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EMNLP 2020

1,823 papers

Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain

Mark-Christoph Müller, Sucheta Ghosh, Maja Rey, Ulrike Wittig, Wolfgang Müller

The impact of preprint servers in the formation of novel ideas

Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman

A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature

Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling

Acknowledgement Entity Recognition in CORD-19 Papers

Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles

Overview of the First Workshop on Scholarly Document Processing (SDP)

Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy

Slice-Aware Neural Ranking

Gustavo Penha, Claudia Hauff

Surfacing Privacy Settings Using Semantic Matching

Rishabh Khandelwal, Asmit Nayak, Yao Yao, Kassem Fawaz

Identifying and Classifying Third-party Entities in Natural Language Privacy Policies

Mitra Bokaie Hosseini, Pragyan K C, Irwin Reyes, Serge Egelman

A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

On Log-Loss Scores and (No) Privacy

Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

Pasquale Lisena, Ismail Harrando, Oussama Kandakji, Raphael Troncy

Open-Source Morphology for Endangered Mordvinic Languages

Jack Rueter, Mika Hämäläinen, Niko Partanen

Open Korean Corpora: A Practical Report

Won Ik Cho, Sangwhan Moon, Youngsook Song

Howl: A Deployed, Open-Source Wake Word Detection System

Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking

Going Beyond T-SNE: Exposing whatlies in Text Embeddings

Vincent Warmerdam, Thomas Kober, Rachael Tatman

Flexible retrieval with NMSLIB and FlexNeuART

Leonid Boytsov, Eric Nyberg

A Framework to Assist Chat Operators of Mental Healthcare Services

Thiago Madeira, Heder Bernardino, Jairo Francisco De Souza, Henrique Gomide, Nathália Munck Machado

Analyzing Gender Bias within Narrative Tropes

Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O’Connor, Mohit Iyyer

Emoji and Self-Identity in Twitter Bios

Jinhang Li, Giorgos Longinos, Steven Wilson, Walid Magdy

Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling

Mohammadzaman Zamani, H. Andrew Schwartz, Johannes Eichstaedt, Sharath Chandra Guntuku, Adithya Virinchipuram Ganesan

Diachronic Embeddings for People in the News

Felix Hennig, Steven Wilson

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity

Wei-Fan Chen, Khalid Al Khatib, Henning Wachsmuth, Benno Stein

Recalibrating classifiers for interpretable abusive content detection

Bertie Vidgen, Scott A. Hale, Sam Staton, Tom Melham, Helen Margetts

Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings

Katja Geertruida Schmahl, Tom Julian Viering, Stavros Makrodimitris, Arman Naseri Jahfari, David Tax

Identifying Worry in Twitter: Beyond Emotion Analysis

Reyha Verma, Christian von der Weth, Jithin Vachery, Mohan Kankanhalli

Viable Threat on News Reading: Generating Biased News Using Natural Language Models

Saurabh Gupta, Hong Huy Nguyen, Junichi Yamagishi, Isao Echizen

I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic

Lynnette Hui Xian Ng, Roy Ka-Wei Lee, Md Rabiul Awal

Swimming with the Tide? Positional Claim Detection across Political Text Types

Nico Blokker, Erenay Dayanik, Gabriella Lapesa, Sebastian Padó

Using BERT for Qualitative Content Analysis in Psychosocial Online Counseling

Philipp Grandeit, Carolyn Haberkern, Maximiliane Lang, Jens Albrecht, Robert Lehmann

Measuring Linguistic Diversity During COVID-19

Jonathan Dunn, Tom Coupe, Benjamin Adams

Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings

Roshan Santosh, H. Andrew Schwartz, Johannes Eichstaedt, Lyle Ungar, Sharath Chandra Guntuku

Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo

Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao

Collecting Verified COVID-19 Question Answer Pairs

Adam Poliak, Max Fleming, Cash Costello, Kenton Murray, Mahsa Yarmohammadi

Developing a Curated Topic Model for COVID-19 Medical Research Literature

Philip Resnik, Katherine E. Goodman, Mike Moran

Concept Wikification for COVID-19

Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min

AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature

Keith Suderman, Nancy Ide, Marc Verhagen, Brent Cochran, James Pustejovsky

Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case

Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, Dalal Alajaji, Mashail Alturki

Knowledge Discovery in COVID-19 Research Literature

Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo

Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature

Abdullatif Köksal, Hilal Dönmez, Rıza Özçelik, Elif Ozkirimli, Arzucan Özgür

COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities

Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto

Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media

Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani

A Multilingual Neural Machine Translation Model for Biomedical Data

Alexandre Berard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong Lucy Park, Matthias Gallé

Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature

Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, Eneko Agirre

A System for Worldwide COVID-19 Information Aggregation

Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi

Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration

Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster

COVIDLies: Detecting COVID-19 Misinformation on Social Media

Tamanna Hossain, Robert L. Logan Iv, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young

Explaining the Trump Gap in Social Distancing Using COVID Discourse

Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K Lakshmikanth, Ishan Shah

Quantifying the Effects of COVID-19 on Mental Health Support Forums

Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea

Expressive Interviewing: A Conversational System for Coping with COVID-19

Charles Welch, Allison Lahnala, Veronica Perez-Rosas, Siqi Shen, Sarah Seraj

TICO-19: the Translation Initiative for COvid-19

Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann

COVID-19 Literature Topic-Based Search via Hierarchical NMF

Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko

CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles

Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo

Answering Questions on COVID-19 in Real-Time

Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon

Reasoning Over History: Context Aware Visual Dialog

Muhammad Shah, Shikib Mehri, Tejas Srinivasan