NAACL

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning

Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis

Comments NAACL 2022 - Camera ready version

GMN: Generative Multi-modal Network for Practical Document Information Extraction

Haoyu Cao, Jiefeng Ma, Antai Guo, Yiqing Hu, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

Comments Accepted to NAACL 2022 main conference

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan

Comments 14 pages, 7 figures, NAACL 2022

Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference

Emīls Kadiķis, Vaibhav Srivastav, Roman Klinger

Comments Published at NAACL 2022 at https://aclanthology.org/2022.naacl-main.441/ Please cite according to https://aclanthology.org/2022.naacl-main.441.bib

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia

Comments NAACL 2022. Omar and Keshav contributed equally to this work

ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking

Tom Ayoola, Shubhi Tyagi, Joseph Fisher, Christos Christodoulopoulos, Andrea Pierleoni

Comments Accepted at NAACL Industry Track 2022

Improving Entity Disambiguation by Reasoning over a Knowledge Base

Tom Ayoola, Joseph Fisher, Andrea Pierleoni

Comments Accepted at NAACL 2022

On the Use of External Data for Spoken Named Entity Recognition

Ankita Pasad, Felix Wu, Suwon Shon, Karen Livescu, Kyu J. Han

Comments Accepted at NAACL 2022. Codebase available at https://github.com/asappresearch/spoken-ner

CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination

Hyounghun Kim, Abhay Zala, Mohit Bansal

Comments NAACL 2022 (13 pages)

Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base

Minhao Zhang, Ruoyu Zhang, Yanzeng Li, Lei Zou

Comments NAACL 2022 Findings

SETSum: Summarization and Visualization of Student Evaluations of Teaching

Yinuo Hu, Shiyue Zhang, Viji Sathy, A. T. Panter, Mohit Bansal

Comments NAACL 2022 Demo (20 pages)

OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering

Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen

Comments NAACL 2022

Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models

Virginia K. Felkner, Ho-Chun Herbert Chang, Eugene Jang, Jonathan May

Comments Accepted to Queer in AI Workshop @ NAACL 2022. Updated 07/07 with minor typographical fixes

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

Comments Accepted at NAACL 2022

Strong Heuristics for Named Entity Linking

Marko Čuljak, Andreas Spitz, Robert West, Akhil Arora

Comments NAACL-SRW 2022

Compositional Generalization in Grounded Language Learning via Induced Model Sparsity

Sam Spilsbury, Alexander Ilin

Comments 6 pages, 7 figures. Appears in NAACL-2022 SRW. Acknowledgements: Yonatan Bisk. Code: github.com/aalto-ai/sparse-compgen

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control

Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou

Comments NAACL 2022 findings

Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia

Samee Ibraheem, Gaoyue Zhou, John DeNero

Comments NAACL 2022 Main Conference Long Paper

CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations

Jialu Li, Hao Tan, Mohit Bansal

Comments NAACL 2022 Findings (18 pages)

Probing via Prompting

Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan

Comments NAACL 2022

Disentangled Action Recognition with Knowledge Bases

Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu

Comments NAACL 2022

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation

Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou

Comments 9 pages, accepted to NAACL 2022

A Study of the Attention Abnormality in Trojaned BERTs

Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen

Comments NAACL-HLT 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages

Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi

Comments NAACL Workshop on Multilingual Information Access

Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency

Jin Liu, Chongfeng Fan, Fengyu Zhou, Huijuan Xu

Comments NAACL 2022 Findings

Meta Learning for Natural Language Processing: A Survey

Hung-yi Lee, Shang-Wen Li, Ngoc Thang Vu

Comments Accepted by NAACL 2022

Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs

Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur

Comments NAACL 2022. Please refer to https://www.amazon.science/publications/enhanced-knowledge-selection-for-grounded-dialogues-via-document-semantic-graphs for code and resources

The Case for a Single Model that can Both Generate Continuations and Fill in the Blank

Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, Chris Callison-Burch

Comments This version: fixed bug in the headers of Table 2

Journal ref NAACL 2022 Findings

Few-Shot Document-Level Relation Extraction

Nicholas Popovic, Michael Färber

Comments Published at NAACL 2022

Time Waits for No One! Analysis and Challenges of Temporal Misalignment

Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith

Comments 9 pages, 6 figures, 3 tables

Journal ref NAACL 2022