NAACL

Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings

Vivek Kalyan, Sam Witteveen, Martin Andrews

Comments Accepted paper for TextGraphs-15 workshop at NAACL 2021. (5 pages including references)

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics

Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov

Comments Accepted at NAACL 2021. Second version fixes bug with BERTScore results

Overview and Insights from the SciVer Shared Task on Scientific Claim Verification

David Wadden, Kyle Lo

Comments SciVer shared task, presented at the 2nd Scholarly Document Processing (SDP) workshop at NAACL 2021

Noise Stability Regularization for Improving BERT Fine-tuning

Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo

Comments Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

On the Transformer Growth for Progressive BERT Training

Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han

Comments NAACL 2021

Using Noisy Self-Reports to Predict Twitter User Demographics

Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze

Comments The first two authors had an equal contribution. Accepted to SocialNLP @ NAACL 2021

Modeling Diagnostic Label Correlation for Automatic ICD Coding

Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen

Comments NAACL 2021 Long Paper. Code available at https://github.com/MiuLab/ICD-Correlation

A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews

Gabriele Pergola, Lin Gui, Yulan He

Comments Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2021

Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation

Samuel Kiegeland, Julia Kreutzer

Journal ref North American Chapter of the Association for Computational Linguistics, 2021, 1673-1681

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, Shiqi Xu

Comments To appear at NAACL 2021

Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality

Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang

Comments Published as a conference paper at NAACL 2021

Causal Effects of Linguistic Properties

Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar

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

Neural Text Classification and Stacked Heterogeneous Embeddings for Named Entity Recognition in SMM4H 2021

Usama Yaseen, Stefan Langer

Comments NAACL 2021

Continual Learning for Text Classification with Information Disentanglement Based Regularization

Yufan Huang, Yanzhe Zhang, Jiaao Chen, Xuezhi Wang, Diyi Yang

Comments NAACL 2021

SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation

Ioannis Kazakos, Carles Ventura, Miriam Bellver, Carina Silberer, Xavier Giro-i-Nieto

Comments Accepted as poster at the NAACL 2021 Visually Grounded Interaction and Language (ViGIL) Workshop. 4 pages. Project website: https://imatge-upc.github.io/synthref/

Open Domain Question Answering over Tables via Dense Retrieval

Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos

Comments NAACL 2021 camera ready

PANDORA Talks: Personality and Demographics on Reddit

Matej Gjurković, Mladen Karan, Iva Vukojević, Mihaela Bošnjak, Jan Šnajder

Comments Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, NAACL 2021, https://www.aclweb.org/anthology/2021.socialnlp-1.12

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge

Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei

Comments NAACL 2021

Extractive Research Slide Generation Using Windowed Labeling Ranking

Athar Sefid, Jian Wu, Prasenjit Mitra, Lee Giles

Journal ref NAACL/Proceedings of the Second Workshop on Scholarly Document Processing 2021

Lifelong Learning of Hate Speech Classification on Social Media

Jing Qian, Hong Wang, Mai ElSherief, Xifeng Yan

Comments NAACL 2021

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

Samson Tan, Shafiq Joty

Comments To be presented at NAACL-HLT 2021. Abstract also published in the Rising Stars Track of the Workshop on Computational Approaches to Linguistic Code-Switching (CALCS 2021)

Journal ref 2021.naacl-main.282

Differentiable Open-Ended Commonsense Reasoning

Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen

Comments Accepted to NAACL 2021. Project website: https://open-csr.github.io

ConVEx: Data-Efficient and Few-Shot Slot Labeling

Matthew Henderson, Ivan Vulić

Comments NAACL 2021 (long)

RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion

Youri Xu, E Haihong, Meina Song, Wenyu Song, Xiaodong Lv, Wang Haotian, Yang Jinrui

Comments Accepted as a main conference paper at NAACL-HLT 2021

UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus

George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen Chen, Alexander Wong

Comments 10 pages, 3 figures, accepted in NAACL 2021

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning

Swarnadeep Saha, Prateek Yadav, Mohit Bansal

Comments NAACL 2021 (16 pages)

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao

Comments NAACL 2021 (14 pages)

GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering

Weixin Liang, Yanhao Jiang, Zixuan Liu

Comments NAACL 2021 MAI-Workshop. Code available at https://github.com/codexxxl/GraphVQA

X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering

Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May

Comments Accepted at NAACL 2021

Quality Estimation for Image Captions Based on Large-scale Human Evaluations

Tomer Levinboim, Ashish V. Thapliyal, Piyush Sharma, Radu Soricut

Comments 10 pages, 6 figures, 3 tables. Accepted to NAACL2021. https://www.aclweb.org/anthology/2021.naacl-main.253/