ACL

On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach

Francisco Valentini, Germán Rosati, Damián Blasi, Diego Fernandez Slezak, Edgar Altszyler

Comments Camera Ready for ACL 2023 (main conference)

CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation

Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng

Comments Published as a conference paper at ACL 2023 (long). Code available at https://github.com/KwanWaiChung/coad

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach

Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang

Comments ACL 2023

WYWEB: A NLP Evaluation Benchmark For Classical Chinese

Bo Zhou, Qianglong Chen, Tianyu Wang, Xiaomi Zhong, Yin Zhang

Comments Accepted by ACL 2023

Journal ref https://aclanthology.org/2023.findings-acl.204

Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

Zhun Yang, Adam Ishay, Joohyung Lee

Comments 32 pages, Findings of the Association for Computational Linguistics: ACL 2023, 5186-5219

A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge

Zhecheng Sheng, Raymond Finzel, Michael Lucke, Sheena Dufresne, Maria Gini, Serguei Pakhomov

Comments Accepted to ACL 2023 DialDoc Workshop

Journal ref In Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2023, page 68-79

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization

Gangwoo Kim, Hajung Kim, Lei Ji, Seongsu Bae, Chanhwi Kim, Mujeen Sung, Hyunjae Kim, Kun Yan, Eric Chang, Jaewoo Kang

Comments Published at BioNLP workshop @ ACL 2023

Composition-contrastive Learning for Sentence Embeddings

Sachin J. Chanchani, Ruihong Huang

Comments ACL 2023

Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords

Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata Kiapour

Comments final version: accepted at ACL'23 RepL4NLP. arXiv admin note: text overlap with arXiv:2208.12367

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System

Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che, Ruifeng Xu

Comments Accepted by ACL2023 Findings

Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section

Hongyi Zheng, Yixin Zhu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann

Comments Our code is publicly available on GitHub (https://github.com/nyuolab/EfficientTransformer)

Journal ref Association for Computational Linguistics - Student Research Workshop, 2023, pages 104-108

MegaWika: Millions of reports and their sources across 50 diverse languages

Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan Boyd-Graber, Benjamin Van Durme

Comments Submitted to ACL, 2023

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zięba, Adam Gonczarek

Comments 11 pages, 3 figures, Association for Computational Linguistics

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors

Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan

Comments ACL 2023 (Findings)

An Effective Deployment of Contrastive Learning in Multi-label Text Classification

Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou

Comments Accepted by ACL-Findings 2023, 13 pages

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering

Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang

Comments Accepted by ACL 2023 (Main Conference)

Negated Complementary Commonsense using Large Language Models

Navid Rezaei, Marek Z. Reformat

Comments Appeared in Natural Language Reasoning and Structured Explanations Workshop (NLRSE) - ACL 2023

Event Extraction as Question Generation and Answering

Di Lu, Shihao Ran, Joel Tetreault, Alejandro Jaimes

Comments Accepted to ACL 2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon

Comments ACL 2023

Contrastive Decoding: Open-ended Text Generation as Optimization

Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis

Comments Main conference long paper at ACL 2023

GreenKGC: A Lightweight Knowledge Graph Completion Method

Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo

Comments Accepted to ACL2023

Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features

Ester Hlavnova, Sebastian Ruder

Comments In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics(ACL). July 2023

ISLTranslate: Dataset for Translating Indian Sign Language

Abhinav Joshi, Susmit Agrawal, Ashutosh Modi

Comments Accepted at ACL 2023 Findings, 8 Pages

VisText: A Benchmark for Semantically Rich Chart Captioning

Benny J. Tang, Angie Boggust, Arvind Satyanarayan

Comments Published at ACL 2023, 29 pages, 10 figures

UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language

Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu

Comments the 61st Annual Meeting of the Association for Computational Linguistics

U-CREAT: Unsupervised Case Retrieval using Events extrAcTion

Abhinav Joshi, Akshat Sharma, Sai Kiran Tanikella, Ashutosh Modi

Comments Accepted at ACL 2023, 15 pages (12 main + 3 Appendix)

Attribute Controlled Dialogue Prompting

Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart

Comments Accepted at ACL 2023 In Findings

Faithful Low-Resource Data-to-Text Generation through Cycle Training

Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

Comments 19 pages, 4 figures, ACL 2023

Contrastive Error Attribution for Finetuned Language Models

Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto

Comments ACL 2023

Explanation Regeneration via Information Bottleneck

Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi

Comments Accepted in ACL2023 Findings