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ORCID18th SemEval@NAACL 2024: Mexico City, Mexico
- Atul Kr. Ojha, A. Seza Dogruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá:
Proceedings of the 18th International Workshop on Semantic Evaluation, SemEval@NAACL 2024, Mexico City, Mexico, June 20-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-107-0 - Pranjal Aggarwal
, Deepanshu Sachdeva:
CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text. 1-6 - Hidetsune Takahashi, Xingru Lu, Sean Ishijima, Deokgyu Seo, Yongju Kim, Sehoon Park, Min Song, Kathylene Marante, Keitaro-luke Iso, Hirotaka Tokura, Emily Öhman:
OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation. 7-12 - Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet, Senja Pollak:
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text? 13-21 - Nicolay Rusnachenko, Huizhi Liang:
nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. 22-27 - Ethan Heavey, James Alexander Hughes, Milton King:
StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers. 28-33 - Hinoki Crum, Steven Bethard:
hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English). 34-39 - Marco Siino:
T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data. 40-46 - Yuming Fan, Dongming Yang, Xu He:
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment. 47-52 - Marco Siino:
McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In Memes. 53-59 - Areeg Fahad Rasheed, M. Zarkoosh:
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification. 60-63 - Jiaxu Dao, Zhuoying Li, Youbang Su, Wensheng Gong:
Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection. 64-69 - Jiaxu Dao, Zhuoying Li, Xiuzhong Tang, Xiaoli Lan, Junde Wang:
Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference. 70-75 - Kiet Nguyen Tuan, Thin Dang Van:
NRK at SemEval-2024 Task 1: Semantic Textual Relatedness through Domain Adaptation and Ensemble Learning on BERT-based models. 76-81 - Marco Siino:
BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakes. 82-87 - Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De:
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness. 88-94 - Yves Bestgen:
SATLab at SemEval-2024 Task 1: A Fully Instance-Specific Approach for Semantic Textual Relatedness Prediction. 95-100 - Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador:
Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features. 101-107 - Mattia Opper, Siddharth Narayanaswamy:
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less. 108-115 - Abir Chakraborty:
RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention Network. 116-122 - Victoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola, Lydia Bryan-Smith, Oyinkansola Onwuchekwa, Nina Dethlefs:
BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge. 123-132 - Abu Nowhash Chowdhury, Michal Ptaszynski:
nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes. 133-138 - Zahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi, Zeinab Taghavi, Hossein Sameti:
HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes. 139-147 - Zahra Rahimi, Mohammad Moein Shirzady, Zeinab Taghavi, Hossein Sameti:
NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense. 148-154 - Marco Siino:
Mistral at SemEval-2024 Task 5: Mistral 7B for argument reasoning in Civil Procedure. 155-162 - Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang:
NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. 163-169 - Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub:
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing. 170-174 - Kota Shamanth Ramanath Nayak, Leila Kosseim:
CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes - An Ensemble of Language Models with Paraphrase Augmentation. 175-180 - Yuhang Zhu:
RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in Memes. 181-187 - Saheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Aliyu Yusuf, Amina Abubakar Imam, Lukman Jibril Aliyu, Nur Bala Rabiu, Mahmoud Said Ahmad, Aliyu Rabiu Shuaibu, Alamin Musa:
HausaNLP at SemEval-2024 Task 1: Textual Relatedness Analysis for Semantic Representation of Sentences. 188-192 - M. Manvith Prabhu, Haricharana Srinivasa, Anand Kumar:
SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text. 193-199 - Abdelhak Kelious, Mounir Okirim:
Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT. 200-205 - Vineet Saravanan, Steven Wilson:
OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs. 206-212 - Abdessamad Benlahbib, Anass Fahfouh, Hamza Alami, Achraf Boumhidi:
NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual Relatedness. 213-217 - Zhen Qian, Xiaofei Xu, Xiuzhen Zhang:
ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning. 218-223 - Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi:
BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. 224-232 - Qi Yang, Jingjie Zeng, Liang Yang, Hongfei Lin:
yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges. 233-238 - Marco Siino:
BadRock at SemEval-2024 Task 8: DistilBERT to Detect Multigenerator, Multidomain and Multilingual Black-Box Machine-Generated Text. 239-245 - Fahad Ebrahim, Mike Joy:
WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual Relatedness. 246-252 - Thanet Markchom, Subin Jung, Huizhi Liang:
NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT. 253-260 - Junzhe Zhao, Yingxi Wang, Huizhi Liang, Nicolay Rusnachenko:
NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation. 261-269 - Cheolyeon Byun:
Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation. 270-273 - Ivan Maksimov, Vasily Konovalov, Andrei Glinskii:
DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based Models. 274-278 - Partha Sengupta, Sandip Sarkar, Dipankar Das:
HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models. 279-284 - Shu Li, Zicen Liao, Huizhi Liang:
NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations. 285-290 - Marco Siino:
DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense. 291-297 - Marco Siino:
TransMistral at SemEval-2024 Task 10: Using Mistral 7B for Emotion Discovery and Reasoning its Flip in Conversation. 298-304 - Yu-an Lu, Hung-Yu Kao:
0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task. 305-310 - Wei Tian, Peiyu Ji, Lei Zhang, Yue Jian:
TW-NLP at SemEval-2024 Task10: Emotion Recognition and Emotion Reversal Inference in Multi-Party Dialogues. 311-315 - Josef Baloun, Jirí Martínek, Ladislav Lenc, Pavel Král, Matej Zeman, Lukás Vlcek:
UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis. 316-325 - Vy Nguyen, Xiuzhen Zhang:
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs. 326-336 - Lianshuang Su, Xiaobing Zhou:
NLP_STR_teamS at SemEval-2024 Task1: Semantic Textual Relatedness based on MASK Prediction and BERT Model. 337-341 - Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models. 342-348 - Zining Wang, Yanchao Zhao, Guanghui Han, Yang Song:
QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction Task. 349-353 - Bao Tran, Nhi Tran:
NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection. 354-360 - Hidetsune Takahashi:
Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence Prediction. 361-364 - Ankit Vaidya, Aditya Gokhale, Arnav Desai, Ishaan Shukla, Sheetal Sonawane:
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish. 365-369 - Hidetsune Takahashi:
Hidetsune at SemEval-2024 Task 4: An Application of Machine Learning to Multilingual Propagandistic Memes Identification Using Machine Translation. 370-373 - Hidetsune Takahashi:
Hidetsune at SemEval-2024 Task 10: An English Based Approach to Emotion Recognition in Hindi-English code-mixed Conversations Using Machine Learning and Machine Translation. 374-378 - Marco Siino:
All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness. 379-384 - Yu-an Lu, Hung-Yu Kao:
0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured Prompts. 385-390 - Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek, Niels Top, Yuwen Zhou:
Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text Detection. 391-398 - Lujia Cao, Ece Lara Kilic, Katharina Will:
Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated Text. 399-402 - Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu:
Team Unibuc - NLP at SemEval-2024 Task 8: Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection. 403-411 - Mihaela Alexandru, Calina Ciocoiu, Ioana Maniga, Octavian Ungureanu, Daniela Gîfu, Diana Trandabat:
LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation. 412-419 - Ron Keinan:
Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models. 420-431 - Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi, Hamid Tairi:
USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert. 432-436 - Clément Brutti-Mairesse, Loïc Verlingue:
CRCL at SemEval-2024 Task 2: Simple prompt optimizations. 437-442 - Ion Anghelina, Gabriel Buta, Alexandru Enache:
SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers. 443-449 - Mohammad Heydari Rad, Farhan Farsi, Shayan Bali, Romina Etezadi, Mehrnoush Shamsfard:
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts. 450-454 - Arthur B. Vasconcelos, Luiz Felipe De Melo, Eduardo Corrêa Gonçalves, Eduardo Bezerra, Aline Paes, Alexandre Plastino:
BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies? 455-462 - Xiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang:
Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text. 463-470 - Jie Wang, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks. 471-476 - Joseph Larson, Francis Tyers:
Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text. 477-484 - Shubhashis Roy Dipta, Sadat Shahriar:
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? 485-491 - Yuchen Wei:
Team AT at SemEval-2024 Task 8: Machine-Generated Text Detection with Semantic Embeddings. 492-496 - Xinyi Liu, Xintong Liu, Hengyang Lu:
JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation. 497-502 - Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models. 503-510 - Ram Mohan Rao Kadiyala:
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts. 511-519 - Spandan Das, Vinay Samuel, Shahriar Noroozizadeh:
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis. 520-529 - Binjie Sun, Xiaobing Zhou:
ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning. 530-535 - Shen Zhang, Haojie Zhang, Jing Zhang, Xudong Zhang, Yimeng Zhuang, Jinting Wu:
Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations. 536-546 - Youlin Wu, Kaichun Wang, Kai Ma, Liang Yang, Hongfei Lin:
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning. 547-552 - Antony Rajesh, Supriya Abirami, Aravindan Chandrabose, Senthil Kumar:
SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. 553-557 - Michal Spiegel, Dominik Macko:
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection. 558-564 - Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani, Arian Qazvini, Pouya Sadeghi, Zeinab Taghavi, Hossein Sameti:
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text. 565-572 - Nihed Bendahman, Karen Pinel-Sauvagnat, Gilles Hubert, Mokhtar Billami:
IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? 573-578 - Tsz-Yeung Lau, Shih-Hung Wu:
CYUT at SemEval-2024 Task 7: A Numerals Augmentation and Feature Enhancement Approach to Numeral Reading Comprehension. 579-585 - Marius Micluta-Câmpeanu, Claudiu Creanga, Ana-Maria Bucur, Ana Sabina Uban, Liviu P. Dinu:
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI. 586-595 - Katarina Laken:
Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot setting. 596-601 - Julia Wunderle, Julian Schubert, Antonella Cacciatore, Albin Zehe, Jan Pfister, Andreas Hotho:
OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models. 602-612 - Duygu Altinok:
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models. 613-627 - Shiyi Li, Yike Wang, Liang Yang, Shaowu Zhang, Hongfei Lin:
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection. 628-633 - Abhay Shanbhag, Suramya Jadhav, Shashank Rathi, Siddhesh Pande, Dipali Kadam:
Innovators at SemEval-2024 Task 10: Revolutionizing Emotion Recognition and Flip Analysis in Code-Mixed Texts. 634-641 - Erchen Yu, Junlong Wang, Xuening Qiao, Jiewei Qi, Zhaoqing Li, Hongfei Lin, Linlin Zong, Bo Xu:
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. 642-648 - Claudiu Creanga, Liviu P. Dinu:
ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations. 649-654 - Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models. 655-666 - Zebang Cheng, Fuqiang Niu, Yuxiang Lin, Zhi-Qi Cheng, Xiaojiang Peng, Bowen Zhang:
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models. 667-674 - Ronghao Pan, José Antonio García-Díaz, Tomás Bernal-Beltrán, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes. 675-681 - Bhuvanesh Verma, Lisa Raithel:
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training. 682-696 - Ronghao Pan, José Antonio García-Díaz, Pedro José Vivancos Vicente, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection. 697-702 - Ronghao Pan, José Antonio García-Díaz, Diego Roldán, Rafael Valencia-García:
UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers. 703-709 - Xiaoyan Qu, Xiangfeng Meng:
TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text. 710-715 - Pawan Rajpoot, Nut Chukamphaeng:
Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization. 716-720 - Ze Chen, Chengcheng Wei, Songtan Fang, Jiarong He, Max Gao:
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data. 721-729 - Rohith Arumugam S, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee Thankanadar:
SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF. 730-736 - Veronika Smilga, Hazem Alabiad:
TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI. 737-744 - Zuhair Hasan Shaik, Dhivya Prasanna, Enduri Jahnavi, Rishi Thippireddy, Vamsi Madhav, Sunil Saumya, Shankar Biradar:
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations. 745-756 - Peng Shi, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 5: Regularized Legal-BERT for Legal Argument Reasoning Task in Civil Procedure. 757-762 - Ravindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah, Mirnalinee Thankanadar, Milton R. S:
TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations. 763-769 - Hongyu Guo, Xueyao Zhang, Yiyang Chen, Lin Deng, Binyang Li:
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations. 770-776 - Chenyi Liang, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task10: Pre-trained Language Model for Emotion Discovery and Reasoning its Flip in Conversation. 777-784 - Rengui Zhang, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 2: Applying DeBERTa-v3-large to Safe Biomedical Natural Language Inference for Clinical Trials. 785-791 - Weijie Li, Jin Wang, Xuejie Zhang:
YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness. 792-799 - Miaoran Zhang, Mingyang Wang, Jesujoba Alabi, Dietrich Klakow:
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness. 800-810 - Dilip Venkatesh, Pasunti Prasanjith,