NAACL

Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog

Chia-Chien Hung, Anne Lauscher, Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš

Comments NAACL 2022

On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation

Yongjie Wang, Chuan Wang, Ruobing Li, Hui Lin

Comments Accepted to NAACL 2022 as a long paper

Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning

Hongyi Yuan, Zheng Yuan, Sheng Yu

Comments Accepted by NAACL 2022

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding

Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah

Comments Accepted to NAACL 2022 (Long Paper)

LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification

Irene Li, Aosong Feng, Hao Wu, Tianxiao Li, Toyotaro Suzumura, Ruihai Dong

Comments 8 tables, 3 figures

Journal ref DLG4NLP Workshop, NAACL 2022

You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas

Haoran Li, Yangqiu Song, Lixin Fan

Comments Conference paper accepted by NAACL 2022

Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

Ruixiang Cui, Daniel Hershcovich, Anders Søgaard

Comments To appear at NAACL 2022

A Baseline Readability Model for Cebuano

Lloyd Lois Antonie Reyes, Michael Antonio Ibañez, Ranz Sapinit, Mohammed Hussien, Joseph Marvin Imperial

Comments Accepted to BEA Workshop at NAACL 2022

Proposition-Level Clustering for Multi-Document Summarization

Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

Comments NAACl 2022

Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models

Tejas Srinivasan, Yonatan Bisk

Comments Accepted to 4th Workshop on Gender Bias in Natural Language Processing, NAACL 2022

Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs

Ghazi Felhi, Joseph Le Roux, Djamé Seddah

Comments Accepted @ NAACL 2022

Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer

Zhengyuan Liu, Nancy F. Chen

Comments In Findings of NAACL 2022

Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation

Prakhar Gupta, Harsh Jhamtani, Jeffrey P. Bigham

Comments Accepted at NAACL 2022 (Findings)

Modeling Exemplification in Long-form Question Answering via Retrieval

Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer

Comments 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics

"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation

Lingyu Gao, Debanjan Ghosh, Kevin Gimpel

Comments Accepted at the 11th Joint Conference on Lexical and Computational Semantics (*SEM) Conference, NAACL 2022

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith

Comments Proc. of NAACL 2022

Transparent Human Evaluation for Image Captioning

Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith

Comments Proc. of NAACL 2022

Speeding Up Entmax

Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov

Comments Findings of NAACL 2022

LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners

Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao

Comments Accepted by NAACL findings. Code is https://github.com/microsoft/LiST

CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning

Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng

Comments NAACL 2022, Industry Track

Exploiting Social Media Content for Self-Supervised Style Transfer

Dana Ruiter, Thomas Kleinbauer, Cristina España-Bonet, Josef van Genabith, Dietrich Klakow

Comments 13 pages, 2 figures, accepted as a long paper at SocialNLP 2022 (@NAACL)

Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation

Muhammad Umair Nasir, Innocent Amos Mchechesi

Comments Accepted at NAACL 2022 Workshop MIA

Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes

Antonis Maronikolakis, Philip Baader, Hinrich Schütze

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

SKILL: Structured Knowledge Infusion for Large Language Models

Fedor Moiseev, Zhe Dong, Enrique Alfonseca, Martin Jaggi

Comments NAACL 2022

Towards Debiasing Translation Artifacts

Koel Dutta Chowdhury, Rricha Jalota, Cristina España-Bonet, Josef van Genabith

Comments Accepted to NAACL 2022, Main Conference

ScAN: Suicide Attempt and Ideation Events Dataset

Bhanu Pratap Singh Rawat, Samuel Kovaly, Wilfred R. Pigeon, Hong Yu

Comments Paper accepted at NAACL 2022

How Gender Debiasing Affects Internal Model Representations, and Why It Matters

Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov

Comments Accepted to NAACL 2022

Learning to Retrieve Passages without Supervision

Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson

Comments NAACL 2022

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization

David Wan, Mohit Bansal

Comments NAACL 2022 (19 pages)

What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris

Mikael Brunila, Jack LaViolette

Comments Accepted at NAACL 2022 (main track)