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EACL 2021

744 papers

CLiMP: A Benchmark for Chinese Language Model Evaluation

Beilei Xiang, Changbing Yang, Yu Li, Alex Warstadt, Katharina Kann

Diverse Adversaries for Mitigating Bias in Training

Xudong Han, Timothy Baldwin, Trevor Cohn

Extremely Small BERT Models from Mixed-Vocabulary Training

Sanqiang Zhao, Raghav Gupta, Yang Song, Denny Zhou

Fine-Grained Event Trigger Detection

Duong Le, Thien Huu Nguyen

Entity-level Factual Consistency of Abstractive Text Summarization

Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu

Complementary Evidence Identification in Open-Domain Question Answering

Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang

BERTective: Language Models and Contextual Information for Deception Detection

Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy

Informative and Controllable Opinion Summarization

Reinald Kim Amplayo, Mirella Lapata

Do Syntax Trees Help Pre-trained Transformers Extract Information?

Devendra Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton

On the Computational Modelling of Michif Verbal Morphology

Fineen Davis, Eddie A. Santos, Heather Souter

From Toxicity in Online Comments to Incivility in American News: Proceed with Caution

Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova

Unsupervised Abstractive Summarization of Bengali Text Documents

Radia Rayan Chowdhury, Mir Tafseer Nayeem, Tahsin Tasnim Mim, Md. Saifur Rahman Chowdhury, Taufiqul Jannat

Changing the Mind of Transformers for Topically-Controllable Language Generation

Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum

Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing

Hiroaki Ozaki, Gaku Morio, Terufumi Morishita, Toshinori Miyoshi

StructSum: Summarization via Structured Representations

Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell

Incremental Beam Manipulation for Natural Language Generation

James Hargreaves, Andreas Vlachos, Guy Emerson

Scientific Discourse Tagging for Evidence Extraction

Xiangci Li, Gully Burns, Nanyun Peng

DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections

Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula

Streaming Models for Joint Speech Recognition and Translation

Orion Weller, Matthias Sperber, Christian Gollan, Joris Kluivers

Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT

Isabel Papadimitriou, Ethan A. Chi, Richard Futrell, Kyle Mahowald

Context-aware Neural Machine Translation with Mini-batch Embedding

Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata

Annealing Knowledge Distillation

Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi

Hidden Biases in Unreliable News Detection Datasets

Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal

Evaluating Neural Model Robustness for Machine Comprehension

Winston Wu, Dustin Arendt, Svitlana Volkova

ADePT: Auto-encoder based Differentially Private Text Transformation

Satyapriya Krishna, Rahul Gupta, Christophe Dupuy

Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks

Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen

Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings

Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen McKeown

VoiSeR: A New Benchmark for Voice-Based Search Refinement

Simone Filice, Giuseppe Castellucci, Marcus Collins, Eugene Agichtein, Oleg Rokhlenko

Content-based Models of Quotation

Ansel MacLaughlin, David Smith

Subword Pooling Makes a Difference

Judit Ács, Ákos Kádár, András Kornai

On the evolution of syntactic information encoded by BERT’s contextualized representations

Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini

First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT

Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah

Process-Level Representation of Scientific Protocols with Interactive Annotation

Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky

FAST: Financial News and Tweet Based Time Aware Network for Stock Trading

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

An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games

Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli

Paraphrases do not explain word analogies

Louis Fournier, Ewan Dunbar

Neural-Driven Search-Based Paraphrase Generation

Betty Fabre, Tanguy Urvoy, Jonathan Chevelu, Damien Lolive

ChainCQG: Flow-Aware Conversational Question Generation

Jing Gu, Mostafa Mirshekari, Zhou Yu, Aaron Sisto

Language Modelling as a Multi-Task Problem

Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes

Acquiring a Formality-Informed Lexical Resource for Style Analysis

Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies

Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He

Multilingual and cross-lingual document classification: A meta-learning approach

Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova

A New View of Multi-modal Language Analysis: Audio and Video Features as Text “Styles”

Zhongkai Sun, Prathusha K Sarma, Yingyu Liang, William Sethares

Multilingual Entity and Relation Extraction Dataset and Model

Alessandro Seganti, Klaudia Firląg, Helena Skowronska, Michał Satława, Piotr Andruszkiewicz

Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions

Pere-Lluís Huguet Cabot, David Abadi, Agneta Fischer, Ekaterina Shutova

Exploring Supervised and Unsupervised Rewards in Machine Translation

Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia

Applying the Transformer to Character-level Transduction

Shijie Wu, Ryan Cotterell, Mans Hulden

Error Analysis and the Role of Morphology

Marcel Bollmann, Anders Søgaard

How Certain is Your Transformer?

Artem Shelmanov, Evgenii Tsymbalov, Dmitri Puzyrev, Kirill Fedyanin, Alexander Panchenko

We Need To Talk About Random Splits

Anders Søgaard, Sebastian Ebert, Jasmijn Bastings, Katja Filippova

Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models

Shaoor Munir, Brishna Batool, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar

Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models

Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl

Semantic Parsing of Disfluent Speech

Priyanka Sen, Isabel Groves

BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection

Beatrice Portelli, Edoardo Lenzi, Emmanuele Chersoni, Giuseppe Serra, Enrico Santus

Few Shot Dialogue State Tracking using Meta-learning

Saket Dingliwal, Shuyang Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung

Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale

Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth

MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization

Jenny Paola Yela-Bello, Ewan Oglethorpe, Navid Rekabsaz

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates

Artem Shelmanov, Dmitri Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov