NAACL 2021

941 papers

Attention vs non-attention for a Shapley-based explanation method

Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes

What BERTs and GPTs know about your brand? Probing contextual language models for affect associations

Vivek Srivastava, Stephen Pilli, Savita Bhat, Niranjan Pedanekar, Shirish Karande

Multi-input Recurrent Independent Mechanisms for leveraging knowledge sources: Case studies on sentiment analysis and health text mining

Parsa Bagherzadeh, Sabine Bergler

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification

Hyeju Jang, Seojin Bang, Wen Xiao, Giuseppe Carenini, Raymond Ng

Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations

Geetanjali Bihani, Julia Rayz

Enhancing Multiple-Choice Question Answering with Causal Knowledge

Dhairya Dalal, Mihael Arcan, Paul Buitelaar

ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI

Lisa Bauer, Lingjia Deng, Mohit Bansal

How Do BERT Embeddings Organize Linguistic Knowledge?

Giovanni Puccetti, Alessio Miaschi, Felice Dell’Orletta

What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity

Alessio Miaschi, Dominique Brunato, Felice Dell’Orletta, Giulia Venturi

Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs

Junjie Wu, Hao Zhou

Investigating the Effect of Background Knowledge on Natural Questions

Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William Cohen

Reconstructing Implicit Knowledge with Language Models

Maria Becker, Siting Liang, Anette Frank

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors

Zeyu Yun, Yubei Chen, Bruno Olshausen, Yann LeCun

A Computational Model for Interactive Transcription

William Lane, Mat Bettinson, Steven Bird

Everyday Living Artificial Intelligence Hub

Raymond Finzel, Esha Singh, Martin Michalowski, Maria Gini, Serguei Pakhomov

TopGuNN: Fast NLP Training Data Augmentation using Large Corpora

Rebecca Iglesias-Flores, Megha Mishra, Ajay Patel, Akanksha Malhotra, Reno Kriz

CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation

Dustin Arendt, Zhuanyi Shaw, Prasha Shrestha, Ellyn Ayton, Maria Glenski

Evaluating and Explaining Natural Language Generation with GenX

Kayla Duskin, Shivam Sharma, Ji Young Yun, Emily Saldanha, Dustin Arendt

Building Low-Resource NER Models Using Non-Speaker Annotations

Tatiana Tsygankova, Francesca Marini, Stephen Mayhew, Dan Roth

Data Cleaning Tools for Token Classification Tasks

Karthik Muthuraman, Frederick Reiss, Hong Xu, Bryan Cutler, Zachary Eichenberger

Towards integrated, interactive, and extensible text data analytics with Leam

Peter Griggs, Cagatay Demiralp, Sajjadur Rahman

Active learning and negative evidence for language identification

Thomas Lippincott, Ben Van Durme

Bridging Multi-disciplinary Collaboration Challenges in ML Development via Domain Knowledge Elicitation

Soya Park

Human-In-The-LoopEntity Linking for Low Resource Domains

Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych

Semi-supervised Interactive Intent Labeling

Saurav Sahay, Eda Okur, Nagib Hakim, Lama Nachman

A Visualization Approach for Rapid Labeling of Clinical Notes for Smoking Status Extraction

Saman Enayati, Ziyu Yang, Benjamin Lu, Slobodan Vucetic

ViziTex: Interactive Visual Sense-Making of Text Corpora

Natraj Raman, Sameena Shah, Tucker Balch, Manuela Veloso

It is better to Verify: Semi-Supervised Learning with a human in the loop for large-scale NLU models

Verena Weber, Enrico Piovano, Melanie Bradford

Leveraging Wikipedia Navigational Templates for Curating Domain-Specific Fuzzy Conceptual Bases

Krati Saxena, Tushita Singh, Ashwini Patil, Sagar Sunkle, Vinay Kulkarni

Contributions of Propositional Content and Syntactic Category Information in Sentence Processing

Byung-Doh Oh, William Schuler

Graph-theoretic Properties of the Class of Phonological Neighbourhood Networks

Rory Turnbull

Relation Classification with Cognitive Attention Supervision

Erik McGuire, Noriko Tomuro

Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models

Steven Derby, Paul Miller, Barry Devereux

Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks

Mitja Nikolaus, Abdellah Fourtassi

Sentence Complexity in Context

Benedetta Iavarone, Dominique Brunato, Felice Dell’Orletta

Modeling Sentence Comprehension Deficits in Aphasia: A Computational Evaluation of the Direct-access Model of Retrieval

Paula Lissón, Dorothea Pregla, Dario Paape, Frank Burchert, Nicole Stadie

Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading Times

Neil Rathi

Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication

Kartik Sharma, Niyati Bafna, Samar Husain

Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction

Jonathan Dunn, Andrea Nini

Enhancing Cognitive Models of Emotions with Representation Learning

Yuting Guo, Jinho D. Choi

Team ReadMe at CMCL 2021 Shared Task: Predicting Human Reading Patterns by Traditional Oculomotor Control Models and Machine Learning

Alisan Balkoca, Abdullah Algan, Cengiz Acarturk, Çağrı Çöltekin

CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns

Peter Vickers, Rosa Wainwright, Harish Tayyar Madabushi, Aline Villavicencio

KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral Information

Qi Yu, Aikaterini-Lida Kalouli, Diego Frassinelli

MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features

Shivani Choudhary, Kushagri Tandon, Raksha Agarwal, Niladri Chatterjee

TALEP at CMCL 2021 Shared Task: Non Linear Combination of Low and High-Level Features for Predicting Eye-Tracking Data

Franck Dary, Alexis Nasr, Abdellah Fourtassi

PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading Patterns.

Lavinia Salicchi, Alessandro Lenci

Team Ohio State at CMCL 2021 Shared Task: Fine-Tuned RoBERTa for Eye-Tracking Data Prediction

Byung-Doh Oh

LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach

Yves Bestgen

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction

Bai Li, Frank Rudzicz

LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree Regressors

Raksha Agarwal, Niladri Chatterjee

CMCL 2021 Shared Task on Eye-Tracking Prediction

Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prevot

Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention

Soo Hyun Ryu, Richard Lewis

That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models

Gabriele Sarti, Dominique Brunato, Felice Dell’Orletta

A Multinomial Processing Tree Model of RC Attachment

Pavel Logacev, Noyan Dokudan

Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar

Miloš Stanojević, Shohini Bhattasali, Donald Dunagan, Luca Campanelli, Mark Steedman

Human Sentence Processing: Recurrence or Attention?

Danny Merkx, Stefan L. Frank

Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words

Kalyan Ramakrishnan, Fatma Deniz

Understanding Patterns of Anorexia Manifestations in Social Media Data with Deep Learning

Ana Sabina Uban, Berta Chulvi, Paolo Rosso

Towards Understanding the Role of Gender in Deploying Social Media-Based Mental Health Surveillance Models

Eli Sherman, Keith Harrigian, Carlos Aguirre, Mark Dredze

Towards Low-Resource Real-Time Assessment of Empathy in Counselling

Zixiu Wu, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni

Towards the Development of Speech-Based Measures of Stress Response in Individuals

Archna Bhatia, Toshiya Miyatsu, Peter Pirolli

Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment

Chelsea Chandler, Peter Foltz, Alex Cohen, Terje Holmlund, Brita Elvevåg

Qualitative Analysis of Depression Models by Demographics

Carlos Aguirre, Mark Dredze

Evaluating Automatic Speech Recognition Quality and Its Impact on Counselor Utterance Coding

Do June Min, Veronica Perez-Rosas, Rada Mihalcea

Detecting Cognitive Distortions from Patient-Therapist Interactions

Sagarika Shreevastava, Peter Foltz

Automated coherence measures fail to index thought disorder in individuals at risk for psychosis

Kasia Hitczenko, Henry Cowan, Vijay Mittal, Matthew Goldrick

Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions

Adam Tsakalidis, Dana Atzil-Slonim, Asaf Polakovski, Natalie Shapira, Rivka Tuval-Mashiach

Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts

Zhengping Jiang, Jonathan Zomick, Sarah Ita Levitan, Mark Serper, Julia Hirschberg

Analysis of Behavior Classification in Motivational Interviewing

Leili Tavabi, Trang Tran, Kalin Stefanov, Brian Borsari, Joshua Woolley

Using Psychologically-Informed Priors for Suicide Prediction in the CLPsych 2021 Shared Task

Avi Gamoran, Yonatan Kaplan, Almog Simchon, Michael Gilead

Team 9: A Comparison of Simple vs. Complex Models for Suicide Risk Assessment

Michelle Morales, Prajjalita Dey, Kriti Kohli

Suicide Risk Prediction by Tracking Self-Harm Aspects in Tweets: NUS-IDS at the CLPsych 2021 Shared Task

Sujatha Das Gollapalli, Guilherme Augusto Zagatti, See-Kiong Ng

Learning Models for Suicide Prediction from Social Media Posts

Ning Wang, Luo Fan, Yuvraj Shivtare, Varsha Badal, Koduvayur Subbalakshmi

Determining a Person’s Suicide Risk by Voting on the Short-Term History of Tweets for the CLPsych 2021 Shared Task

Ulya Bayram, Lamia Benhiba

Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task

Sean MacAvaney, Anjali Mittu, Glen Coppersmith, Jeff Leintz, Philip Resnik

Hebrew Psychological Lexicons

Natalie Shapira, Dana Atzil-Slonim, Daniel Juravski, Moran Baruch, Dana Stolowicz-Melman

Demonstrating the Reliability of Self-Annotated Emotion Data

Anton Malko, Cecile Paris, Andreas Duenser, Maria Kangas, Diego Molla

Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia

Hali Lindsay, Philipp Mueller, Nicklas Linz, Radia Zeghari, Mario Mina

Individual Differences in the Movement-Mood Relationship in Digital Life Data

Glen Coppersmith, Alex Fine, Patrick Crutchley, Joshua Carroll

On the State of Social Media Data for Mental Health Research

Keith Harrigian, Carlos Aguirre, Mark Dredze

Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis

Glorianna Jagfeld, Fiona Lobban, Paul Rayson, Steven Jones

Are Multilingual Models Effective in Code-Switching?

Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto

Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar

Chihiro Taguchi, Yusuke Sakai, Taro Watanabe

Developing ASR for Indonesian-English Bilingual Language Teaching

Zara Maxwell-Smith, Ben Foley

Abusive content detection in transliterated Bengali-English social media corpus

Salim Sazzed

Normalization and Back-Transliteration for Code-Switched Data

Dwija Parikh, Thamar Solorio

CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing

Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W Black

Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data

Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi, Alan W Black

On the logistical difficulties and findings of Jopara Sentiment Analysis

Marvin Agüero-Torales, David Vilares, Antonio López-Herrera

Can You Traducir This? Machine Translation for Code-Switched Input

Jitao Xu, François Yvon

A Language-aware Approach to Code-switched Morphological Tagging

Şaziye Betül Özateş, Özlem Çetinoğlu

Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get?

Dana-Maria Iliescu, Rasmus Grand, Sara Qirko, Rob van der Goot

Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation

El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed

CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

Devansh Gautam, Prashant Kodali, Kshitij Gupta, Anmol Goel, Manish Shrivastava

Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing

Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks Lakshmanan, V.S.

IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus

Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya

Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation.

Suman Dowlagar, Radhika Mamidi

Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data

Devansh Gautam, Kshitij Gupta, Manish Shrivastava

Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text

Vivek Srivastava, Mayank Singh

Political Discourse Analysis: A Case Study of Code Mixing and Code Switching in Political Speeches

Dama Sravani, Lalitha Kameswari, Radhika Mamidi