah Kirk, Wenjie Yin, Bertie Vidgen et al.96 citations · our summary
  2. SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual SetupJakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino et al.86 citations · our summary
  3. SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2) ↗Besnik Fetahu, Sudipta Kar, Zhiyu Chen et al.47 citations
  4. SemEval-2023 Task 6: LegalEval - Understanding Legal Texts ↗Ashutosh Modi, Prathamesh Kalamkar, Saurabh Karn et al.45 citations
  5. SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments ↗Johannes Kiesel, Milad Alshomary, Nailia Mirzakhmedova et al.32 citations
  6. SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)Elisa Leonardelli, Gavin Abercrombie, Dina Almanea et al.31 citations · our summary
  7. SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data ↗Maël Jullien, Marco Valentino, Hannah Frost et al.31 citations
  8. SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) ↗Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam et al.29 citations
  9. SemEval-2023 Task 1: Visual Word Sense Disambiguation ↗Alessandro Raganato, Iacer Calixto, Asahi Ushio et al.28 citations
  10. SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis ↗Jiaxin Pei, Vítor Silva, Maarten Bos et al.26 citations
  11. SemEval-2023 Task 5: Clickbait Spoiling ↗Maik Fröbe, Benno Stein, Tim Gollub et al.19 citations
  12. LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa ↗Rahul Mehta, Vasudeva Varma15 citations
  13. NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis ↗Mingyang Wang, Heike Adel, Lukas Lange et al.15 citations
  14. UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction ↗Andrianos Michail, Stefanos Konstantinou, Simon Clematide14 citations
  15. Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation ↗Shubham Kumar Nigam, Aniket Deroy, Noel Shallum et al.11 citations
  16. DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition ↗Zeqi Tan, Shen Huang, Zixia Jia et al.10 citations
  17. Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English Data ↗Antonia Höfer, Mina Mottahedin10 citations
  18. Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification ↗Saurav Aryal, Howard Prioleau9 citations
  19. Seals_Lab at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages, Hausa and Igbo ↗Nilanjana Raychawdhary, Amit Das, Gerry Dozier et al.9 citations
  20. SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts ↗Vivek Khetan, Somin Wadhwa, Byron Wallace et al.9 citations
  21. AntContentTech at SemEval-2023 Task 6: Domain-adaptive Pretraining and Auxiliary-task Learning for Understanding Indian Legal Texts ↗Jingjing Huo, Kezun Zhang, Zhengyong Liu et al.8 citations
  22. DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation ↗Arkadiusz Modzelewski, Witold Sosnowski, Magdalena Wilczynska et al.8 citations
  23. Viettel-AI at SemEval-2023 Task 6: Legal Document Understanding with Longformer for Court Judgment Prediction with Explanation ↗Thanh Dat Hoang, Chi Minh Bui, Khac-Hoai Nam Bui8 citations
  24. Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic ↗Faiza Belbachir7 citations
  25. JCT at SemEval-2023 Tasks 12 A and 12B: Sentiment Analysis for Tweets Written in Low-resource African Languages using Various Machine Learning and Deep Learning Methods, Resampling, and HyperParameter Tuning ↗Ron Keinan, Yaakov Hacohen-Kerner7 citations
  26. LSJSP at SemEval-2023 Task 2: FTBC: A FastText based framework with pre-trained BERT for NER ↗Shilpa Chatterjee, Leo Evenss, Pramit Bhattacharyya et al.7 citations
  27. QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models ↗Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi et al.7 citations
  28. SRCB at SemEval-2023 Task 1: Prompt Based and Cross-Modal Retrieval Enhanced Visual Word Sense Disambiguation ↗Xudong Zhang, Tiange Zhen, Jing Zhang et al.7 citations
  29. SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification ↗Ben Wu, Olesya Razuvayevskaya, Freddy Heppell et al.7 citations
  30. TeamShakespeare at SemEval-2023 Task 6: Understand Legal Documents with Contextualized Large Language Models ↗Xin Jin, Yuchen Wang7 citations
  31. UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis ↗Dou Hu, Lingwei Wei, Yaxin Liu et al.7 citations
  32. Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models ↗Daniel Schroter, Daryna Dementieva, Georg Groh6 citations
  33. GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images ↗Shibingfeng Zhang, Shantanu Nath, Davide Mazzaccara6 citations
  34. HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre Classification ↗Fabian Billert, Stefan Conrad6 citations
  35. KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection ↗Timo Hromadka, Timotej Smolen, Tomas Remis et al.6 citations
  36. Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data ↗Kamal Raj Kanakarajan, Malaikannan Sankarasubbu6 citations
  37. AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa ↗Amit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya et al.5 citations
  38. Bhattacharya_Lab at SemEval-2023 Task 12: A Transformer-based Language Model for Sentiment Classification for Low Resource African Languages: Nigerian Pidgin and Yoruba ↗Nathaniel Hughes, Kevan Baker, Aditya Singh et al.5 citations
  39. Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models ↗Tugay Bilgis, Nimet Beyza Bozdag, Steven Bethard5 citations
  40. HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis ↗Saheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Ahmad Wali et al.5 citations
  41. NCUEE-NLP at SemEval-2023 Task 7: Ensemble Biomedical LinkBERT Transformers in Multi-evidence Natural Language Inference for Clinical Trial Data ↗Chao-Yi Chen, Kao-Yuan Tien, Yuan-Hao Cheng et al.5 citations
  42. NLP-LISAC at SemEval-2023 Task 12: Sentiment Analysis for Tweets expressed in African languages via Transformer-based Models ↗Abdessamad Benlahbib, Achraf Boumhidi5 citations
  43. NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset ↗Sana Al-Azzawi, György Kovács, Filip Nilsson et al.5 citations
  44. PingAnLifeInsurance at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages with Multi-Model Fusion ↗Meizhi Jin, Cheng Chen, Mengyuan Zhou et al.5 citations
  45. ResearchTeam_HCN at SemEval-2023 Task 6: A knowledge enhanced transformers based legal NLP system ↗Dhanachandra Ningthoujam, Pinal Patel, Rajkamal Kareddula et al.5 citations
  46. Silp_nlp at SemEval-2023 Task 2: Cross-lingual Knowledge Transfer for Mono-lingual Learning ↗Sumit Singh, Uma Tiwary5 citations
  47. Steno AI at SemEval-2023 Task 6: Rhetorical Role Labelling of Legal Documents using Transformers and Graph Neural Networks ↗Anshika Gupta, Shaz Furniturewala, Vijay Kumari et al.5 citations
  48. TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts ↗Yuri Noviello, Enrico Pallotta, Flavio Pinzarrone et al.5 citations
  49. YNU-HPCC at SemEval-2023 Task 6: LEGAL-BERT Based Hierarchical BiLSTM with CRF for Rhetorical Roles Prediction ↗Yu Chen, You Zhang, Jin Wang et al.5 citations
  50. iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives? ↗Nikolas Vitsakis, Amit Parekh, Tanvi Dinkar et al.5 citations
  51. APatt at SemEval-2023 Task 3: The Sapienza NLP System for Ensemble-based Multilingual Propaganda Detection ↗Antonio Purificato, Roberto Navigli4 citations
  52. Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text ↗Mutaz Younes, Ali Kharabsheh, Mohammad Bani Younes4 citations
  53. Billie-Newman at SemEval-2023 Task 5: Clickbait Classification and Question Answering with Pre-Trained Language Models, Named Entity Recognition and Rule-Based Approaches ↗Andreas Kruff, Anh Huy Tran4 citations
  54. BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data? ↗Bhavish Pahwa, Bhavika Pahwa4 citations
  55. DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning ↗Daniil Homskiy, Narek Maloyan4 citations
  56. HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial ↗Xiaofeng Zhao, Min Zhang, Miaomiao Ma et al.4 citations
  57. Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News ↗Yuta Koreeda, Ken-ichi Yokote, Hiroaki Ozaki et al.4 citations
  58. IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases ↗Iker García-Ferrero, Jon Ander Campos, Oscar Sainz et al.4 citations
  59. LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge Sources ↗Florian Schneider, Chris Biemann4 citations
  60. MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism? ↗Ehsan Tavan, Maryam Najafi4 citations
  61. Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages ↗Israel Abebe Azime, Sana Sabah Al-Azzawi, Atnafu Lambebo Tonja et al.4 citations
  62. MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models ↗Giridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger et al.4 citations
  63. Mr-wallace at SemEval-2023 Task 5: Novel Clickbait Spoiling Algorithm Using Natural Language Processing ↗Vineet Saravanan, Steven Wilson4 citations
  64. NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion Techniques ↗Neele Falk, Annerose Eichel, Prisca Piccirilli4 citations
  65. OPI at SemEval-2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation ↗Slawomir Dadas4 citations
  66. PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction ↗Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani et al.4 citations
  67. SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation ↗Sadat Shahriar, Thamar Solorio4 citations
  68. Stanford MLab at SemEval 2023 Task 7: Neural Methods for Clinical Trial Report NLI ↗Conner Takehana, Dylan Lim, Emirhan Kurtulus et al.4 citations
  69. TAM of SCNU at SemEval-2023 Task 1: FCLL: A Fine-grained Contrastive Language-Image Learning Model for Cross-language Visual Word Sense Disambiguation ↗Qihao Yang, Yong Li, Xuelin Wang et al.4 citations
  70. THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval ↗Yuxuan Zhou, Ziyu Jin, Meiwei Li et al.4 citations
  71. Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques ↗Ye Jiang4 citations
  72. UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource Languages ↗Egil Rønningstad4 citations
  73. UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages ↗José Antonio García-Díaz, Camilo Caparros-laiz, Ángela Almela et al.4 citations
  74. UO-LouTAL at SemEval-2023 Task 6: Lightweight Systems for Legal Processing ↗Sébastien Bosch, Louis Estève, Joanne Loo et al.4 citations
  75. USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER ↗Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi et al.4 citations
  76. Unisa at SemEval-2023 Task 3: A SHAP-based method for Propaganda Detection ↗Micaela Bangerter, Giuseppe Fenza, Mariacristina Gallo et al.4 citations
  77. YNUNLP at SemEval-2023 Task 2: The Pseudo Twin Tower Pre-training Model for Chinese Named Entity Recognition ↗Jing Li, Xiaobing Zhou4 citations
  78. uOttawa at SemEval-2023 Task 6: Deep Learning for Legal Text Understanding ↗Intisar Almuslim, Sean Stilwell, Surya Kiran Suresh et al.4 citations
  79. ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS) ↗Rakib Hossain Rifat, Abanti Shruti, Marufa Kamal et al.3 citations
  80. Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection Using Four Different Neural Network Architectures ↗Georgios Papadopoulos, Marko Kokol, Maria Dagioglou et al.3 citations
  81. Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language models ↗Guneet Singh Kohli, Vinayak Tiwari3 citations
  82. CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual Setup ↗Nelson Filipe Costa, Bryce Hamilton, Leila Kosseim3 citations
  83. CSECU-DSG at SemEval-2023 Task 6: Segmenting Legal Documents into Rhetorical Roles via Fine-tuned Transformer Architecture ↗Fareen Tasneem, Tashin Hossain, Jannatun Naim et al.3 citations
  84. Chick Adams at SemEval-2023 Task 5: Using RoBERTa and DeBERTa to Extract Post and Document-based Features for Clickbait Spoiling ↗Ronghao Pan, José Antonio García-Díaz, Franciso García-Sánchez et al.3 citations
  85. D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition ↗Thibault Ehrhart, Julien Plu, Raphael Troncy3 citations
  86. Ebhaam at SemEval-2023 Task 1: A CLIP-Based Approach for Comparing Cross-modality and Unimodality in Visual Word Sense Disambiguation ↗Zeinab Taghavi, Parsa Haghighi Naeini, Mohammad Ali Sadraei et al.3 citations
  87. Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and Chinese ↗Kevin Deturck, Pierre Magistry, Bénédicte Diot-Parvaz Ahmad et al.3 citations
  88. FramingFreaks at SemEval-2023 Task 3: Detecting the Category and the Framing of Texts as Subword Units with Traditional Machine Learning ↗Rosina Baumann, Sabrina Deisenhofer3 citations
  89. GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters ↗Md Mahfuz Ibn Alam, Ruoyu Xie, Fahim Faisal et al.3 citations
  90. IITD at SemEval-2023 Task 2: A Multi-Stage Information Retrieval Approach for Fine-Grained Named Entity Recognition ↗Shivani Choudhary, Niladri Chatterjee, Subir Saha3 citations
  91. IRIT_IRIS_A at SemEval-2023 Task 6: Legal Rhetorical Role Labeling Supported by Dynamic-Filled Contextualized Sentence Chunks ↗Alexandre Gomes de Lima, Jose G. Moreno, Eduardo H. da S. Aranha3 citations
  92. ITTC at SemEval 2023-Task 7: Document Retrieval and Sentence Similarity for Evidence Retrieval in Clinical Trial Data ↗Rahmad Mahendra, Damiano Spina, Karin Verspoor3 citations
  93. JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-Large ↗Kefah Alissa, Malak Abdullah3 citations
  94. JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) ↗Doaa Obeidat, Wala'a Shnaigat, Heba Nammas et al.3 citations
  95. Janko at SemEval-2023 Task 2: Bidirectional LSTM Model Based on Pre-training for Chinese Named Entity Recognition ↗Jiankuo Li, Zhengyi Guan, Haiyan Ding3 citations
  96. John Boy Walton at SemEval-2023 Task 5: An Ensemble Approach to Spoiler Classification and Retrieval for Clickbait Spoiling ↗Maksim Shmalts3 citations
  97. Jus Mundi at SemEval-2023 Task 6: Using a Frustratingly Easy Domain Adaption for a Legal Named Entity Recognition System ↗Luis Adrián Cabrera-Diego, Akshita Gheewala3 citations
  98. Kb at SemEval-2023 Task 3: On Multitask Hierarchical BERT Base Neural Network for Multi-label Persuasion Techniques Detection ↗Katarzyna Baraniak, M Sydow3 citations
  99. KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification ↗Weiqi Wang, Baixuan Xu, Tianqing Fang et al.3 citations
  100. L3I++ at SemEval-2023 Task 2: Prompting for Multilingual Complex Named Entity Recognition ↗Carlos-Emiliano Gonzalez-Gallardo, Thi Hong Hanh Tran, Nancy Girdhar et al.3 citations

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