NAACL

TRUE: Re-evaluating Factual Consistency Evaluation

Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias

Comments Accepted as a long paper to NAACL 2022 main conference

Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer

Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi

Comments Accepted to NAACL 2022. Our code is available at https://github.com/zhaoyanpeng/vipant

AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models

Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang

Comments NAACL 2022 Main Conference (Code: https://github.com/yueyu1030/actune)

Journal ref NAACL 2022

Efficient Hierarchical Domain Adaptation for Pretrained Language Models

Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge

Comments NAACL 2022 accepted paper camera ready version

LongT5: Efficient Text-To-Text Transformer for Long Sequences

Mandy Guo, Joshua Ainslie, David Uthus, Santiago Ontanon, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang

Comments Accepted in NAACL 2022

Massive-scale Decoding for Text Generation using Lattices

Jiacheng Xu, Siddhartha Reddy Jonnalagadda, Greg Durrett

Comments NAACL 2022, see https://github.com/jiacheng-xu/lattice-generation for code

Representation Learning for Conversational Data using Discourse Mutual Information Maximization

Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal

Comments Preprint, 15 pages, To appear in NAACL 2022 (Main)

MetaICL: Learning to Learn In Context

Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi

Comments 19 pages, 2 figures. Published as a conference paper at NAACL 2022 (long). Code available at https://github.com/facebookresearch/MetaICL

Self-Training with Differentiable Teacher

Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha

Comments NAACL 2022 (Findings)

Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES

Felix Stahlberg, Shankar Kumar

Comments NAACL 2022 paper

LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework

Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze

Comments Findings of ACL: NAACL 2022

JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering

Yueqing Sun, Qi Shi, Le Qi, Yu Zhang

Comments Accepted by NAACL 2022 main conference (Long paper)

CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training

Patrick Huber, Armen Aghajanyan, Barlas Oğuz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen

Comments 9 pages, Findings of NAACL 2022

Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection

Angelica Chen, Vicky Zayats, Daniel D. Walker, Dirk Padfield

Comments To be published at NAACL 2022

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection

Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang

Comments Findings of NAACL'22. The first two authors contribute equally

Semantically Informed Slang Interpretation

Zhewei Sun, Richard Zemel, Yang Xu

Comments Accepted as a long paper at NAACL 2022

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs

Songlin Yang, Wei Liu, Kewei Tu

Comments Accepted to NAACL 2022

Nearest Neighbor Knowledge Distillation for Neural Machine Translation

Zhixian Yang, Renliang Sun, Xiaojun Wan

Comments Accepted to NAACL 2022 Main Conference

ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach

Raghav R, Adarsh Vemali, Rajdeep Mukherjee

Comments 9 pages, accepted at SemEval 2022 (collocated with NAACL 2022)

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs

Xu Wang, Simin Fan, Jessica Houghton, Lu Wang

Comments NAACL 2022. (9 pages, 4 figures, 3 tables)

Clues Before Answers: Generation-Enhanced Multiple-Choice QA

Zixian Huang, Ao Wu, Jiaying Zhou, Yu Gu, Yue Zhao, Gong Cheng

Comments 12 pages, accepted to NAACL 2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction

Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui

Comments Long paper in NAACL 2022 main conference

Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers

Vivek Kumar, Rishabh Maheshwary, Vikram Pudi

Comments Accepted at NAACL 2022

ExSum: From Local Explanations to Model Understanding

Yilun Zhou, Marco Tulio Ribeiro, Julie Shah

Comments NAACL 2022. The project website is at https://yilunzhou.github.io/exsum/

Answer Consolidation: Formulation and Benchmarking

Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen

Comments NAACL 2022

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction

Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han

Comments Accepted by NAACL 2022

Global Entity Disambiguation with BERT

Ikuya Yamada, Koki Washio, Hiroyuki Shindo, Yuji Matsumoto

Comments NAACL 2022

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

Chenyu You, Nuo Chen, Fenglin Liu, Shen Ge, Xian Wu, Yuexian Zou

Comments In Findings of NAACL 2022. arXiv admin note: substantial text overlap with arXiv:2010.08923

Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image Retrieval

Siyu Ren, Kenny Q. Zhu

Comments Accepted by NAACL 2022 main conference

Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer

Haoran Xu, Kenton Murray

Comments Accepted at Findings of NAACL 2022