EMNLP

Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection

Dennis Fucci, Marco Gaido, Sara Papi, Mauro Cettolo, Matteo Negri, Luisa Bentivogli

Comments Accepted at EMNLP 2023

Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation

Zeyuan Yang, Peng Li, Yang Liu

Comments This paper is accepted by the EMNLP 2023 Main Conference

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction

Shiao Meng, Xuming Hu, Aiwei Liu, Shu'ang Li, Fukun Ma, Yawen Yang, Lijie Wen

Comments Accepted to EMNLP 2023

Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion

Kunze Wang, Soyeon Caren Han, Josiah Poon

Comments Findings of EMNLP 2023

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs

Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin

Comments Accepted to the EMNLP 2023 main conference

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers

Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin

Comments Accepted by EMNLP 2023

Journal ref EMNLP 2023

tagE: Enabling an Embodied Agent to Understand Human Instructions

Chayan Sarkar, Avik Mitra, Pradip Pramanick, Tapas Nayak

Comments Accepted in EMNLP Findings 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan

Comments EMNLP 2023 Findings

ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts

Lena S. Bolliger, David R. Reich, Patrick Haller, Deborah N. Jakobi, Paul Prasse, Lena A. Jäger

Comments EMNLP 2023

CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction

Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal

Comments Accepted as a Long Paper at EMNLP 2023 (Findings); 16 pages; Codes: https://github.com/nitkannen/CONTRASTE/

POE: Process of Elimination for Multiple Choice Reasoning

Chenkai Ma, Xinya Du

Comments Accepted as a short paper at EMNLP 2023

Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary

Myeongjun Erik Jang, Thomas Lukasiewicz

Comments 15 pages

Journal ref The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation

Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee

Comments Accepted at EMNLP 2023

A Joint Matrix Factorization Analysis of Multilingual Representations

Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen

Comments Accepted to Findings of EMNLP 2023

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model

Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou

Comments Accepted to EMNLP 2023 (Main Conference)

Continual Event Extraction with Semantic Confusion Rectification

Zitao Wang, Xinyi Wang, Wei Hu

Comments Accepted in the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Interpreting Answers to Yes-No Questions in User-Generated Content

Shivam Mathur, Keun Hee Park, Dhivya Chinnappa, Saketh Kotamraju, Eduardo Blanco

Comments Accepted at the Findings of EMNLP 2023

K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings

Chaewon Park, Soohwan Kim, Kyubyong Park, Kunwoo Park

Comments 15 pages, EMNLP 2023 (Findings)

Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation

Qiang Zhang, Jason Naradowsky, Yusuke Miyao

Comments Accepted in the Findings of EMNLP 2023

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions

Ting-Yao Hsu, Chieh-Yang Huang, Ryan Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang

Comments To Appear in EMNLP 2023 Findings

GD-COMET: A Geo-Diverse Commonsense Inference Model

Mehar Bhatia, Vered Shwartz

Comments Accepted to EMNLP 2023 Main Conference

Specialist or Generalist? Instruction Tuning for Specific NLP Tasks

Chufan Shi, Yixuan Su, Cheng Yang, Yujiu Yang, Deng Cai

Comments Accepted to EMNLP 2023

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses

Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, Rui Zhang

Comments Accepted by Findings of EMNLP, 2023

Probing Representations for Document-level Event Extraction

Barry Wang, Xinya Du, Claire Cardie

Comments To appear in EMNLP 2023 Findings

Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City

Mikael Brunila, Jack LaViolette, Sky CH-Wang, Priyanka Verma, Clara Féré, Grant McKenzie

Comments Accepted at EMNLP 2023 (main track)

Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling

Yuanjun Shi, Linzhi Wu, Minglai Shao

Comments Accepted to EMNLP 2023 (Main, Long Paper)

Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages

Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang

Comments 23 pages, 9 figures. Accepted at EMNLP 2023

Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study

Injy Hamed, Nizar Habash, Ngoc Thang Vu

Comments Findings of EMNLP 2023

Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards

Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah

Comments Published at: Findings of EMNLP 2023

Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention

Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut

Comments EMNLP 2023 - Findings