ACL 2022

1,617 papers

CURIE: An Iterative Querying Approach for Reasoning About Situations

Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye

Knowledge-Augmented Language Models for Cause-Effect Relation Classification

Pedram Hosseini, David A. Broniatowski, Mona Diab

Materialized Knowledge Bases from Commonsense Transformers

Tuan-Phong Nguyen, Simon Razniewski

Bridging the Gap between Recognition-level Pre-training and Commonsensical Vision-language Tasks

Yue Wan, YueEn Ma, Haoxuan You, Zhecan Wang, Shih-fu Chang

Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning

Yan Cong

Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian

Fajri Koto, Timothy Baldwin, Jey Han Lau

Identifying relevant common sense information in knowledge graphs

Guy Aglionby, Simone Teufel

Detecting False Claims in Low-Resource Regions: A Case Study of Caribbean Islands

Jason Lucas, Limeng Cui, Thai Le, Dongwon Lee

How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image

Hyewon Choi, Yejun Yoon, Seunghyun Yoon, Kunwoo Park

M-BAD: A Multilabel Dataset for Detecting Aggressive Texts and Their Targets

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque

Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation

Megha Sundriyal, Ganeshan Malhotra, Md Shad Akhtar, Shubhashis Sengupta, Andrew Fano

Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance

Syrielle Montariol, Étienne Simon, Arij Riabi, Djamé Seddah

Detecting the Role of an Entity in Harmful Memes: Techniques and their Limitations

Rabindra Nath Nandi, Firoj Alam, Preslav Nakov

Combining Language Models and Linguistic Information to Label Entities in Memes

Pranaydeep Singh, Aaron Maladry, Els Lefever

Logically at the Constraint 2022: Multimodal role labelling

Ludovic Kun, Jayesh Bankoti, David Kiskovski

Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.

Shaik Fharook, Syed Sufyan Ahmed, Gurram Rithika, Sumith Sai Budde, Sunil Saumya

DD-TIG at Constraint@ACL2022: Multimodal Understanding and Reasoning for Role Labeling of Entities in Hateful Memes

Ziming Zhou, Han Zhao, Jingjing Dong, Jun Gao, Xiaolong Liu

Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes

Shivam Sharma, Tharun Suresh, Atharva Kulkarni, Himanshi Mathur, Preslav Nakov

Enhancing Documentation of Hupa with Automatic Speech Recognition

Zoey Liu, Justin Spence, Emily Prud’hommeaux

Morphologically annotated corpora of Pomak

Ritván Jusúf Karahóǧa, Panagiotis G. Krimpas, Vivian Stamou, Vasileios Arampatzakis, Dimitrios Karamatskos

Fine-tuning pre-trained models for Automatic Speech Recognition, experiments on a fieldwork corpus of Japhug (Trans-Himalayan family)

Séverine Guillaume, Guillaume Wisniewski, Cécile Macaire, Guillaume Jacques, Alexis Michaud

A Word-and-Paradigm Workflow for Fieldwork Annotation

Maria Copot, Sara Court, Noah Diewald, Stephanie Antetomaso, Micha Elsner

Reusing a Multi-lingual Setup to Bootstrap a Grammar Checker for a Very Low Resource Language without Data

Inga Lill Sigga Mikkelsen, Linda Wiechetek, Flammie A Pirinen

Using Graph-Based Methods to Augment Online Dictionaries of Endangered Languages

Khalid Alnajjar, Mika Hämäläinen, Niko Tapio Partanen, Jack Rueter

Faoi Gheasa an adaptive game for Irish language learning

Liang Xu, Elaine Uí Dhonnchadha, Monica Ward

Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?

Santiago Góngora, Nicolás Giossa, Luis Chiruzzo

Closing the NLP Gap: Documentary Linguistics and NLP Need a Shared Software Infrastructure

Luke Gessler

Using Speech and NLP Resources to build an iCALL platform for a minority language, the story of An Scéalaí, the Irish experience to date

Neasa Ní Chiaráin, Oisín Nolan, Madeleine Comtois, Neimhin Robinson Gunning, Harald Berthelsen

Challenges and Perspectives for Innu-Aimun within Indigenous Language Technologies

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

Developing a Part-Of-Speech tagger for te reo Māori

Aoife Finn, Peter-Lucas Jones, Keoni Mahelona, Suzanne Duncan, Gianna Leoni

Learning Through Transcription

Mat Bettinson, Steven Bird

Recovering Text from Endangered Languages Corrupted PDF documents

Nicolas Stefanovitch

Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages

Branislav Bédi, Hakeem Beedar, Belinda Chiera, Nedelina Ivanova, Christèle Maizonniaux

Shallow Parsing for Nepal Bhasa Complement Clauses

Borui Zhang, Abe Kazemzadeh, Brian Reese

Gi2Pi Rule-based, index-preserving grapheme-to-phoneme transformations

Aidan Pine, Patrick William Littell, Eric Joanis, David Huggins-Daines, Christopher Cox

Automated speech tools for helping communities process restricted-access corpora for language revival efforts

Nay San, Martijn Bartelds, Tolúlọpẹ́ Ògúnrẹ̀mí, Alison Mount, Ruben Thompson

One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes

Farhan Samir, Miikka Silfverberg

CLD² Language Documentation Meets Natural Language Processing for Revitalising Endangered Languages

Roberto Zariquiey, Arturo Oncevay, Javier Vera

Corpus Development of Kiswahili Speech Recognition Test and Evaluation sets, Preemptively Mitigating Demographic Bias Through Collaboration with Linguists

Kathleen Siminyu, Kibibi Mohamed Amran, Abdulrahman Ndegwa Karatu, Mnata Resani, Mwimbi Makobo Junior

New syntactic insights for automated Wolof Universal Dependency parsing

Bill Dyer

Development of the Siberian Ingrian Finnish Speech Corpus

Ivan Ubaleht, Taisto-Kalevi Raudalainen

Team DMG at CMCL 2022 Shared Task: Transformer Adapters for the Multi- and Cross-Lingual Prediction of Human Reading Behavior

Ece Takmaz

Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models

Sunit Bhattacharya, Rishu Kumar, Ondřej Bojar

CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior

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

HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features

Lavinia Salicchi, Rong Xiang, Yu-Yin Hsu

NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space

Joseph Marvin Imperial

Poirot at CMCL 2022 Shared Task: Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models

Harshvardhan Srivastava

About Time: Do Transformers Learn Temporal Verbal Aspect?

Eleni Metheniti, Tim Van de Cruys, Nabil Hathout

Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences

Joshua Bensemann, Alex Peng, Diana Benavides-Prado, Yang Chen, Neset Tan

Predicting scalar diversity with context-driven uncertainty over alternatives

Jennifer Hu, Roger Levy, Sebastian Schuster

Modeling the Relationship between Input Distributions and Learning Trajectories with the Tolerance Principle

Jordan Kodner

Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model

Richard Futrell

Codenames as a Game of Co-occurrence Counting

Réka Cserháti, Istvan Kollath, András Kicsi, Gábor Berend

Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP

Ece Takmaz, Sandro Pezzelle, Raquel Fernández

Visually Grounded Interpretation of Noun-Noun Compounds in English

Inga Lang, Lonneke Plas, Malvina Nissim, Albert Gatt

A Neural Model for Compositional Word Embeddings and Sentence Processing

Shalom Lappin, Jean-Philippe Bernardy

Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge

Danny Merkx, Stefan Frank, Mirjam Ernestus

DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem

Wojciech Kusa, Georgios Peikos, Óscar Espitia, Allan Hanbury, Gabriella Pasi

Towards Generalizable Methods for Automating Risk Score Calculation

Jennifer J Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan

Model Distillation for Faithful Explanations of Medical Code Predictions

Zach Wood-Doughty, Isabel Cachola, Mark Dredze

Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models

Sidhant Chandak, Liqing Zhang, Connor Brown, Lifu Huang

Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding

Matúš Falis, Hang Dong, Alexandra Birch, Beatrice Alex

Utility Preservation of Clinical Text After De-Identification

Thomas Vakili, Hercules Dalianis

Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets

Mourad Sarrouti, Carson Tao, Yoann Mamy Randriamihaja

Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record

Kevin Xie, Brian Litt, Dan Roth, Colin A. Ellis

EchoGen: Generating Conclusions from Echocardiogram Notes

Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett

DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature

Anjani Dhrangadhariya, Henning Müller

Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation

Hillary Ngai, Frank Rudzicz

ICDBigBird: A Contextual Embedding Model for ICD Code Classification

George Michalopoulos, Michal Malyska, Nicola Sahar, Alexander Wong, Helen Chen

BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)

Salim Sazzed

Improving Romanian BioNER Using a Biologically Inspired System

Maria Mitrofan, Vasile Pais

Data Augmentation for Rare Symptoms in Vaccine Side-Effect Detection

Bosung Kim, Ndapa Nakashole

BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question Answering

Xing David Wang, Ulf Leser, Leon Weber

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

Avisha Das, Salih Selek, Alia R. Warner, Xu Zuo, Yan Hu

Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations

Russell Richie, Sachin Grover, Fuchiang (Rich) Tsui

Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering

Deepak Gupta, Dina Demner-Fushman

Low Resource Causal Event Detection from Biomedical Literature

Zhengzhong Liang, Enrique Noriega-Atala, Clayton Morrison, Mihai Surdeanu

BioCite: A Deep Learning-based Citation Linkage Framework for Biomedical Research Articles

Sudipta Singha Roy, Robert E. Mercer

GenCompareSum: a hybrid unsupervised summarization method using salience

Jennifer Bishop, Qianqian Xie, Sophia Ananiadou

VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification

Bin Li, Yixuan Weng, Fei Xia, Bin Sun, Shutao Li

Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts

Saadullah Amin, Noon Pokaratsiri Goldstein, Morgan Wixted, Alejandro Garcia-Rudolph, Catalina Martínez-Costa

Pretrained Biomedical Language Models for Clinical NLP in Spanish

Casimiro Pio Carrino, Joan Llop, Marc Pàmies, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé

Intra-Template Entity Compatibility based Slot-Filling for Clinical Trial Information Extraction

Christian Witte, Philipp Cimiano

Named Entity Recognition for Cancer Immunology Research Using Distant Supervision

Hai-Long Trieu, Makoto Miwa, Sophia Ananiadou

Improving Supervised Drug-Protein Relation Extraction with Distantly Supervised Models

Naoki Iinuma, Makoto Miwa, Yutaka Sasaki

Biomedical NER using Novel Schema and Distant Supervision

Anshita Khandelwal, Alok Kar, Veera Raghavendra Chikka, Kamalakar Karlapalem

SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study

Samuel Cahyawijaya, Tiezheng Yu, Zihan Liu, Xiaopu Zhou, Tze Wing Tiffany Mak

Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data

Taiki Watanabe, Tomoya Ichikawa, Akihiro Tamura, Tomoya Iwakura, Chunpeng Ma

Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts

Uyen Phan, Nhung Nguyen

Memory-aligned Knowledge Graph for Clinically Accurate Radiology Image Report Generation

Sixing Yan

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation

Usman Naseem, Ajay Bandi, Shaina Raza, Junaid Rashid, Bharathi Raja Chakravarthi

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model

Hongyi Yuan, Zheng Yuan, Ruyi Gan, Jiaxing Zhang, Yutao Xie

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations

Sihang Zeng, Zheng Yuan, Sheng Yu

Slot Filling for Biomedical Information Extraction

Yannis Papanikolaou, Marlene Staib, Justin Joshua Grace, Francine Bennett

Data Augmentation for Biomedical Factoid Question Answering

Dimitris Pappas, Prodromos Malakasiotis, Ion Androutsopoulos

Zero-Shot Aspect-Based Scientific Document Summarization using Self-Supervised Pre-training

Amir Soleimani, Vassilina Nikoulina, Benoit Favre, Salah Ait Mokhtar

How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection

Shahla Farzana, Ashwin Deshpande, Natalie Parde

Position-based Prompting for Health Outcome Generation

Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd

A sequence-to-sequence approach for document-level relation extraction

John Giorgi, Gary Bader, Bo Wang

Explainable Assessment of Healthcare Articles with QA

Alodie Boissonnet, Marzieh Saeidi, Vassilis Plachouras, Andreas Vlachos