NAACL

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Abbott, Mohamed Ahmed, Millicent Ochieng, Anuoluwapo Aremu, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing Sibanda, Andiswa Bukula, Sam Manthalu

Comments Accepted to NAACL 2022 (added evaluation data for amh, kin, nya, sna, xho)

LM-CORE: Language Models with Contextually Relevant External Knowledge

Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy

Comments Published at Findings of NAACL, 2022

Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence

Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz

Comments Accepted in the Findings of NAACL 2022

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation

Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao

Journal ref Published in Findings of NAACL 2022

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate

Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser

Comments Accepted to NAACL 2022

Journal ref Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky

Comments 10 pages, 5 figures, North American Chapter of the Association for Computational Linguistics (NAACL) Workshop, Innovative Use of NLP for Building Educational Applications

Creating Reverse Bilingual Dictionaries

Khang Nhut Lam, Jugal Kalita

Comments 5 pages

Journal ref Proceedings of the 2013 conference of the North American chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 524-528. 2013

From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory

Jaron Mar, Jiamou Liu

Journal ref Findings of the Association for Computational Linguistics: NAACL (2022) 391-409

KALA: Knowledge-Augmented Language Model Adaptation

Minki Kang, Jinheon Baek, Sung Ju Hwang

Comments NAACL 2022

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context

Man Luo, Shuguang Chen, Chitta Baral

Comments Accepted to NAACL SWR 2022

Learning Cross-Lingual IR from an English Retriever

Yulong Li, Martin Franz, Md Arafat Sultan, Bhavani Iyer, Young-Suk Lee, Avirup Sil

Comments Presented at NAACL 2022 main conference Code can be found at: https://github.com/primeqa/primeqa

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation

Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao

Comments Accepted to NAACL 2022

Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation

Shumpei Inoue, Tsungwei Liu, Nguyen Hong Son, Minh-Tien Nguyen

Comments This paper was accepted by 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). It includes 10 pages, 2 figures

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation

Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang

Comments NAACL 2022 main conference

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

Comments NAACL 2022 camera-ready version. Code: https://github.com/ink-usc/sparse-distillation. In v2, we updated the performance of KD-BiLSTM baselines after fixing a bug

The Irrationality of Neural Rationale Models

Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou

Comments NAACL Workshop on Trustworthy Natural Language Processing (TrustNLP) 2022

Learning Dialogue Representations from Consecutive Utterances

Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang

Comments NAACL 2022 main conference

The Birth of Bias: A case study on the evolution of gender bias in an English language model

Oskar van der Wal, Jaap Jumelet, Katrin Schulz, Willem Zuidema

Comments Accepted at the 4th Workshop on Gender Bias in Natural Language Processing (NAACL, 2022)

Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals

Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang

Comments Accepted to NAACL 2022 Queer in AI Workshop

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner

Danilo Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew Arnold, Dan Roth

Comments published in NAACL 2022

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations

Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal

Comments NAACL 2022 (15 pages)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren

Comments Accepted at NAACL 2022; fixed Figure 7 (a)(b) in Appendix

Multilingual Event Linking to Wikidata

Adithya Pratapa, Rishubh Gupta, Teruko Mitamura

Comments Camera-ready for Multilingual Information Access workshop at NAACL 2022

PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection

Dou Hu, Mengyuan Zhou, Xiyang Du, Mengfei Yuan, Meizhi Jin, Lianxin Jiang, Yang Mo, Xiaofeng Shi

Comments 8 pages, submitted in SemEval-2022 Workshop (co-located with NAACL)

Selective Differential Privacy for Language Modeling

Weiyan Shi, Aiqi Cui, Evan Li, Ruoxi Jia, Zhou Yu

Comments NAACL 2022

A recipe for annotating grounded clarifications

Luciana Benotti, Patrick Blackburn

Comments Accepted for publication at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)

Journal ref https://aclanthology.org/2021.naacl-main.320

Re2G: Retrieve, Rerank, Generate

Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, Ankita Rajaram Naik, Pengshan Cai, Alfio Gliozzo

Comments Accepted at NAACL 2022

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions

Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo

Comments NAACL short paper, github: https://github.com/yonxie/AdvFinTweet

FRUIT: Faithfully Reflecting Updated Information in Text

Robert L. Logan, Alexandre Passos, Sameer Singh, Ming-Wei Chang

Comments v2.0, NAACL 2022

Using Paraphrases to Study Properties of Contextual Embeddings

Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea

Comments Published at NAACL 2022