EMNLP 2021

1,847 papers

Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice?

Filip Miletić, Anne Przewozny-Desriaux, Ludovic Tanguy

Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration

Shufan Wang, Laure Thompson, Mohit Iyyer

Semi-Supervised Exaggeration Detection of Health Science Press Releases

Dustin Wright, Isabelle Augenstein

GeneSis: A Generative Approach to Substitutes in Context

Caterina Lacerra, Rocco Tripodi, Roberto Navigli

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization

Inbar Oren, Jonathan Herzig, Jonathan Berant

VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment

Vivek Iyer, Arvind Agarwal, Harshit Kumar

Is Everything in Order? A Simple Way to Order Sentences

Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi

Multivalent Entailment Graphs for Question Answering

Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Johnson

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning

Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng

Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large

Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

MTAdam: Automatic Balancing of Multiple Training Loss Terms

Itzik Malkiel, Lior Wolf

Self-training with Few-shot Rationalization

Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee

Types of Out-of-Distribution Texts and How to Detect Them

Udit Arora, William Huang, He He

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

Bruce W. Lee, Yoo Sung Jang, Jason Lee

IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization

Fajri Koto, Jey Han Lau, Timothy Baldwin

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression

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

How to Train BERT with an Academic Budget

Peter Izsak, Moshe Berchansky, Omer Levy

Finetuning Pretrained Transformers into RNNs

Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco

Block Pruning For Faster Transformers

François Lagunas, Ella Charlaix, Victor Sanh, Alexander Rush

PermuteFormer: Efficient Relative Position Encoding for Long Sequences

Peng Chen

What to Pre-Train on? Efficient Intermediate Task Selection

Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych

A New Representation for Span-based CCG Parsing

Yoshihide Kato, Shigeki Matsubara

Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering

Daniel Fernández-González, Carlos Gómez-Rodríguez

Efficient Sampling of Dependency Structure

Ran Zmigrod, Tim Vieira, Ryan Cotterell

A Root of a Problem: Optimizing Single-Root Dependency Parsing

Miloš Stanojević, Shay B. Cohen

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement

Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, Marco Guerini, Sara Tonelli

IndoNLI: A Natural Language Inference Dataset for Indonesian

Rahmad Mahendra, Alham Fikri Aji, Samuel Louvan, Fahrurrozi Rahman, Clara Vania

Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing

Vera Provatorova, Samarth Bhargav, Svitlana Vakulenko, Evangelos Kanoulas

Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema

Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth

Visually Grounded Reasoning across Languages and Cultures

Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier

Automatic Text Evaluation through the Lens of Wasserstein Barycenters

Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari

Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction

Haoyang Wen, Heng Ji

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment

Ahmed El-Kishky, Adithya Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn

Few-Shot Named Entity Recognition: An Empirical Baseline Study

Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang

Open Knowledge Graphs Canonicalization using Variational Autoencoders

Sarthak Dash, Gaetano Rossiello, Nandana Mihindukulasooriya, Sugato Bagchi, Alfio Gliozzo

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang

Studying word order through iterative shuffling

Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic

FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging

Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong

Rationales for Sequential Predictions

Keyon Vafa, Yuntian Deng, David Blei, Alexander Rush

Putting Words in BERT’s Mouth: Navigating Contextualized Vector Spaces with Pseudowords

Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, Vivek Srikumar

Discretized Integrated Gradients for Explaining Language Models

Soumya Sanyal, Xiang Ren

Measuring Association Between Labels and Free-Text Rationales

Sarah Wiegreffe, Ana Marasović, Noah A. Smith

Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias

Jannis Vamvas, Rico Sennrich

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat

Neural Machine Translation Quality and Post-Editing Performance

Vilém Zouhar, Martin Popel, Ondřej Bojar, Aleš Tamchyna

UNKs Everywhere: Adapting Multilingual Language Models to New Scripts

Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, Sebastian Ruder

Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output

Raksha Shenoy, Nico Herbig, Antonio Krüger, Josef van Genabith

AUTOSUMM: Automatic Model Creation for Text Summarization

Sharmila Reddy Nangi, Atharv Tyagi, Jay Mundra, Sagnik Mukherjee, Raj Snehal

MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

Daniel Varab, Natalie Schluter

Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study

Ranran Zhen, Rui Wang, Guohong Fu, Chengguo Lv, Meishan Zhang

On Classifying whether Two Texts are on the Same Side of an Argument

Erik Körner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning

Yuchen Lian, Arianna Bisazza, Tessa Verhoef

An Information-Theoretic Characterization of Morphological Fusion

Neil Rathi, Michael Hahn, Richard Futrell

A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders

Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester

PAUSE: Positive and Annealed Unlabeled Sentence Embedding

Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin

“Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models

Roma Patel, Ellie Pavlick

“So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy

Anirudh Mittal, Pranav Jeevan P, Prerak Gandhi, Diptesh Kanojia, Pushpak Bhattacharyya

SWEAT: Scoring Polarization of Topics across Different Corpora

Federico Bianchi, Marco Marelli, Paolo Nicoli, Matteo Palmonari

Learning Bill Similarity with Annotated and Augmented Corpora of Bills

Jiseon Kim, Elden Griggs, In Song Kim, Alice Oh

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks

Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen

Assessing the Reliability of Word Embedding Gender Bias Measures

Yupei Du, Qixiang Fang, Dong Nguyen

Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications

Jiaxin Pei, David Jurgens

Identifying Morality Frames in Political Tweets using Relational Learning

Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser

Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender

Sky CH-Wang, David Jurgens

Guilt by Association: Emotion Intensities in Lexical Representations

Shahab Raji, Gerard de Melo

Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings

Marco Di Giovanni, Marco Brambilla

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau

QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions

Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan

Integrating Deep Event-Level and Script-Level Information for Script Event Prediction

Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin

HypMix: Hyperbolic Interpolative Data Augmentation

Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang

Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers

Stella Frank, Emanuele Bugliarello, Desmond Elliott

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images

Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant

On Pursuit of Designing Multi-modal Transformer for Video Grounding

Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, Yuexian Zou

Inflate and Shrink:Enriching and Reducing Interactions for Fast Text-Image Retrieval

Haoliang Liu, Tan Yu, Ping Li

Jointly Learning to Repair Code and Generate Commit Message

Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie LIU, Furu Wei

Wasserstein Selective Transfer Learning for Cross-domain Text Mining

Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference

Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun

Meta Distant Transfer Learning for Pre-trained Language Models

Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang

Exploring Methods for Generating Feedback Comments for Writing Learning

Kazuaki Hanawa, Ryo Nagata, Kentaro Inui

A Relation-Oriented Clustering Method for Open Relation Extraction

Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou

Maximal Clique Based Non-Autoregressive Open Information Extraction

Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun

Uncovering Main Causalities for Long-tailed Information Extraction

Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu

Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion

Lingyong Yan, Xianpei Han, Le Sun

Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction

Kailong Hao, Botao Yu, Wei Hu

Set Generation Networks for End-to-End Knowledge Base Population

Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao

Numerical reasoning in machine reading comprehension tasks: are we there yet?

Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo

Evaluation Paradigms in Question Answering

Pedro Rodriguez, Jordan Boyd-Graber

What’s in a Name? Answer Equivalence For Open-Domain Question Answering

Chenglei Si, Chen Zhao, Jordan Boyd-Graber

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation

Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber, Hal Daume III

Case-based Reasoning for Natural Language Queries over Knowledge Bases

Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora

Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel

Value-aware Approximate Attention

Ankit Gupta, Jonathan Berant

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu

KnowMAN: Weakly Supervised Multinomial Adversarial Networks

Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth

Knowledge Graph Representation Learning using Ordinary Differential Equations

Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP

Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal