NAACL 2021

941 papers

The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora

Antonio Miranda-Escalada, Eulàlia Farré-Maduell, Salvador Lima-López, Luis Gascó, Vicent Briva-Iglesias

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data

Payam Karisani, Jinho D. Choi, Li Xiong

Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies

Jingcheng Niu, Erin Rees, Victoria Ng, Gerald Penn

Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification

Andreas Scherbakov, Liam Whittle, Ritesh Kumar, Siddharth Singh, Matthew Coleman

A ResNet-50-Based Convolutional Neural Network Model for Language ID Identification from Speech Recordings

Giuseppe G. A. Celano

Language ID Prediction from Speech Using Self-Attentive Pooling

Roman Bedyakin, Nikolay Mikhaylovskiy

SIGTYP 2021 Shared Task: Robust Spoken Language Identification

Elizabeth Salesky, Badr M. Abdullah, Sabrina Mielke, Elena Klyachko, Oleg Serikov

Morph Call: Probing Morphosyntactic Content of Multilingual Transformers

Vladislav Mikhailov, Oleg Serikov, Ekaterina Artemova

Predicting and Explaining French Grammatical Gender

Saumya Sahai, Dravyansh Sharma

Measuring Prefixation and Suffixation in the Languages of the World

Harald Hammarström

Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Text-based Translation

Zhong Zhou, Alexander Waibel

FrameNet and Typology

Michael Ellsworth, Collin Baker, Miriam R. L. Petruck

Improving the Performance of UDify with Linguistic Typology Knowledge

Chinmay Choudhary

Improving Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Nets

Hemanth Kandula, Bonan Min

A Universal Dependencies Corpora Maintenance Methodology Using Downstream Application

Ran Iwamoto, Hiroshi Kanayama, Alexandre Rademaker, Takuya Ohko

Inferring Morphological Complexity from Syntactic Dependency Networks: A Test

Guglielmo Inglese, Luca Brigada Villa

OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network

Xavier Marjou

Overview of the Second Workshop on Scholarly Document Processing

Iz Beltagy, Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal

Overview of the 2021 SDP 3C Citation Context Classification Shared Task

Suchetha N. Kunnath, David Pride, Drahomira Herrmannova, Petr Knoth

Amrita_CEN_NLP@SDP2021 Task A and B

Premjith B, Isha Indhu S, Kavya S. Kumar, Lakshaya Karthikeyan, Soman Kp

IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B)

Kamal Kaushik Varanasi, Tirthankar Ghosal, Piyush Tiwary, Muskaan Singh

Multitask Learning for Citation Purpose Classification

Yasa M. Baig, Alex X. Oesterling, Rui Xin, Haoyang Yu, Angikar Ghosal

SciBERT Sentence Representation for Citation Context Classification

Himanshu Maheshwari, Bhavyajeet Singh, Vasudeva Varma

Overview and Insights from the SCIVER shared task on Scientific Claim Verification

David Wadden, Kyle Lo

QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification

Xia Zeng, Arkaitz Zubiaga

Unsupervised document summarization using pre-trained sentence embeddings and graph centrality

Juan Ramirez-Orta, Evangelos Milios

CNLP-NITS @ LongSumm 2021: TextRank Variant for Generating Long Summaries

Darsh Kaushik, Abdullah Faiz Ur Rahman Khilji, Utkarsh Sinha, Partha Pakray

LongSumm 2021: Session based automatic summarization model for scientific document

Senci Ying, Zheng Yan Zhao, Wuhe Zou

Extractive Research Slide Generation Using Windowed Labeling Ranking

Athar Sefid, Prasenjit Mitra, Jian Wu, C Lee Giles

Finding Pragmatic Differences Between Disciplines

Lee Kezar, Jay Pujara

The Effect of Pretraining on Extractive Summarization for Scientific Documents

Yash Gupta, Pawan Sasanka Ammanamanchi, Shikha Bordia, Arjun Manoharan, Deepak Mittal

Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic

Johan Krause, Igor Shapiro, Tarek Saier, Michael Färber

Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead

Khalid Al Khatib, Tirthankar Ghosal, Yufang Hou, Anita De Waard, Dayne Freitag

Keyphrase Extraction from Scientific Articles via Extractive Summarization

Chrysovalantis Giorgos Kontoulis, Eirini Papagiannopoulou, Grigorios Tsoumakas

The Biomaterials Annotator: a system for ontology-based concept annotation of biomaterials text

Javier Corvi, Carla Fuenteslópez, José Fernández, Josep Gelpi, Maria-Pau Ginebra

Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation Models

Ibrahim Burak Ozyurt, Joseph Menke, Anita Bandrowski, Maryann Martone

Task Definition and Integration For Scientific-Document Writing Support

Hiromi Narimatsu, Kohei Koyama, Kohji Dohsaka, Ryuichiro Higashinaka, Yasuhiro Minami

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation

Soyeong Jeong, Jinheon Baek, ChaeHun Park, Jong Park

Determining the Credibility of Science Communication

Isabelle Augenstein

Private Text Classification with Convolutional Neural Networks

Samuel Adams, David Melanson, Martine De Cock

Using Confidential Data for Domain Adaptation of Neural Machine Translation

Sohyung Kim, Arianna Bisazza, Fatih Turkmen

A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning

Rajitha Hathurusinghe, Isar Nejadgholi, Miodrag Bolic

An Investigation towards Differentially Private Sequence Tagging in a Federated Framework

Abhik Jana, Chris Biemann

Learning and Evaluating a Differentially Private Pre-trained Language Model

Shlomo Hoory, Amir Feder, Avichai Tendler, Alon Cohen, Sofia Erell

On a Utilitarian Approach to Privacy Preserving Text Generation

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

Understanding Unintended Memorization in Language Models Under Federated Learning

Om Dipakbhai Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Françoise Beaufays

Towards a Model-Theoretic View of Narratives

Louis Castricato, Stella Biderman, David Thue, Rogelio Cardona-Rivera

Fabula Entropy Indexing: Objective Measures of Story Coherence

Louis Castricato, Spencer Frazier, Jonathan Balloch, Mark Riedl

Automatic Story Generation: Challenges and Attempts

Amal Alabdulkarim, Siyan Li, Xiangyu Peng

Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes

Zhiyu Lin, Mark Riedl

Transformer-based Screenplay Summarization Using Augmented Learning Representation with Dialogue Information

Myungji Lee, Hongseok Kwon, Jaehun Shin, WonKee Lee, Baikjin Jung

Gender and Representation Bias in GPT-3 Generated Stories

Li Lucy, David Bamman

Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies

Kung-Hsiang Huang, Nanyun Peng

Zhilin Wang, Weizhe Lin, Xiaodong Wu

FanfictionNLP: A Text Processing Pipeline for Fanfiction

Michael Yoder, Sopan Khosla, Qinlan Shen, Aakanksha Naik, Huiming Jin

Hierarchical Encoders for Modeling and Interpreting Screenplays

Gayatri Bhat, Avneesh Saluja, Melody Dye, Jan Florjanczyk

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan

Joint Summarization-Entailment Optimization for Consumer Health Question Understanding

Khalil Mrini, Franck Dernoncourt, Walter Chang, Emilia Farcas, Ndapa Nakashole

Building blocks of a task-oriented dialogue system in the healthcare domain

Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste

Extracting Appointment Spans from Medical Conversations

Nimshi Venkat Meripo, Sandeep Konam

Assertion Detection in Clinical Notes: Medical Language Models to the Rescue?

Betty van Aken, Ivana Trajanovska, Amy Siu, Manuel Mayrdorfer, Klemens Budde

Automatic Speech-Based Checklist for Medical Simulations

Sapir Gershov, Yaniv Ringel, Erez Dvir, Tzvia Tsirilman, Elad Ben Zvi

Gathering Information and Engaging the User ComBot: A Task-Based, Serendipitous Dialog Model for Patient-Doctor Interactions

Anna Liednikova, Philippe Jolivet, Alexandre Durand-Salmon, Claire Gardent

Towards Automating Medical Scribing : Clinic Visit Dialogue2Note Sentence Alignment and Snippet Summarization

Wen-wai Yim, Meliha Yetisgen

Would you like to tell me more? Generating a corpus of psychotherapy dialogues

Seyed Mahed Mousavi, Alessandra Cervone, Morena Danieli, Giuseppe Riccardi

Classification of Censored Tweets in Chinese Language using XLNet

Shaikh Sahil Ahmed, Anand Kumar M.

Transformers to Fight the COVID-19 Infodemic

Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi

Detecting Multilingual COVID-19 Misinformation on Social Media via Contextualized Embeddings

Subhadarshi Panda, Sarah Ita Levitan

Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

Georgios Tziafas, Konstantinos Kogkalidis, Tommaso Caselli

iCompass at NLP4IF-2021–Fighting the COVID-19 Infodemic

Wassim Henia, Oumayma Rjab, Hatem Haddad, Chayma Fourati

Multi Output Learning using Task Wise Attention for Predicting Binary Properties of Tweets : Shared-Task-On-Fighting the COVID-19 Infodemic

Ayush Suhane, Shreyas Kowshik

R00 at NLP4IF-2021 Fighting COVID-19 Infodemic with Transformers and More Transformers

Ahmed Qarqaz, Dia Abujaber, Malak Abdullah

NARNIA at NLP4IF-2021: Identification of Misinformation in COVID-19 Tweets Using BERTweet

Ankit Kumar, Naman Jhunjhunwala, Raksha Agarwal, Niladri Chatterjee

DamascusTeam at NLP4IF2021: Fighting the Arabic COVID-19 Infodemic on Twitter Using AraBERT

Ahmad Hussein, Nada Ghneim, Ammar Joukhadar

Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection

Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani

An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News

Chaoyuan Zuo, Qi Zhang, Ritwik Banerjee

MEAN: Multi-head Entity Aware Attention Networkfor Political Perspective Detection in News Media

Chang Li, Dan Goldwasser

AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking

Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov

Generalisability of Topic Models in Cross-corpora Abusive Language Detection

Tulika Bose, Irina Illina, Dominique Fohr

Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News

Ashkan Kazemi, Zehua Li, Veronica Perez-Rosas, Rada Mihalcea

Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline

Mika Hämäläinen, Khalid Alnajjar, Niko Partanen, Jack Rueter

Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models

Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski

Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking

Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate

Ilia Markov, Walter Daelemans

Improving Hate Speech Type and Target Detection with Hateful Metaphor Features

Jens Lemmens, Ilia Markov, Walter Daelemans

Identifying Automatically Generated Headlines using Transformers

Antonis Maronikolakis, Hinrich Schütze, Mark Stevenson

Learning to Select Question-Relevant Relations for Visual Question Answering

Jaewoong Lee, Heejoon Lee, Hwanhee Lee, Kyomin Jung

GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering

Weixin Liang, Yanhao Jiang, Zixuan Liu

Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA

Han Ding, Li Erran Li, Zhiting Hu, Yi Xu, Dilek Hakkani-Tur

A Package for Learning on Tabular and Text Data with Transformers

Ken Gu, Akshay Budhkar

¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline

Khalid Alnajjar, Mika Hämäläinen

Cold Start Problem For Automated Live Video Comments

Hao Wu, Francois Pitie, Gareth Jones

Modality-specific Distillation

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren

Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning

Shunta Nagasawa, Yotaro Watanabe, Hitoshi Iyatomi

Multi Task Learning based Framework for Multimodal Classification

Danting Zeng

A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations

Varun Nagaraj Rao, Xingjian Zhen, Karen Hovsepian, Mingwei Shen

COIN: Conversational Interactive Networks for Emotion Recognition in Conversation

Haidong Zhang, Yekun Chai

On Randomized Classification Layers and Their Implications in Natural Language Generation

Gal-Lev Shalev, Gabi Shalev, Joseph Keshet

Multimodal Weighted Fusion of Transformers for Movie Genre Classification

Isaac Rodríguez Bribiesca, Adrian Pastor Lopez Monroy, Manuel Montes-y-Gómez

Predicting Numerals in Natural Language Text Using a Language Model Considering the Quantitative Aspects of Numerals

Taku Sakamoto, Akiko Aizawa