ACL

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning

Swarnadeep Saha, Prateek Yadav, Mohit Bansal

Comments ACL 2022 (19 pages)

"Does it come in black?" CLIP-like models are zero-shot recommenders

Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Goncalves

Comments Accepted at ACL 2022 (ECNLP)

A sequence-to-sequence approach for document-level relation extraction

John Giorgi, Gary D. Bader, Bo Wang

Comments Camera-ready copy for BioNLP 2022 @ ACL 2022

Improving Compositional Generalization with Self-Training for Data-to-Text Generation

Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur P. Parikh, Emma Strubell

Comments Accepted at ACL 2022 main conference

Word-Level Coreference Resolution

Vladimir Dobrovolskii

Comments Accepted to EMNLP-2021

Journal ref In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (pp. 7670-7675). Association for Computational Linguistics 2021

A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns

Johann-Mattis List, Robert Forkel, Nathan W. Hill

Comments To appear at the 3rd Workshop on Computational Approaches to Historical Language Change, co-located with the ACL 2022 conference. https://www.aclweb.org/portal/content/3rd-workshop-computational-approaches-historical-language-change

Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains

Chenyang Lyu, Jennifer Foster, Yvette Graham

Comments 14 pages, 6 figures, 29 tables, to appear at ACL 2022 Workshop on Insights from Negative Results in NLP, code available in https://github.com/lyuchenyang/Analysing-Question-Answering-Data

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model

Usman Naseem, Byoung Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn

Comments Accepted @ ACL2022 Workshop: The First Workshop on Efficient Benchmarking in NLP

MMTAfrica: Multilingual Machine Translation for African Languages

Chris C. Emezue, Bonaventure F. P. Dossou

Comments WMT Shared Task, EMNLP 2021 (version 2)

Journal ref Proceedings of the Sixth Conference on Machine Translation (2021) 398-411, Association for Computational Linguistics

Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models

Patrick Huber, Giuseppe Carenini

Comments 9 pages

Journal ref In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments

Vitthal Bhandari, Poonam Goyal

Comments 6 pages, Accepted at LT-EDI workshop ACL 2022. Camera ready version. Addressed all reviewer comments. Added Baseline methods and Ablation study

Transformer based ensemble for emotion detection

Aditya Kane, Shantanu Patankar, Sahil Khose, Neeraja Kirtane

Comments Accepted at WASSA, ACL 2022

Contextual Representation Learning beyond Masked Language Modeling

Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li

Comments ACL 2022

Fair and Argumentative Language Modeling for Computational Argumentation

Carolin Holtermann, Anne Lauscher, Simone Paolo Ponzetto

Comments ACL 2022

Low-Resource Adaptation of Open-Domain Generative Chatbots

Greyson Gerhard-Young, Raviteja Anantha, Srinivas Chappidi, Björn Hoffmeister

Comments Accepted at ACL DialDoc 2022

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation

Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Silei Xu, Monica S. Lam

Comments Published in Findings of ACL 2022, 9 pages

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Suvodip Dey, Ramamohan Kummara, Maunendra Sankar Desarkar

Comments ACL 2022 Main Conference (short paper)

A Joint Learning Approach for Semi-supervised Neural Topic Modeling

Jeffrey Chiu, Rajat Mittal, Neehal Tumma, Abhishek Sharma, Finale Doshi-Velez

Comments To appear in the 6th ACL Workshop on Structured Prediction for NLP (SPNLP)

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems

Caleb Ziems, Jane A. Yu, Yi-Chia Wang, Alon Halevy, Diyi Yang

Comments ACL 2022 main conference

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria

Comments ACL 2022

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu

Comments ACL 2022 Workshop on NLP for Conversational AI

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning

Xiang Zhou, Yixin Nie, Mohit Bansal

Comments ACL 2022 Findings (16 pages)

Towards Improving Selective Prediction Ability of NLP Systems

Neeraj Varshney, Swaroop Mishra, Chitta Baral

Comments ACL 2022 RepL4NLP Workshop

Inducing Positive Perspectives with Text Reframing

Caleb Ziems, Minzhi Li, Anthony Zhang, Diyi Yang

Comments ACL 2022 main conference

There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory

Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan

Comments Accepted by ACL 2022 (main conference). First two authors contributed equally

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang

Comments ACL 2022 Main Conference, Camera-ready version

Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension

Huibin Zhang, Zhengkun Zhang, Yao Zhang, Jun Wang, Yufan Li, Ning jiang, Xin wei, Zhenglu Yang

Comments Accepted by ACL-2022

C3KG: A Chinese Commonsense Conversation Knowledge Graph

Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Comments Accepted by ACL 2022 Findings. Our code and data could be found in https://github.com/XiaoMi/C3KG

Inferring Rewards from Language in Context

Jessy Lin, Daniel Fried, Dan Klein, Anca Dragan

Comments ACL 2022. Code and dataset: https://github.com/jlin816/rewards-from-language

Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation

Xinyi Wang, Sebastian Ruder, Graham Neubig

Comments ACL 2022