EMNLP

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

Isidora Chara Tourni, Lei Guo, Hengchang Hu, Edward Halim, Prakash Ishwar, Taufiq Daryanto, Mona Jalal, Boqi Chen, Margrit Betke, Fabian Zhafransyah, Sha Lai, Derry Tanti Wijaya

Comments published at Findings of the Association for Computational Linguistics: EMNLP 2021

The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario

Carlos Gómez-Rodríguez, Paul Williams

Comments Published in the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA), 2024. Summary of our paper "A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing";, published in Findings of EMNLP

Journal ref XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024), pages 225-226. ISBN 978-84-09-62724-0

Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance

Omer Goldman, Avi Caciularu, Matan Eyal, Kris Cao, Idan Szpektor, Reut Tsarfaty

Comments EMNLP 2024, Findings

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

Comments Findings of EMNLP 2023

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification

Simon Yu, Jie He, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Comments 18 pages; 10 figures. Published as a conference paper at EMNLP 2023 Findings (Long Paper). Code and data available at https://github.com/simonucl/HJCL

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models

Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen

Comments Accepted by EMNLP 2023

Learning Translations via Matrix Completion

Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch

Comments This is a late posting of an old paper as Google Scholar somehow misses indexing the ACL anthology version of the paper

Journal ref Volume: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Year: 2017, Pages: 1452-1463

UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models

Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong

Comments Submitted for EMNLP 2024

Outliers Dimensions that Disrupt Transformers Are Driven by Frequency

Giovanni Puccetti, Anna Rogers, Aleksandr Drozd, Felice Dell'Orletta

Comments To appear in Findings of EMNLP 2022

Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations

Yoonna Jang, Suhyune Son, Jeongwoo Lee, Junyoung Son, Yuna Hur, Jungwoo Lim, Hyeonseok Moon, Kisu Yang, Heuiseok Lim

Comments Accepted at EMNLP 2023

HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies

William Watson, Nicole Cho, Tucker Balch, Manuela Veloso

Comments In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (2023) 7144-7159

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

Bruce W. Lee, Yoo Sung Jang, Jason Hyung-Jong Lee

Comments EMNLP 2021

RTF: Region-based Table Filling Method for Relational Triple Extraction

Ning An, Lei Hei, Yong Jiang, Weiping Meng, Jingjing Hu, Boran Huang, Feiliang Ren

Comments Rejected by EMNLP 2023

Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions

Ziyue Wang, Chi Chen, Peng Li, Yang Liu

Comments Accepted to EMNLP2023 Findings

Journal ref https://aclanthology.org/2023.findings-emnlp.189/

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark

Dominik Macko, Robert Moro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matúš Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Maria Bielikova

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Multilingual Previously Fact-Checked Claim Retrieval

Matúš Pikuliak, Ivan Srba, Robert Moro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Maria Bielikova

Comments Accepted at EMNLP 2023

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Extracting Event Temporal Relations via Hyperbolic Geometry

Xingwei Tan, Gabriele Pergola, Yulan He

Comments Accepted by EMNLP 2021, 9 pages + 4 pages (References and Appendix)

DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization

Chengang Hu, Xiao Liu, Yansong Feng

Comments EMNLP 2023 long paper

Cross-modality Data Augmentation for End-to-End Sign Language Translation

Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong

Comments Update according to the feedback from the EMNLP 2023 poster

Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models

Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Zhenhailong Wang, Heng Ji

Comments Accepted to Findings of EMNLP 2023

Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification

Jungmin Yun, Mihyeon Kim, Youngbin Kim

Comments Accepted to EMNLP 2023 Findings

All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media

Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

Comments 11 pages, accepted in the 2017 conference on Empirical Methods on Natural Language Processing(EMNLP 2017) arXiv admin note: substantial text overlap with arXiv:1703.05122

On the Representational Capacity of Recurrent Neural Language Models

Franz Nowak, Anej Svete, Li Du, Ryan Cotterell

Comments Added requirement for non-negative probabilities to definitions 2.3 and 3.1, fixed typos

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 7011-7034

Joint Lemmatization and Morphological Tagging with LEMMING

Thomas Muller, Ryan Cotterell, Alexander Fraser, Hinrich Schütze

Comments EMNLP 2015; Honorable Mention for Best Short Paper

Speakers Fill Lexical Semantic Gaps with Context

Tiago Pimentel, Rowan Hall Maudslay, Damián Blasi, Ryan Cotterell

Comments Camera ready version of EMNLP 2020 publication. Code is available in https://github.com/tpimentelms/lexical-ambiguity-in-context

Revisiting Meta-evaluation for Grammatical Error Correction

Masamune Kobayashi, Masato Mita, Mamoru Komachi

Comments Accepted to TACL; Presented at EMNLP 2024

Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models

Alejo Lopez-Avila, Víctor Suárez-Paniagua

Comments 1 figure, 7 tables, 12 pages

Journal ref emnlp main, 2023, pages 2021 to 2032

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation

Francisco Vargas, Ryan Cotterell

Comments Fixed a few typos and cleaned up notation

Journal ref Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations

Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi

Comments Camera Ready EMNLP Findings 2023. First two authors contributed equally

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Sina J. Semnani, Violet Z. Yao, Heidi C. Zhang, Monica S. Lam

Comments Findings of EMNLP 2023