NAACL 2022

1,057 papers

Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers

Changmao Li, Jeffrey Flanigan

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts

Wenhao Yu, Chenguang Zhu, LIANHUI Qin, Zhihan Zhang, Tong Zhao

Comparing Distributional and Curated Approaches for Cross-lingual Frame Alignment

Collin F. Baker, Michael Ellsworth, Miriam R. L. Petruck, Arthur Lorenzi

Logical Story Representations via FrameNet + Semantic Parsing

Lane Lawley, Lenhart Schubert

Multi-sense Language Modelling

Andrea Lekkas, Peter Schneider-Kamp, Isabelle Augenstein

A Descriptive Study of Metaphors and Frames in the Multilingual Shared Annotation Task

Maucha Gamonal

Unified NMT models for the Indian subcontinent, transcending script-barriers

Gokul N.C.

Generating Complement Data for Aspect Term Extraction with GPT-2

Amir Pouran Ben Veyseh, Franck Dernoncourt, Bonan Min, Thien Huu Nguyen

Alternative non-BERT model choices for the textual classification in low-resource languages and environments

Syed Mustavi Maheen, Moshiur Rahman Faisal, Md. Rafakat Rahman, Md. Shahriar Karim

FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments

Dimitris Papadopoulos, Katerina Metropoulou, Nikolaos Papadakis, Nikolaos Matsatsinis

Unsupervised Knowledge Graph Generation Using Semantic Similarity Matching

Lixian Liu, Amin Omidvar, Zongyang Ma, Ameeta Agrawal, Aijun An

Clean or Annotate: How to Spend a Limited Data Collection Budget

Derek Chen, Zhou Yu, Samuel R. Bowman

Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimun

Ngoc Tan Le, Antoine Cadotte, Mathieu Boivin, Fatiha Sadat, Jimena Terraza

Few-shot Learning for Sumerian Named Entity Recognition

Guanghai Wang, Yudong Liu, James Hearne

AfriTeVA: Extending ?Small Data? Pretraining Approaches to Sequence-to-Sequence Models

Odunayo Jude Ogundepo, Akintunde Oladipo, Mofetoluwa Adeyemi, Kelechi Ogueji, Jimmy Lin

Let the Model Decide its Curriculum for Multitask Learning

Neeraj Varshney, Swaroop Mishra, Chitta Baral

Task Transfer and Domain Adaptation for Zero-Shot Question Answering

Xiang Pan, Alex Sheng, David Shimshoni, Aditya Singhal, Sara Rosenthal

Building an Event Extractor with Only a Few Examples

Pengfei Yu, Zixuan Zhang, Clare Voss, Jonathan May, Heng Ji

Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese

Kurt Micallef, Albert Gatt, Marc Tanti, Lonneke van der Plas, Claudia Borg

Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning

Xiliang Zhu, Shayna Gardiner, David Rossouw, Tere Roldán, Simon Corston-Oliver

Exploring diversity in back translation for low-resource machine translation

Laurie Burchell, Alexandra Birch, Kenneth Heafield

Help from the Neighbors: Estonian Dialect Normalization Using a Finnish Dialect Generator

Mika Hämäläinen, Khalid Alnajjar, Tuuli Tuisk

Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing

Melanie Rubino, Nicolas Guenon des mesnards, Uday Shah, Nanjiang Jiang, Weiqi Sun

ANTS: A Framework for Retrieval of Text Segments in Unstructured Documents

Brian Chivers, Mason P. Jiang, Wonhee Lee, Amy Ng, Natalya I. Rapstine

Generating unlabelled data for a tri-training approach in a low resourced NER task

Hugo Boulanger, Thomas Lavergne, Sophie Rosset

IDANI: Inference-time Domain Adaptation via Neuron-level Interventions

Omer Antverg, Eyal Ben-David, Yonatan Belinkov

Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference

Clara Vania, Grace Lee, Andrea Pierleoni

Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua

Rodolfo Zevallos, John Ortega, William Chen, Richard Castro, Núria Bel

Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair

Jason Phang, Angelica Chen, William Huang, Samuel R. Bowman

Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop

Damian Y. Romero Diaz, Magdalena Anioł, John Culnan

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.

Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi

Overconfidence in the Face of Ambiguity with Adversarial Data

Margaret Li, Julian Michael

Posthoc Verification and the Fallibility of the Ground Truth

Yifan Ding, Nicholas Botzer, Tim Weninger

GreaseVision: Rewriting the Rules of the Interface

Siddhartha Datta, Konrad Kollnig, Nigel Shadbolt

Resilience of Named Entity Recognition Models under Adversarial Attack

Sudeshna Das, Jiaul Paik

WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums

Adithya V Ganesan, Vasudha Varadarajan, Juhi Mittal, Shashanka Subrahmanya, Matthew Matero

Towards Capturing Changes in Mood and Identifying Suicidality Risk

Sravani Boinepelli, Shivansh Subramanian, Abhijeeth Singam, Tathagata Raha, Vasudeva Varma

Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data

Falwah Alhamed, Julia Ive, Lucia Specia

Multi-Task Learning to Capture Changes in Mood Over Time

Prasadith Kirinde Gamaarachchige, Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Diana Inkpen

Exploring transformers and time lag features for predicting changes in mood over time

John Culnan, Damian Romero Diaz, Steven Bethard

Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data

Ulya Bayram, Lamia Benhiba

Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning

Tayyaba Azim, Loitongbam Gyanendro Singh, Stuart E. Middleton

Capturing Changes in Mood Over Time in Longitudinal Data Using Ensemble Methodologies

Ana-Maria Bucur, Hyewon Jang, Farhana Ferdousi Liza

Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task

Hermenegildo Fabregat Marcos, Ander Cejudo, Juan Martinez-Romo, Alicia Pérez, Lourdes Araujo

Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts

Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim

Nonsuicidal Self-Injury and Substance Use Disorders: A Shared Language of Addiction

Salvatore Giorgi, Mckenzie Himelein-wachowiak, Daniel Habib, Lyle Ungar, Brenda Curtis

Measuring Linguistic Synchrony in Psychotherapy

Natalie Shapira, Dana Atzil-Slonim, Rivka Tuval Mashiach, Ori Shapira

Masking Morphosyntactic Categories to Evaluate Salience for Schizophrenia Diagnosis

Yaara Shriki, Ido Ziv, Nachum Dershowitz, Eiran Harel, Kfir Bar

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts

Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan

Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context

Kevin Lybarger, Justin Tauscher, Xiruo Ding, Dror Ben-zeev, Trevor Cohen

Detecting Suicidality with a Contextual Graph Neural Network

Daeun Lee, Migyeong Kang, Minji Kim, Jinyoung Han

Comparing emotion feature extraction approaches for predicting depression and anxiety

Hannah Burkhardt, Michael Pullmann, Thomas Hull, Patricia Areán, Trevor Cohen

Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses

Ankit Aich, Natalie Parde

Tracking Mental Health Risks and Coping Strategies in Healthcare Workers’ Online Conversations Across the COVID-19 Pandemic

Molly Ireland, Kaitlin Adams, Sean Farrell

Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses

Keith Harrigian, Mark Dredze

Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches

Maitrey Mehta, Derek Caperton, Katherine Axford, Lauren Weitzman, David Atkins

Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study

Sunghye Cho, Riccardo Fusaroli, Maggie Rose Pelella, Kimberly Tena, Azia Knox

Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks

Ayah Zirikly, Mark Dredze

The ethical role of computational linguistics in digital psychological formulation and suicide prevention.

Martin Orr, Kirsten Van Kessel, Dave Parry

DEPAC: a Corpus for Depression and Anxiety Detection from Speech

Mashrura Tasnim, Malikeh Ehghaghi, Brian Diep, Jekaterina Novikova

Exploring Text Representations for Generative Temporal Relation Extraction

Dmitriy Dligach, Steven Bethard, Timothy Miller, Guergana Savova

Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative

Lijing Wang, Timothy Miller, Steven Bethard, Guergana Savova

An exploratory data analysis: the performance differences of a medical code prediction system on different demographic groups

Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste

Clinical Flair: A Pre-Trained Language Model for Spanish Clinical Natural Language Processing

Matías Rojas, Jocelyn Dunstan, Fabián Villena

Learning to Ask Like a Physician

Eric Lehman, Vladislav Lialin, Katelyn Edelwina Legaspi, Anne Janelle Sy, Patricia Therese Pile

What Do You See in this Patient? Behavioral Testing of Clinical NLP Models

Betty van Aken, Sebastian Herrmann, Alexander Löser

Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource Language

Henning Schäfer, Ahmad Idrissi-Yaghir, Peter Horn, Christoph Friedrich

RRED : A Radiology Report Error Detector based on Deep Learning Framework

Dabin Min, Kaeun Kim, Jong Hyuk Lee, Yisak Kim, Chang Min Park

Fine-tuning BERT Models for Summarizing German Radiology Findings

Siting Liang, Klaus Kades, Matthias Fink, Peter Full, Tim Weber

m-Networks: Adapting the Triplet Networks for Acronym Disambiguation

Sandaru Seneviratne, Elena Daskalaki, Artem Lenskiy, Hanna Suominen

PLM-ICD: Automatic ICD Coding with Pretrained Language Models

Chao-Wei Huang, Shang-Chi Tsai, Yun-Nung Chen

CLPT: A Universal Annotation Scheme and Toolkit for Clinical Language Processing

Saranya Krishnamoorthy, Yanyi Jiang, William Buchanan, Ayush Singh, John Ortega

Incremental Disfluency Detection for Spoken Learner English

Lucy Skidmore, Roger Moore

Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task

Li-Hsin Chang, Jenna Kanerva, Filip Ginter

Response Construct Tagging: NLP-Aided Assessment for Engineering Education

Ananya Ganesh, Hugh Scribner, Jasdeep Singh, Katherine Goodman, Jean Hertzberg

Towards an open-domain chatbot for language practice

Gladys Tyen, Mark Brenchley, Andrew Caines, Paula Buttery

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill

Educational Multi-Question Generation for Reading Comprehension

Manav Rathod, Tony Tu, Katherine Stasaski

Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation

James Fiacco, Shiyan Jiang, David Adamson, Carolyn Rose

An Evaluation of Binary Comparative Lexical Complexity Models

Kai North, Marcos Zampieri, Matthew Shardlow

Educational Tools for Mapuzugun

Cristian Ahumada, Claudio Gutierrez, Antonios Anastasopoulos

‘Meet me at the ribary’ – Acceptability of spelling variants in free-text answers to listening comprehension prompts

Ronja Laarmann-Quante, Leska Schwarz, Andrea Horbach, Torsten Zesch

Selecting Context Clozes for Lightweight Reading Compliance

Greg Keim, Michael Littman

Parametrizable exercise generation from authentic texts: Effectively targeting the language means on the curriculum

Tanja Heck, Detmar Meurers

Assessing sentence readability for German language learners with broad linguistic modeling or readability formulas: When do linguistic insights make a difference?

Zarah Weiss, Detmar Meurers

ALEN App: Argumentative Writing Support To Foster English Language Learning

Thiemo Wambsganss, Andrew Caines, Paula Buttery

Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student Writing

Yuning Ding, Marie Bexte, Andrea Horbach

Marie Bexte, Andrea Horbach, Torsten Zesch

The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education

Roman Rietsche, Andrew Caines, Cornelius Schramm, Dominik Pfütze, Paula Buttery

Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations

Ekaterina Loginova, Dries Benoit

Activity focused Speech Recognition of Preschool Children in Early Childhood Classrooms

Satwik Dutta, Dwight Irvin, Jay Buzhardt, John H.L. Hansen

Cross-corpora experiments of automatic proficiency assessment and error detection for spoken English

Stefano Bannò, Marco Matassoni

Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics Classrooms

Abhijit Suresh, Jennifer Jacobs, Margaret Perkoff, James H. Martin, Tamara Sumner

Automatic True/False Question Generation for Educational Purpose

Bowei Zou, Pengfei Li, Liangming Pan, Ai Ti Aw

On Assessing and Developing Spoken ’Grammatical Error Correction’ Systems

Yiting Lu, Stefano Bannò, Mark Gales

Starting from “Zero”: An Incremental Zero-shot Learning Approach for Assessing Peer Feedback Comments

Qinjin Jia, Yupeng Cao, Edward Gehringer

A Dependency Treebank of Spoken Second Language English

Kristopher Kyle, Masaki Eguchi, Aaron Miller, Theodore Sither

Generation of Synthetic Error Data of Verb Order Errors for Swedish

Judit Casademont Moner, Elena Volodina

A Baseline Readability Model for Cebuano

Joseph Marvin Imperial, Lloyd Lois Antonie Reyes, Michael Antonio Ibanez, Ranz Sapinit, Mohammed Hussien

Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning

Lei Chen, Chenglin Jiang, Yiwei Gu, Yang Liu, Jiahong Yuan