EMNLP

Automatic Evaluation of Attribution by Large Language Models

Xiang Yue, Boshi Wang, Ziru Chen, Kai Zhang, Yu Su, Huan Sun

Comments EMNLP 2023 Findings

Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue

Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo

Comments 12 pages, Accepted in EMNLP 2022

Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models

Clara Na, Sanket Vaibhav Mehta, Emma Strubell

Comments EMNLP 2022 Findings, 28 pages

RuCoLA: Russian Corpus of Linguistic Acceptability

Vladislav Mikhailov, Tatiana Shamardina, Max Ryabinin, Alena Pestova, Ivan Smurov, Ekaterina Artemova

Comments Accepted to the EMNLP 2022 main conference

TAPE: Assessing Few-shot Russian Language Understanding

Ekaterina Taktasheva, Tatiana Shavrina, Alena Fenogenova, Denis Shevelev, Nadezhda Katricheva, Maria Tikhonova, Albina Akhmetgareeva, Oleg Zinkevich, Anastasiia Bashmakova, Svetlana Iordanskaia, Alena Spiridonova, Valentina Kurenshchikova, Ekaterina Artemova, Vladislav Mikhailov

Comments Accepted to EMNLP 2022 Findings

Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations

Ekaterina Taktasheva, Vladislav Mikhailov, Ekaterina Artemova

Comments accepted to MRL @ EMNLP 2021

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

Tatiana Shavrina, Alena Fenogenova, Anton Emelyanov, Denis Shevelev, Ekaterina Artemova, Valentin Malykh, Vladislav Mikhailov, Maria Tikhonova, Andrey Chertok, Andrey Evlampiev

Comments to appear in EMNLP 2020

NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation

Andreea Iana, Goran Glavaš, Heiko Paulheim

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

Understanding the Difficulty of Training Transformers

Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han

Comments EMNLP 2020

Extending Logic Explained Networks to Text Classification

Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Lio

Comments Accepted as short paper at the EMNLP 2022 conference

Journal ref Proceedings of the 2022 EMNLP Conference , pages 8838-8857. ACL (2022)

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence

Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, David Reitter

Comments Accepted at EMNLP 2022

Journal ref Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 9379-9393, Dec. 2022

Contrastive Demonstration Tuning for Pre-trained Language Models

Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhenru Zhang, Chuanqi Tan, Huajun Chen

Comments Accepted to EMNLP 2022(Findings)

Generative Knowledge Graph Construction: A Review

Hongbin Ye, Ningyu Zhang, Hui Chen, Huajun Chen

Comments Accepted to EMNLP 2022 (oral) and a public repository is available in https://github.com/zjunlp/Generative_KG_Construction_Papers

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen, Huajun Chen

Comments Accepted to EMNLP 2022 (Findings) and the project website is https://zjunlp.github.io/project/LREBench/

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Peng Wang, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Qiang Chen, Feiyu Xiong, Fei Huang, Guozhou Zheng, Huajun Chen

Comments Accepted by EMNLP 2022 System Demonstrations and the project website is http://deepke.zjukg.cn/

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity

Joseph Gatto, Omar Sharif, Parker Seegmiller, Philip Bohlman, Sarah Masud Preum

Comments Under review GEM@EMNLP-2023, 12 pages

FonMTL: Towards Multitask Learning for the Fon Language

Bonaventure F. P. Dossou, Iffanice Houndayi, Pamely Zantou, Gilles Hacheme

Comments Accepted at WiNLP workshop, co-located at EMNLP 2023

DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages

Gabriele Sarti, Arianna Bisazza, Ana Guerberof Arenas, Antonio Toral

Comments EMNLP 2022, materials: https://github.com/gsarti/divemt

Journal ref Proceedings of EMNLP (2022) 7795-7816

Reactive Supervision: A New Method for Collecting Sarcasm Data

Boaz Shmueli, Lun-Wei Ku, Soumya Ray

Comments 7 pages, 2 figures, 8 tables. To be published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

Journal ref Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2553-2559, 2020

CLSE: Corpus of Linguistically Significant Entities

Aleksandr Chuklin, Justin Zhao, Mihir Kale

Comments Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2022) at EMNLP 2022

Evaluating the Knowledge Dependency of Questions

Hyeongdon Moon, Yoonseok Yang, Jamin Shin, Hangyeol Yu, Seunghyun Lee, Myeongho Jeong, Juneyoung Park, Minsam Kim, Seungtaek Choi

Comments EMNLP 2022 (Main, Long)

Journal ref https://aclanthology.org/2022.emnlp-main.718

Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion

Jian Song, Di Liang, Rumei Li, Yuntao Li, Sirui Wang, Minlong Peng, Wei Wu, Yongxin Yu

Comments Accepted by Findings of EMNLP 2022

Analyzing the Limits of Self-Supervision in Handling Bias in Language

Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur

Comments Accepted at Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022

Acceptability Judgements via Examining the Topology of Attention Maps

Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

Comments Accepted to EMNLP 2022 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2022, 88-107

PaCo: Preconditions Attributed to Commonsense Knowledge

Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro Szekely

Comments EMNLP 2022 (Findings)

FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction

Lvxiaowei Xu, Jianwang Wu, Jiawei Peng, Jiayu Fu, Ming Cai

Comments Long paper, accepted at the Findings of EMNLP 2022

Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs

Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner

Comments 9 pages, Proceedings of EMNLP 2022

Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game

Dan Ofer, Dafna Shahaf

Comments Conditionally accepted in EMNLP 2022 short findings. 5 pages

Journal ref https://aclanthology.org/2022.findings-emnlp.394

Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision

Tunazzina Islam, Dan Goldwasser

Comments Accepted as a regular paper at 2022 IEEE International Conference on Big Data (IEEE BigData 2022). Also accepted at the NLP for Positive Impact (NLP4PI) workshop@EMNLP 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization

Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi

Comments EMNLP Findings 2022