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ACL 2022

1,617 papers

Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification

Maunika Tamire, Srinivas Anumasa, P. K. Srijith

An Interactive Analysis of User-reported Long COVID Symptoms using Twitter Data

Lin Miao, Mark Last, Marina Litvak

Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion

Seongmin Park, Jihwa Lee

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users

Anne Kreuter, Kai Sassenberg, Roman Klinger

Polite Task-oriented Dialog Agents: To Generate or to Rewrite?

Diogo Silva, David Semedo, Joao Magalhaes

Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer

Shuo Yang

NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter

Leo Obadić, Martin Tutek, Jan Šnajder

CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction

Allison Lahnala, Charles Welch, Lucie Flek

An Ensemble Approach to Detect Emotions at an Essay Level

Himanshu Maheshwari, Vasudeva Varma

SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion

Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo

Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction

Bin Li, Yixuan Weng, Qiya Song, Fuyan Ma, Bin Sun

Transformer-based Architecture for Empathy Prediction and Emotion Classification

Himil Vasava, Pramegh Uikey, Gaurav Wasnik, Raksha Sharma

Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection

Soumitra Ghosh, Dhirendra Maurya, Asif Ekbal, Pushpak Bhattacharyya

Transformer based ensemble for emotion detection

Aditya Kane, Shantanu Patankar, Sahil Khose, Neeraja Kirtane

Leveraging Emotion-Specific features to improve Transformer performance for Emotion Classification

Shaily Desai, Atharva Kshirsagar, Aditi Sidnerlikar, Nikhil Khodake, Manisha Marathe

Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models

Flor Miriam Del Arco, Jaime Collado-Montañez, L. Alfonso Ureña, María-Teresa Martín-Valdivia

Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification

Bin Li, Yixuan Weng, Qiya Song, Bin Sun, Shutao Li

IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection

Yue Chen, Yingnan Ju, Sandra Kübler

WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories

Valentin Barriere, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani

Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese

Rogério Sousa, Thiago Pardo

XLM-EMO: Multilingual Emotion Prediction in Social Media Text

Federico Bianchi, Debora Nozza, Dirk Hovy

Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features

Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann

Irony Detection for Dutch: a Venture into the Implicit

Aaron Maladry, Els Lefever, Cynthia Van Hee, Véronique Hoste

Distinguishing In-Groups and Onlookers by Language Use

Joshua Minot, Milo Trujillo, Samuel Rosenblatt, Guillermo De Anda-Jáuregui, Emily Moog

Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning

Chiyu Zhang, Muhammad Abdul-Mageed

Assessment of Massively Multilingual Sentiment Classifiers

Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Woźniak

English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network

Ying Hao Lim, Jasy Suet Yan Liew

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction

Ayal Klein, Oren Pereg, Daniel Korat, VASUDEV LAL, Moshe Wasserblat

Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations

Patrick John Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya

Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment

Matthew Matero, Albert Hung, H. Andrew Schwartz

Uncertainty Regularized Multi-Task Learning

Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine

Infusing Knowledge from Wikipedia to Enhance Stance Detection

Zihao He, Negar Mokhberian, Kristina Lerman

Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives

Seyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin, Giuseppe Riccardi

SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis

Ellen De Geyndt, Orphee De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh

“splink” is happy and “phrouth” is scary: Emotion Intensity Analysis for Nonsense Words

Valentino Sabbatino, Enrica Troiano, Antje Schweitzer, Roman Klinger

Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data

Zixuan Ke, Mohammad Kachuee, Sungjin Lee

Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining

Hao Lin, Pradeep Nalluri, Lantian Li, Yifan Sun, Yongjun Zhang

On the Complementarity of Images and Text for the Expression of Emotions in Social Media

Anna Khlyzova, Carina Silberer, Roman Klinger

Predicting Attention Sparsity in Transformers

Marcos Treviso, António Góis, Patrick Fernandes, Erick Fonseca, Andre Martins

Neural String Edit Distance

Jindřich Libovický, Alexander Fraser

A Joint Learning Approach for Semi-supervised Neural Topic Modeling

Jeffrey Chiu, Rajat Mittal, Neehal Tumma, Abhishek Sharma, Finale Doshi-velez

SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning

Daniel Daza, Michael Cochez, Paul Groth

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion

Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma

Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks

Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki

Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion

Shunsuke Kando, Hiroshi Noji, Yusuke Miyao

Knowledge Base Index Compression via Dimensionality and Precision Reduction

Vilém Zouhar, Marius Mosbach, Miaoran Zhang, Dietrich Klakow

Field Extraction from Forms with Unlabeled Data

Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong

Efficient Machine Translation Domain Adaptation

Pedro Martins, Zita Marinho, Andre Martins

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering

Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral

Improving Discriminative Learning for Zero-Shot Relation Extraction

Van-Hien Tran, Hiroki Ouchi, Taro Watanabe, Yuji Matsumoto

Challenges in assistive technology development for an endangered language: an Irish (Gaelic) perspective

Ailbhe Ni Chasaide, Emily Barnes, Neasa Ní Chiaráin, Ronan McGuirk, Oisín Morrin

CueBot: Cue-Controlled Response Generation for Assistive Interaction Usages

Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Max Pinaroc, Sai Prasad

Applying the Stereotype Content Model to assess disability bias in popular pre-trained NLP models underlying AI-based assistive technologies

Brienna Herold, James Waller, Raja Kushalnagar

On the Ethical Considerations of Text Simplification

Sian Gooding

Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability

Magali Norré, Vincent Vandeghinste, Thomas François, Pierrette Bouillon

Producing Standard German Subtitles for Swiss German TV Content

Johanna Gerlach, Jonathan Mutal, Pierrette Bouillon

A comparison study on patient-psychologist voice diarization

Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Agnes Sliwinski

A glimpse of assistive technology in daily life

Preethi Vaidyanathan, Angela Wislon, Doug Sawyer, Amy Diego, Augustine Webster

ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons

Matthew Daly

Design principles of an open-source language modeling microservice package for AAC text-entry applications

Brian Roark, Alexander Gutkin

WeaNF”:" Weak Supervision with Normalizing Flows

Andreas Stephan, Benjamin Roth

Same Author or Just Same Topic? Towards Content-Independent Style Representations

Anna Wegmann, Marijn Schraagen, Dong Nguyen

Zero-shot Cross-lingual Transfer is Under-specified Optimization

Shijie Wu, Benjamin Van Durme, Mark Dredze

On Target Representation in Continuous-output Neural Machine Translation

Evgeniia Tokarchuk, Vlad Niculae

Towards Improving Selective Prediction Ability of NLP Systems

Neeraj Varshney, Swaroop Mishra, Chitta Baral

On the Geometry of Concreteness

Christian Wartena

TRAttack: Text Rewriting Attack Against Text Retrieval

Junshuai Song, Jiangshan Zhang, Jifeng Zhu, Mengyun Tang, Yong Yang

A Study on Entity Linking Across Domains: Which Data is Best for Fine-Tuning?

Hassan Soliman, Heike Adel, Mohamed H. Gad-Elrab, Dragan Milchevski, Jannik Strötgen

Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison

Shaked Haim Meirom, Omer Bobrowski

Binary Encoded Word Mover’s Distance

Christian Johnson

Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations

Lukas Huber, Marc Alexander Kühn, Edoardo Mosca, Georg Groh

Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA

Adnen Abdessaied, Ekta Sood, Andreas Bulling

ANNA: Enhanced Language Representation for Question Answering

Changwook Jun, Hansol Jang, Myoseop Sim, Hyun Kim, Jooyoung Choi

Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations

Ioannis Dikeoulias, Saadullah Amin, Günter Neumann

Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models

Zhengxuan Wu, Nelson F. Liu, Christopher Potts

A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning

Md Mofijul Islam, Gustavo Aguilar, Pragaash Ponnusamy, Clint Solomon Mathialagan, Chengyuan Ma

Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations

Na Liu, Mark Dras, Wei Emma Zhang

Analyzing Gender Representation in Multilingual Models

Hila Gonen, Shauli Ravfogel, Yoav Goldberg

Clozer”:” Adaptable Data Augmentation for Cloze-style Reading Comprehension

Holy Lovenia, Bryan Wilie, Willy Chung, Zeng Min, Samuel Cahyawijaya

A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition

Yuxuan Chen, Jonas Mikkelsen, Arne Binder, Christoph Alt, Leonhard Hennig

From Hyperbolic Geometry Back to Word Embeddings

Zhenisbek Assylbekov, Sultan Nurmukhamedov, Arsen Sheverdin, Thomas Mach

When does CLIP generalize better than unimodal models? When judging human-centric concepts

Romain Bielawski, Benjamin Devillers, Tim Van de Cruys, Rufin VanRullen

Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty

Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine

Distributionally Robust Recurrent Decoders with Random Network Distillation

Antonio Valerio Miceli Barone, Alexandra Birch, Rico Sennrich

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models

Phyllis Ang, Bhuwan Dhingra, Lisa Wu Wills

Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection

Giuseppe Attanasio, Debora Nozza, Eliana Pastor, Dirk Hovy

DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference

Cristobal Eyzaguirre, Felipe del Rio, Vladimir Araujo, Alvaro Soto

Language Invariant Properties in Natural Language Processing

Federico Bianchi, Debora Nozza, Dirk Hovy

Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection

Pedro Henrique Luz de Araujo, Benjamin Roth

Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages

Kabir Ahuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury

A global analysis of metrics used for measuring performance in natural language processing

Kathrin Blagec, Georg Dorffner, Milad Moradi, Simon Ott, Matthias Samwald

Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization

Amr Keleg, Matthias Lindemann, Danyang Liu, Wanqiu Long, Bonnie L. Webber

Why only Micro-F1? Class Weighting of Measures for Relation Classification

David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model

Usman Naseem, Byoung Chan Lee, Matloob Khushi, Jinman Kim, Adam Dunn

Towards Stronger Adversarial Baselines Through Human-AI Collaboration

Wencong You, Daniel Lowd

Raison d’être of the benchmark dataset: A Survey of Current Practices of Benchmark Dataset Sharing Platforms

Jaihyun Park, Sullam Jeoung

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation

Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang

Toward Knowledge-Enriched Conversational Recommendation Systems

Tong Zhang, Yong Liu, Boyang Li, Peixiang Zhong, Chen Zhang

Stylistic Response Generation by Controlling Personality Traits and Intent

Sougata Saha, Souvik Das, Rohini Srihari

RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing

Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov