NAACL 2021

941 papers

Towards Benchmarking the Utility of Explanations for Model Debugging

Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand

Interpreting Text Classifiers by Learning Context-sensitive Influence of Words

Sawan Kumar, Kalpit Dixit, Kashif Shah

Gender Bias in Natural Language Processing Across Human Languages

Abigail Matthews, Isabella Grasso, Christopher Mahoney, Yan Chen, Esma Wali

xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem

Samhita Vadrevu, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu

Accountable Error Characterization

Amita Misra, Zhe Liu, Jalal Mahmud

Private Release of Text Embedding Vectors

Oluwaseyi Feyisetan, Shiva Kasiviswanathan

Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use?

Hossein Azarpanah, Mohsen Farhadloo

Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder

Zheng Tang, Mihai Surdeanu

Textgraphs-15 Shared Task System Description : Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings

Sureshkumar Vivek Kalyan, Sam Witteveen, Martin Andrews

A Three-step Method for Multi-Hop Inference Explanation Regeneration

Yuejia Xiang, Yunyan Zhang, Xiaoming Shi, Bo Liu, Wandi Xu

DeepBlueAI at TextGraphs 2021 Shared Task: Treating Multi-Hop Inference Explanation Regeneration as A Ranking Problem

Chunguang Pan, Bingyan Song, Zhipeng Luo

TextGraphs 2021 Shared Task on Multi-Hop Inference for Explanation Regeneration

Mokanarangan Thayaparan, Marco Valentino, Peter Jansen, Dmitry Ustalov

Semi-Supervised Joint Estimation of Word and Document Readability

Yoshinari Fujinuma, Masato Hagiwara

On Geodesic Distances and Contextual Embedding Compression for Text Classification

Rishi Jha, Kai Mihata

Fine-grained General Entity Typing in German using GermaNet

Sabine Weber, Mark Steedman

GTN-ED: Event Detection Using Graph Transformer Networks

Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha, Di Liu, Joel Tetreault

MG-BERT: Multi-Graph Augmented BERT for Masked Language Modeling

Parishad BehnamGhader, Hossein Zakerinia, Mahdieh Soleymani Baghshah

Structural Realization with GGNNs

Jinman Zhao, Gerald Penn, huan ling

Improving Human Text Simplification with Sentence Fusion

Max Schwarzer, Teerapaun Tanprasert, David Kauchak

Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix

Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos Papadopoulos

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification

Xiaochen Hou, Jing Huang, Guangtao Wang, Peng Qi, Xiaodong He

WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset

Luyu Wang, Yujia Li, Özlem Aslan, Oriol Vinyals

Learning Clause Representation from Dependency-Anchor Graph for Connective Prediction

Yanjun Gao, Ting-Hao Huang, Rebecca J. Passonneau

GENE: Global Event Network Embedding

Qi Zeng, Manling Li, Tuan Lai, Heng Ji, Mohit Bansal

Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions

Duy Phung, Tuan Ngo Nguyen, Thien Huu Nguyen

Entity Prediction in Knowledge Graphs with Joint Embeddings

Matthias Baumgartner, Daniele Dell’Aglio, Abraham Bernstein

Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs

Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze

Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia

Yiping Jin, Vishakha Kadam, Dittaya Wanvarie

Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students

Ludovica Pannitto, Lucia Busso, Claudia Roberta Combei, Lucio Messina, Alessio Miaschi

Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities

Sowmya Vajjala

The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges

Beatrice Alex, Clare Llewellyn, Pawel Orzechowski, Maria Boutchkova

Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery

Alexandra Schofield, Richard Wicentowski, Julie Medero

On Writing a Textbook on Natural Language Processing

Jacob Eisenstein

Natural Language Processing for Computer Scientists and Data Scientists at a Large State University

Casey Kennington

Naive Bayes versus BERT: Jupyter notebook assignments for an introductory NLP course

Jennifer Foster, Joachim Wagner

Learning about Word Vector Representations and Deep Learning through Implementing Word2vec

David Jurgens

Interactive Assignments for Teaching Structured Neural NLP

David Gaddy, Daniel Fried, Nikita Kitaev, Mitchell Stern, Rodolfo Corona

Contemporary NLP Modeling in Six Comprehensive Programming Assignments

Greg Durrett, Jifan Chen, Shrey Desai, Tanya Goyal, Lucas Kabela

Introducing Information Retrieval for Biomedical Informatics Students

Sanya Taneja, Richard Boyce, William Reynolds, Denis Newman-Griffis

An Immersive Computational Text Analysis Course for Non-Computer Science Students at Barnard College

Adam Poliak, Jalisha Jenifer

Flamingos and Hedgehogs in the Croquet-Ground: Teaching Evaluation of NLP Systems for Undergraduate Students

Brielen Madureira

The Flipped Classroom model for teaching Conditional Random Fields in an NLP course

Manex Agirrezabal

Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge 2

Ronnie Smith

A Balanced and Broadly Targeted Computational Linguistics Curriculum

Emma Manning, Nathan Schneider, Amir Zeldes

Learning PyTorch Through A Neural Dependency Parsing Exercise

David Jurgens

From back to the roots into the gated woods: Deep learning for NLP

Barbara Plank

MiniVQA - A resource to build your tailored VQA competition

Jean-Benoit Delbrouck

A dissemination workshop for introducing young Italian students to NLP

Lucio Messina, Lucia Busso, Claudia Roberta Combei, Alessio Miaschi, Ludovica Pannitto

A Crash Course on Ethics for Natural Language Processing

Annemarie Friedrich, Torsten Zesch

Applied Language Technology: NLP for the Humanities

Tuomo Hiippala

A New Broad NLP Training from Speech to Knowledge

Maxime Amblard, Miguel Couceiro

Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts

Rebekah Baglini, Hermes Hjorth

Teaching a Massive Open Online Course on Natural Language Processing

Ekaterina Artemova, Murat Apishev, Denis Kirianov, Veronica Sarkisyan, Sergey Aksenov

Pedagogical Principles in the Online Teaching of Text Mining: A Retrospection

Rajkumar Saini, György Kovács, Mohamadreza Faridghasemnia, Hamam Mokayed, Oluwatosin Adewumi

Identifying Distributional Perspectives from Colingual Groups

Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng

Jujeop: Korean Puns for K-pop Stars on Social Media

Soyoung Oh, Jisu KIM, Seungpeel Lee, Eunil Park

Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp

Shuguang Chen, Leonardo Neves, Thamar Solorio

Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media

MeiXing Dong, Xueming Xu, Yiwei Zhang, Ian Stewart, Rada Mihalcea

PANDORA Talks: Personality and Demographics on Reddit

Matej Gjurković, Vanja Mladen Karan, Iva Vukojević, Mihaela Bošnjak, Jan Šnajder

Using Noisy Self-Reports to Predict Twitter User Demographics

Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze

Unsupervised Domain Adaptation in Cross-corpora Abusive Language Detection

Tulika Bose, Irina Illina, Dominique Fohr

Self-Contextualized Attention for Abusive Language Identification

Horacio Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes

Understanding and Interpreting the Impact of User Context in Hate Speech Detection

Edoardo Mosca, Maximilian Wich, Georg Groh

Reconsidering Annotator Disagreement about Racist Language: Noise or Signal?

Savannah Larimore, Ian Kennedy, Breon Haskett, Alina Arseniev-Koehler

Evaluating Deception Detection Model Robustness To Linguistic Variation

Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova

Assessing Cognitive Linguistic Influences in the Assignment of Blame

Karen Zhou, Ana Smith, Lillian Lee

Quantifying the Effects of COVID-19 on Restaurant Reviews

Ivy Cao, Zizhou Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano

A Case Study of In-House Competition for Ranking Constructive Comments in a News Service

Hayato Kobayashi, Hiroaki Taguchi, Yoshimune Tabuchi, Chahine Koleejan, Ken Kobayashi

Content-based Stance Classification of Tweets about the 2020 Italian Constitutional Referendum

Marco Di Giovanni, Marco Brambilla

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory

Shamik Roy, Dan Goldwasser

ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021

Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae

Approaching SMM4H with auto-regressive language models and back-translation

Joseph Cornelius, Tilia Ellendorff, Fabio Rinaldi

Identifying professions & occupations in Health-related Social Media using Natural Language Processing

Alberto Mesa Murgado, Ana Parras Portillo, Pilar López Úbeda, Maite Martin, Alfonso Ureña-López

Fine-tuning BERT to classify COVID19 tweets containing symptoms

Rajarshi Roychoudhury, Sudip Naskar

Classification of COVID19 tweets using Machine Learning Approaches

Anupam Mondal, Sainik Mahata, Monalisa Dey, Dipankar Das

Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets

Max Fleming, Priyanka Dondeti, Caitlin Dreisbach, Adam Poliak

Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media

Vasile Pais, Maria Mitrofan

PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets

Zongcheng Ji, Tian Xia, Mei Han

OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models

Ying Luo, Lis Pereira, Kobayashi Ichiro

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets

Varad Pimpalkhute, Prajwal Nakhate, Tausif Diwan

UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation

Frances Adriana Laureano De Leon, Harish Tayyar Madabushi, Mark Lee

Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning

Adarsh Kumar, Ojasv Kamal, Susmita Mazumdar

Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification

Pedro Ruas, Vitor Andrade, Francisco Couto

Identification of profession & occupation in Health-related Social Media using tweets in Spanish

Victoria Pachón, Jacinto Mata Vázquez, Juan Luís Domínguez Olmedo

NLP@NISER: Classification of COVID19 tweets containing symptoms

Deepak Kumar, Nalin Kumar, Subhankar Mishra

Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers

Lung-Hao Lee, Man-Chen Hung, Chien-Huan Lu, Chang-Hao Chen, Po-Lei Lee

Text Augmentation Techniques in Drug Adverse Effect Detection Task

Pavel Blinov

A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021

Mohab Elkaref, Lamiece Hassan

BERT based Adverse Drug Effect Tweet Classification

Tanay Kayastha, Pranjal Gupta, Pushpak Bhattacharyya

Neural Text Classification and Stacked Heterogeneous Embeddings for Named Entity Recognition in SMM4H 2021

Usama Yaseen, Stefan Langer

Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks

Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen

Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media

Sergio Santamaría Carrasco, Roberto Cuervo Rosillo

System description for ProfNER - SMMH: Optimized finetuning of a pretrained transformer and word vectors

David Carreto Fidalgo, Daniel Vila-Suero, Francisco Aranda Montes, Ignacio Talavera Cepeda

UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts

Alberto Valdes, Jesus Lopez, Manuel Montes

BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter

Alham Fikri Aji, Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Radityo Eko Prasojo, Tirana Fatyanosa

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications

Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker

Transformer-based Multi-Task Learning for Adverse Effect Mention Analysis in Tweets

George-Andrei Dima, Dumitru-Clementin Cercel, Mihai Dascalu

KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects

Andrey Sakhovskiy, Zulfat Miftahutdinov, Elena Tutubalina

BERT based Transformers lead the way in Extraction of Health Information from Social Media

Sidharth Ramesh, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021

Arjun Magge, Ari Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova