NAACL 2021

941 papers

Progressive Generation of Long Text with Pretrained Language Models

Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric Xing, Zhiting Hu

Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge

Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian McAuley

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints

Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula

Focused Attention Improves Document-Grounded Generation

Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W Black, Ruslan Salakhutdinov

On Learning Text Style Transfer with Direct Rewards

Yixin Liu, Graham Neubig, John Wieting

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding

Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names

Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren

Self-Alignment Pretraining for Biomedical Entity Representations

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier

Inductive Topic Variational Graph Auto-Encoder for Text Classification

Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

CoRT: Complementary Rankings from Transformers

Marco Wrzalik, Dirk Krechel

Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness

Florian Boudin, Ygor Gallina

Stay Together: A System for Single and Split-antecedent Anaphora Resolution

Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio

Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models

Anne Beyer, Sharid Loáiciga, David Schlangen

Probing for Bridging Inference in Transformer Language Models

Onkar Pandit, Yufang Hou

Predicting Discourse Trees from Transformer-based Neural Summarizers

Wen Xiao, Patrick Huber, Giuseppe Carenini

Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research

Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rose, Harry Hochheiser

Dynabench: Rethinking Benchmarking in NLP

Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger

Causal Effects of Linguistic Properties

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

How low is too low? A monolingual take on lemmatisation in Indian languages

Kumar Saunack, Kumar Saurav, Pushpak Bhattacharyya

Grey-box Adversarial Attack And Defence For Sentiment Classification

Ying Xu, Xu Zhong, Antonio Jimeno Yepes, Jey Han Lau

A recipe for annotating grounded clarifications

Luciana Benotti, Patrick Blackburn

Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents

Mohammad Kachuee, Hao Yuan, Young-Bum Kim, Sungjin Lee

Modeling Diagnostic Label Correlation for Automatic ICD Coding

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

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation

Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo

Quantitative Day Trading from Natural Language using Reinforcement Learning

Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah

Distantly Supervised Transformers For E-Commerce Product QA

Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia

ER-AE: Differentially Private Text Generation for Authorship Anonymization

Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation

Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu

Smart-Start Decoding for Neural Machine Translation

Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li

Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita

Continual Learning for Neural Machine Translation

Yue Cao, Hao-Ran Wei, Boxing Chen, Xiaojun Wan

Multi-Hop Transformer for Document-Level Machine Translation

Long Zhang, Tong Zhang, Haibo Zhang, Baosong Yang, Wei Ye

Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation

Shuhao Gu, Yang Feng, Wanying Xie

Almost Free Semantic Draft for Neural Machine Translation

Xi Ai, Bin Fang

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, Chulaka Gunasekara

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation

Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-jui Hsieh

Learning to Learn to be Right for the Right Reasons

Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui

tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets

Ayush Kaushal, Avirup Saha, Niloy Ganguly

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie

Discourse Probing of Pretrained Language Models

Fajri Koto, Jey Han Lau, Timothy Baldwin

Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures

Caitlin Doogan, Wray Buntine

On the Impact of Random Seeds on the Fairness of Clinical Classifiers

Silvio Amir, Jan-Willem van de Meent, Byron Wallace

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels

FatemehSadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick

Case Study: Deontological Ethics in NLP

Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W Black

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning

Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves

Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing

Boaz Shmueli, Jan Fell, Soumya Ray, Lun-Wei Ku

An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls

Ramit Sawhney, Arshiya Aggarwal, Rajiv Ratn Shah

Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack

Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu

QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval

Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang

Universal Adversarial Attacks with Natural Triggers for Text Classification

Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan

Refining Targeted Syntactic Evaluation of Language Models

Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt

CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images

Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral

Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge

Pat Verga, Haitian Sun, Livio Baldini Soares, William Cohen

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning

Swarnadeep Saha, Prateek Yadav, Mohit Bansal

Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks

Iacer Calixto, Alessandro Raganato, Tommaso Pasini

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval

Hongliang Fei, Tan Yu, Ping Li

Explicit Alignment Objectives for Multilingual Bidirectional Encoders

Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig

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

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

Samson Tan, Shafiq Joty

Context-Interactive Pre-Training for Document Machine Translation

Pengcheng Yang, Pei Zhang, Boxing Chen, jun xie, Weihua Luo

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal

Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models

Elizabeth Clark, Noah A. Smith

Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training

Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou

Controllable Text Simplification with Explicit Paraphrasing

Mounica Maddela, Fernando Alva-Manchego, Wei Xu

FUDGE: Controlled Text Generation With Future Discriminators

Kevin Yang, Dan Klein

Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus

Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu N, Abhilasha Sancheti

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Tuan Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt

Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures

Minh Tran Phu, Thien Huu Nguyen

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Chih-Yao Chen, Cheng-Te Li

Better Feature Integration for Named Entity Recognition

Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing

TABBIE: Pretrained Representations of Tabular Data

Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer

Noisy-Labeled NER with Confidence Estimation

Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang

Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction

Ian Wood, Mark Johnson, Stephen Wan

Clipping Loops for Sample-Efficient Dialogue Policy Optimisation

Yen-chen Wu, Carl Edward Rasmussen

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems

Piyawat Lertvittayakumjorn, Daniele Bonadiman, Saab Mansour

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues

Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal

ConVEx: Data-Efficient and Few-Shot Slot Labeling

Matthew Henderson, Ivan Vulić

Supervised Neural Clustering via Latent Structured Output Learning: Application to Question Intents

Iryna Haponchyk, Alessandro Moschitti

Ensemble of MRR and NDCG models for Visual Dialog

Idan Schwartz

Knowledge Guided Metric Learning for Few-Shot Text Classification

Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization

Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip Yu

FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models

Xiaoan Ding, Kevin Gimpel

Noise Stability Regularization for Improving BERT Fine-tuning

Hang Hua, Xingjian Li, Dejing Dou, Chengzhong Xu, Jiebo Luo

Grouping Words with Semantic Diversity

Karine Chubarian, Abdul Rafae Khan, Anastasios Sidiropoulos, Jia Xu

Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer

Eleftheria Briakou, Di Lu, Ke ZHANG, Joel Tetreault

News Headline Grouping as a Challenging NLU Task

Philippe Laban, Lucas Bandarkar, Marti A. Hearst

CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems

Kushal Chawla, Jaysa Ramirez, Rene Clever, Gale Lucas, Jonathan May

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

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

SentSim: Crosslingual Semantic Evaluation of Machine Translation

Yurun Song, Junchen Zhao, Lucia Specia

Negative language transfer in learner English: A new dataset

Leticia Farias Wanderley, Nicole Zhao, Carrie Demmans Epp

Revisiting Document Representations for Large-Scale Zero-Shot Learning

Jihyung Kil, Wei-Lun Chao

Semi-Supervised Policy Initialization for Playing Games with Language Hints

Tsu-Jui Fu, William Yang Wang

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency

Sameer Dharur, Purva Tendulkar, Dhruv Batra, Devi Parikh, Ramprasaath R. Selvaraju

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

Shunyu Yao, Karthik Narasimhan, Matthew Hausknecht

You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions

Sergey Volokhin, Joyce Ho, Oleg Rokhlenko, Eugene Agichtein

Faithfully Explainable Recommendation via Neural Logic Reasoning

Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang

Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification

Wilson Fearn, Orion Weller, Kevin Seppi

Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling

Aaron Mueller, Mark Dredze

X-Class: Text Classification with Extremely Weak Supervision

Zihan Wang, Dheeraj Mekala, Jingbo Shang