NAACL

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity

Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze

Comments NAACL 2022 (Findings)

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec

Comments NAACL 2021. Code & data available at https://github.com/michiyasunaga/qagnn

ProQA: Structural Prompt-based Pre-training for Unified Question Answering

Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

Comments NAACL 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Comments Accepted by NAACL 2022

X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications

Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang

Comments Accepted at the 16th International Workshop on Semantic Evaluation (SemEval-2022), NAACL

Template-free Prompt Tuning for Few-shot NER

Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang

Comments Accepted by NAACL 2022 (Oral)

GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering

Yoonseok Yang, Kyu Seok Kim, Minsam Kim, Juneyoung Park

Comments NAACL 2022 Main Conference (Long Paper)

Journal ref https://aclanthology.org/2022.naacl-main.61

MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection

Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, Thien Huu Nguyen

Comments Accepted at NAACL 2022

Literature-Augmented Clinical Outcome Prediction

Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope

Comments Published at Findings of NAACL 2022. Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc, 16 pages. Code available at: https://github.com/allenai/BEEP

Xu at SemEval-2022 Task 4: Pre-BERT Neural Network Methods vs Post-BERT RoBERTa Approach for Patronizing and Condescending Language Detection

Jinghua Xu

Comments Accepted at the International Workshop on Semantic Evaluation (2022) co-located with NAACL

On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data

Kabir Ahuja, Monojit Choudhury, Sandipan Dandapat

Comments NAACL 2022

Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Comments Accepted in NAACL 2022. Code is available at https://github.com/ychen-stat-ml/kernel-adapters

Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints

Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Ying Qin, Shimin Tao, Yanghua Xiao

Comments Accepted to NAACL 2022

Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation

Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie

Comments NAACL 2022

Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation

Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn

Comments Accepted by NAACL-2022 Findings

Journal ref Findings of the Association for Computational Linguistics: NAACL 2022, 1409--1420

UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation

Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati, Behnam Bahrak

Comments 6 pages, 2 figures, International Workshop on Semantic Evaluation co-located with NAACL

Journal ref International Workshop on Semantic Evaluation 2022 co-located with NAACL

Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue

Raghav Gupta, Harrison Lee, Jeffrey Zhao, Abhinav Rastogi, Yuan Cao, Yonghui Wu

Comments NAACL 2022

Journal ref In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4541-4549, Seattle, United States. Association for Computational Linguistics

JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning

Yash Jakhotiya, Vaibhav Kumar, Ashwin Pathak, Raj Shah

Comments Accepted at the 16th International Workshop on Semantic Evaluation (SemEval-2022), NAACL. Best Project Award for Georgia Tech CS 7650. Code available at https://github.com/ashwinpathak20/Idiomaticity_Detection_Using_Few_Shot_Learning

HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea

Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh

Comments Findings of NAACL 2022

Unbiased Math Word Problems Benchmark for Mitigating Solving Bias

Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang

Journal ref Findings of NAACL 2022

Detecting Narrative Elements in Informational Text

Effi Levi, Guy Mor, Tamir Sheafer, Shaul R. Shenhav

Comments Accepted to Finding of NAACL 2022. Dataset is available at https://github.com/efle/NEAT. arXiv admin note: substantial text overlap with arXiv:2007.04874

Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption

Garam Lee, Minsoo Kim, Jai Hyun Park, Seung-won Hwang, Jung Hee Cheon

Comments NAACL 2022

Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Nicola De Cao, Wilker Aziz, Ivan Titov

Journal ref Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) 2306--2317

ALLSH: Active Learning Guided by Local Sensitivity and Hardness

Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou

Comments NAACL 2022 (finding); Our code is publicly available at https://github.com/szhang42/allsh

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Comments Accepted to NAACL 2022

Macro-Average: Rare Types Are Important Too

Thamme Gowda, Weiqiu You, Constantine Lignos, Jonathan May

Journal ref https://aclanthology.org/2021.naacl-main.90

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching

Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang

Comments Published at Findings of NAACL, 2022

WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models

Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz

Comments NAACL 2022

Mediators in Determining what Processing BERT Performs First

Aviv Slobodkin, Leshem Choshen, Omri Abend

Comments Accepted to NAACL 2021

Structure-Grounded Pretraining for Text-to-SQL

Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson

Comments Accepted to NAACL 2021. The Spider-Realistic dataset is available at https://doi.org/10.5281/zenodo.5205322