EACL 2021

744 papers

CFILT IIT Bombay@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion using Multilingual Representation fromTransformers

Pankaj Singh, Prince Kumar, Pushpak Bhattacharyya

Spartans@LT-EDI-EACL2021: Inclusive Speech Detection using Pretrained Language Models

Megha Sharma, Gaurav Arora

MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts

Fazlourrahman Balouchzahi, Aparna B K, H L Shashirekha

Simon @ LT-EDI-EACL2021: Detecting Hope Speech with BERT

Qinyu Que

NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque

Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section

Vasudev Awatramani

Hopeful Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers

Ishan Sanjeev Upadhyay, Nikhil E, Anshul Wadhawan, Radhika Mamidi

Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text

Thara S, Ravi teja Tasubilli, Kothamasu Sai rahul

Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model

Sunil Gundapu, Radhika Mamidi

TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers

Khyati Mahajan, Erfan Al-Hossami, Samira Shaikh

GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil

Stefan Ziehe, Franziska Pannach, Aravind Krishnan

cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model

Shi Chen, Bing Kong

TEAM HUB@LT-EDI-EACL2021: Hope Speech Detection Based On Pre-trained Language Model

Bo Huang, Yang Bai

ZYJ@LT-EDI-EACL2021:XLM-RoBERTa-Based Model with Attention for Hope Speech Detection

Yingjia Zhao, Xin Tao

IRNLP_DAIICT@LT-EDI-EACL2021: Hope Speech detection in Code Mixed text using TF-IDF Char N-grams and MuRIL

Bhargav Dave, Shripad Bhat, Prasenjit Majumder

IIIT_DWD@LT-EDI-EACL2021: Hope Speech Detection in YouTube multilingual comments

Sunil Saumya, Ankit Kumar Mishra

IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always hope in Transformers

Karthik Puranik, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Bharathi Raja Chakravarthi

ssn_diBERTsity@LT-EDI-EACL2021:Hope Speech Detection on multilingual YouTube comments via transformer based approach

Arunima S, Akshay Ramakrishnan, Avantika Balaji, Thenmozhi D., Senthil Kumar B

EDIOne@LT-EDI-EACL2021: Pre-trained Transformers with Convolutional Neural Networks for Hope Speech Detection.

Suman Dowlagar, Radhika Mamidi

KU_NLP@LT-EDI-EACL2021: A Multilingual Hope Speech Detection for Equality, Diversity, and Inclusion using Context Aware Embeddings

Junaida M K, Ajees A P

dhivya-hope-detection@LT-EDI-EACL2021: Multilingual Hope Speech Detection for Code-mixed and Transliterated Texts

Dhivya Chinnappa

Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion

Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran

Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification

Avi Bleiweiss

GEPSA, a tool for monitoring social challenges in digital press

Iñaki San Vicente, Xabier Saralegi, Nerea Zubia

An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline

Senthil Kumar B, Aravindan Chandrabose, Bharathi Raja Chakravarthi

hBERT + BiasCorp - Fighting Racism on the Web

Olawale Onabola, Zhuang Ma, Xie Yang, Benjamin Akera, Ibraheem Abdulrahman

Cross-Lingual Transfer Learning for Hate Speech Detection

Irina Bigoulaeva, Viktor Hangya, Alexander Fraser

Adapting the Portuguese Braille System to Formal Semantics

Luís Filipe Cunha

Impact of COVID-19 in Natural Language Processing Publications: a Disaggregated Study in Gender, Contribution and Experience

Christine Basta, Marta R. Costa-jussà

Scientific Claim Verification with VerT5erini

Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin

Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations

Atharva Kulkarni, Amey Hengle, Pradnya Kulkarni, Manisha Marathe

FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous Entities

Anne Dirkson, Suzan Verberne, Wessel Kraaij

Topic Modeling for Maternal Health Using Reddit

Shuang Gao, Shivani Pandya, Smisha Agarwal, João Sedoc

Classification of mental illnesses on social media using RoBERTa

Ankit Murarka, Balaji Radhakrishnan, Sushma Ravichandran

Integrating Higher-Level Semantics into Robust Biomedical Name Representations

Pieter Fivez, Simon Suster, Walter Daelemans

Leveraging knowledge sources for detecting self-reports of particular health issues on social media

Parsa Bagherzadeh, Sabine Bergler

Fast and Effective Biomedical Entity Linking Using a Dual Encoder

Rajarshi Bhowmik, Karl Stratos, Gerard de Melo

Understanding Social Support Expressed in a COVID-19 Online Forum

Anietie Andy, Brian Chu, Ramie Fathy, Barrington Bennett, Daniel Stokes

Multilingual Negation Scope Resolution for Clinical Text

Mareike Hartmann, Anders Søgaard

ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic

Hamdy Mubarak, Sabit Hassan

What Did This Castle Look like before? Exploring Referential Relations in Naturally Occurring Multimodal Texts

Ronja Utescher, Sina Zarrieß

Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions

Sebastian Bujwid, Josephine Sullivan

Exploiting Image–Text Synergy for Contextual Image Captioning

Sreyasi Nag Chowdhury, Rajarshi Bhowmik, Hareesh Ravi, Gerard de Melo, Simon Razniewski

Visual Grounding Strategies for Text-Only Natural Language Processing

Damien Sileo

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge

Violetta Shevchenko, Damien Teney, Anthony Dick, Anton van den Hengel

Interrater Disagreement Resolution: A Systematic Procedure to Reach Consensus in Annotation Tasks

Yvette Oortwijn, Thijs Ossenkoppele, Arianna Betti

A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist

Shaily Bhatt, Rahul Jain, Sandipan Dandapat, Sunayana Sitaram

Detecting Post-Edited References and Their Effect on Human Evaluation

Vĕra Kloudová, Ondřej Bojar, Martin Popel

Eliciting Explicit Knowledge From Domain Experts in Direct Intrinsic Evaluation of Word Embeddings for Specialized Domains

Goya van Boven, Jelke Bloem

On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs

Roman Grundkiewicz, Marcin Junczys-Dowmunt, Christian Federmann, Tom Kocmi

Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead

Neslihan Iskender, Tim Polzehl, Sebastian Möller

A View From the Crowd: Evaluation Challenges for Time-Offset Interaction Applications

Alberto Chierici, Nizar Habash

The Great Misalignment Problem in Human Evaluation of NLP Methods

Mika Hämäläinen, Khalid Alnajjar

A Preliminary Study on Evaluating Consultation Notes With Post-Editing

Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov, Ehud Reiter

Towards Objectively Evaluating the Quality of Generated Medical Summaries

Francesco Moramarco, Damir Juric, Aleksandar Savkov, Ehud Reiter

Is This Translation Error Critical?: Classification-Based Human and Automatic Machine Translation Evaluation Focusing on Critical Errors

Katsuhito Sudoh, Kosuke Takahashi, Satoshi Nakamura

Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation

Sheila Castilho

Trading Off Diversity and Quality in Natural Language Generation

Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan

Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generation

Jakob Nyberg, Maike Paetzel, Ramesh Manuvinakurike

It’s Commonsense, isn’t it? Demystifying Human Evaluations in Commonsense-Enhanced NLG Systems

Miruna-Adriana Clinciu, Dimitra Gkatzia, Saad Mahamood

How do people interact with biased text prediction models while writing?

Advait Bhat, Saaket Agashe, Anirudha Joshi

RE-AIMing Predictive Text

Matthew Higgs, Claire McCallum, Selina Sutton, Mark Warner

An IDR Framework of Opportunities and Barriers between HCI and NLP

Nanna Inie, Leon Derczynski

Provocation: Contestability in Large-Scale Interactive NLP Systems

Tanushree Mitra

Machine Translation Believability

Marianna Martindale, Kevin Duh, Marine Carpuat

Situation-Specific Multimodal Feature Adaptation

Özge Alaçam

AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation

Imke van Heerden, Anil Bas

Challenges in Designing Natural Language Interfaces for Complex Visual Models

Henrik Voigt, Monique Meuschke, Kai Lawonn, Sina Zarrieß

Challenges in Designing Games with a Purpose for Abusive Language Annotation

Federico Bonetti, Sara Tonelli

Can You Distinguish Truthful from Fake Reviews? User Analysis and Assistance Tool for Fake Review Detection

Jeonghwan Kim, Junmo Kang, Suwon Shin, Sung-Hyon Myaeng

Putting Humans in the Natural Language Processing Loop: A Survey

Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang

Embodied Multimodal Agents to Bridge the Understanding Gap

Nikhil Krishnaswamy, Nada Alalyani

Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation

Nina Markl, Catherine Lai

Methods for the Design and Evaluation of HCI+NLP Systems

Hendrik Heuer, Daniel Buschek

Towards Human-Centered Summarization: A Case Study on Financial News

Tatiana Passali, Alexios Gidiotis, Efstathios Chatzikyriakidis, Grigorios Tsoumakas

Capturing Covertly Toxic Speech via Crowdsourcing

Alyssa Lees, Daniel Borkan, Ian Kivlichan, Jorge Nario, Tesh Goyal

Spellchecking for Children in Web Search: a Natural Language Interface Case-study

Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, Maria Soledad Pera

Towards Hybrid Human-Machine Workflow for Natural Language Generation

Neslihan Iskender, Tim Polzehl, Sebastian Möller

Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)

Myrthe Reuver, Nicolas Mattis

To Block or not to Block: Experiments with Machine Learning for News Comment Moderation

Damir Korencic, Ipek Baris, Eugenia Fernandez, Katarina Leuschel, Eva Sánchez Salido

EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+

Matej Martinc, Nina Perger, Andraž Pelicon, Matej Ulčar, Andreja Vezovnik

Interesting cross-border news discovery using cross-lingual article linking and document similarity

Boshko Koloski, Elaine Zosa, Timen Stepišnik-Perdih, Blaž Škrlj, Tarmo Paju

A COVID-19 news coverage mood map of Europe

Frankie Robertson, Jarkko Lagus, Kaisla Kajava

EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions

Senja Pollak, Marko Robnik-Sikonja, Matthew Purver, Michele Boggia, Ravi Shekhar

Unsupervised Approach to Multilingual User Comments Summarization

Aleš Žagar, Marko Robnik-Sikonja

Comment Section Personalization: Algorithmic, Interface, and Interaction Design

Yixue Wang

Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces

Blaž Škrlj, Shane Sheehan, Nika Eržen, Marko Robnik-Sikonja, Saturnino Luz

Aligning Estonian and Russian news industry keywords with the help of subtitle translations and an environmental thesaurus

Andraž Repar, Andrej Shumakov

Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism

Miia Rämö, Leo Leppänen

TeMoTopic: Temporal Mosaic Visualisation of Topic Distribution, Keywords, and Context

Shane Sheehan, Saturnino Luz, Masood Masoodian

No NLP Task Should be an Island: Multi-disciplinarity for Diversity in News Recommender Systems

Myrthe Reuver, Antske Fokkens, Suzan Verberne

Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up

Jakub Piskorski, Nicolas Stefanovitch, Guillaume Jacquet, Aldo Podavini

Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection

Andraž Pelicon, Ravi Shekhar, Matej Martinc, Blaž Škrlj, Matthew Purver

Extending Neural Keyword Extraction with TF-IDF tagset matching

Boshko Koloski, Senja Pollak, Blaž Škrlj, Matej Martinc

BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers

Enja Kokalj, Blaž Škrlj, Nada Lavrač, Senja Pollak, Marko Robnik-Sikonja

Daniel De Los Reyes, Allan Barcelos, Renata Vieira, Isabel Manssour

Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.

Costanza Conforti, Jakob Berndt, Marco Basaldella, Mohammad Taher Pilehvar, Chryssi Giannitsarou

Testing agreement between lexicographers: A case of homonymy and polysemy

Marek Maziarz, Francis Bond, Ewa Rudnicka

Towards the Addition of Pronunciation Information to Lexical Semantic Resources

Thierry Declerck, Lenka Bajčetić

Teaching Through Tagging — Interactive Lexical Semantics

Francis Bond, Andrew Devadason, Melissa Rui Lin Teo, Luís Morgado da Costa