NAACL

Building a Personalized Dialogue System with Prompt-Tuning

Tomohito Kasahara, Daisuke Kawahara, Nguyen Tung, Shengzhe Li, Kenta Shinzato, Toshinori Sato

Comments Accepted to NAACL 2022 SRW

Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing

Melanie Rubino, Nicolas Guenon des Mesnards, Uday Shah, Nanjiang Jiang, Weiqi Sun, Konstantine Arkoudas

Comments Accepted for publication at NAACL 2022 workshop DeepLo, "Deep Learning for Low-Resource NLP"

SemAttack: Natural Textual Attacks via Different Semantic Spaces

Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li

Comments Published at Findings of NAACL 2022

Design Challenges for a Multi-Perspective Search Engine

Sihao Chen, Siyi Liu, Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth

Comments Findings of NAACL 2022 (Theme Track: Human-Centered Natural Language Processing)

Clean or Annotate: How to Spend a Limited Data Collection Budget

Derek Chen, Zhou Yu, Samuel R. Bowman

Comments 17 pages, 3 figures, 6 tables. Accepted to NAACL 2022 workshop

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Comments Accepted at NAACL 2022 (Oral)

Generate, Evaluate, and Select: A Dialogue System with a Response Evaluator for Diversity-Aware Response Generation

Ryoma Sakaeda, Daisuke Kawahara

Comments NAACL 2022 SRW Accepted

Sort by Structure: Language Model Ranking as Dependency Probing

Max Müller-Eberstein, Rob van der Goot, Barbara Plank

Comments Accepted at NAACL 2022 (Main Conference)

Defending Compositionality in Emergent Languages

Michal Auersperger, Pavel Pecina

Comments Accepted to NAACL SRW 22

CompactIE: Compact Facts in Open Information Extraction

Farima Fatahi Bayat, Nikita Bhutani, H. V. Jagadish

Comments NAACL 2022 main conference (Long paper)

Privacy Leakage in Text Classification: A Data Extraction Approach

Adel Elmahdy, Huseyin A. Inan, Robert Sim

Comments 8 pages, 4 tables. Accepted at NAACL 2022 Workshop on Privacy in NLP (PrivateNLP)

FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation

Zi-Yi Dou, Nanyun Peng

Comments NAACL 2022

Abstraction not Memory: BERT and the English Article System

Harish Tayyar Madabushi, Dagmar Divjak, Petar Milin

Comments Accepted for publication at 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). Data and code available at https://github.com/H-TayyarMadabushi/Abstraction-not-Memory-BERT-and-the-English-Article-System-NAACL-2022

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance

Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf

Comments NAACL 2022 (Oral)

Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models

Esma Balkir, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser

Comments TrustNLP Workshop at NAACL 2022

Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks

Nidhi Vakil, Hadi Amiri

Comments Long paper accepted at NAACL 2022

Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens

Itay Itzhak, Omer Levy

Comments NAACL 2022

RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction

Yuan Liang, Zhuoxuan Jiang, Di Yin, Bo Ren

Comments Accepted by NAACL 2022

Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking

Young-Ho Kim, Sungdong Kim, Minsuk Chang, Sang-Woo Lee

Comments Accepted to NAACL '22 2nd Workshop on Bridging Human-Computer Interaction and Natural Language Processing. 10 pages including appendix, 2 figures, and 1 table

Improving In-Context Few-Shot Learning via Self-Supervised Training

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva

Comments NAACL 2022

Pretrained Models for Multilingual Federated Learning

Orion Weller, Marc Marone, Vladimir Braverman, Dawn Lawrie, Benjamin Van Durme

Comments NAACL 2022

Causal Distillation for Language Models

Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman

Comments 7 pages, 2 figures

Journal ref NAACL 2022

TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation

Sajad Sotudeh, Nazli Goharian

Comments 9 pages, NAACL 2022 Long Paper

Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback

Emmy Liu, Michael Henry Tessler, Nicole Dubosh, Katherine Mosher Hiller, Roger Levy

Comments GeBNLP @ NAACL 2022

Fast and Light-Weight Answer Text Retrieval in Dialogue Systems

Hui Wan, Siva Sankalp Patel, J. William Murdock, Saloni Potdar, Sachindra Joshi

Comments Accepted in NAACL-HLT 2022 Industry Track

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu

Comments NAACL 2022 (Findings)

Neural Retriever and Go Beyond: A Thesis Proposal

Man Luo

Comments Accepted to NAACL 2022 SRW

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria

Comments NAACL 2022

Learning Open Domain Multi-hop Search Using Reinforcement Learning

Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison

Comments Accepted for publication at the Structured and Unstructured Knowledge Integration (SUKI) workshop, held at NAACL-HLT 2022

EA$^2$E: Improving Consistency with Event Awareness for Document-Level Argument Extraction

Qi Zeng, Qiusi Zhan, Heng Ji

Comments NAACL 2022 Findings