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ACL 2024

2,718 papers

Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping

Jinghui Zhang, Yuan Zhao, Siqin Zhang, Ruijing Zhao, Siyu Bao

WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT

Jon Davenport, Keren Ruditsky, Anna Batra, Yulha Lhawa, Gina-Anne Levow

Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task

Yao-Fei Cheng, Jeongyeob Hong, Andrew Wang, Anita Silva, Gina-Anne Levow

NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection

Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, Lung-Hao Lee

TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection

Long Cheng, Qihao Shao, Christine Zhao, Sheng Bi, Gina-Anne Levow

PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions

Jesús Vázquez-Osorio, Gerardo Sierra, Helena Gómez-adorno, Gemma Bel-Enguix

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection

Jakub Šmíd, Pavel Přibáň, Pavel Kral

HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection

Feng Xiong, Jun Wang, Geng Tu, Ruifeng Xu

Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection

Yuqi Wang, Zimu Wang, Nijia Han, Wei Wang, Qi Chen

Cross-lingual Emotion Detection through Large Language Models

Ram Mohan Rao Kadiyala

Findings of the WASSA 2024 EXALT shared task on Explainability for Cross-Lingual Emotion in Tweets

Aaron Maladry, Pranaydeep Singh, Els Lefever

ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in Conversations

Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho

EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language

Gyeongeun Lee, Zhu Wang, Sathya N. Ravi, Natalie Parde

Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays

Raphael Frick, Martin Steinebach

hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns

Huiyu Yang, Liting Huang, Tian Li, Nicolay Rusnachenko, Huizhi Liang

WASSA 2024 Shared Task: Enhancing Emotional Intelligence with Prompts

Svetlana Churina, Preetika Verma, Suchismita Tripathy

Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress

Rendi Chevi, Alham Aji

NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach

Emmanuel Osei-Brefo, Huizhi Liang

Empaths at WASSA 2024 Empathy and Personality Shared Task: Turn-Level Empathy Prediction Using Psychological Indicators

Shaz Furniturewala, Kokil Jaidka

Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns

Liting Huang, Huizhi Liang

Empathify at WASSA 2024 Empathy and Personality Shared Task: Contextualizing Empathy with a BERT-Based Context-Aware Approach for Empathy Detection

Arda Numanoğlu, Süleyman Ateş, Nihan Cicekli, Dilek Küçük

Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM’s Prediction with Role-play Augmentation and Contrastive Reasoning Calibration

Tian Li, Nicolay Rusnachenko, Huizhi Liang

RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress

Haein Kong, Seonghyeon Moon

Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions

Salvatore Giorgi, João Sedoc, Valentin Barriere, Shabnam Tafreshi

To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction

Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau

Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions

Neha Sharma, Kairit Sirts

LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma

Jana Juroš, Laura Majer, Jan Šnajder

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?

Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy

Subjectivity Theory vs. Speaker Intuitions: Explaining the Results of a Subjectivity Regressor Trained on Native Speaker Judgements

Elena Savinova, Jet Hoek

Estimation of Happiness Changes through Longitudinal Analysis of Employees’ Texts

Junko Hayashi, Kazuhiro Ito, Masae Manabe, Yasushi Watanabe, Masataka Nakayama

Loneliness Episodes: A Japanese Dataset for Loneliness Detection and Analysis

Naoya Fujikawa, Quang Toan Nguyen, Kazuhiro Ito, Shoko Wakamiya, Eiji Aramaki

Impact of Decoding Methods on Human Alignment of Conversational LLMs

Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma

Exploring Language Models to Analyze Market Demand Sentiments from News

Tirthankar Dasgupta, Manjira Sinha

POLygraph: Polish Fake News Dataset

Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński, Marek Kubis, Paweł Skórzewski

RideKE: Leveraging Low-resource, User-generated Twitter Content for Sentiment and Emotion Detection in Kenyaǹ Code-switched Dataset

Naome A. Etori, Maria L. Gini

Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines

Falwah Alhamed, Rebecca Bendayan, Julia Ive, Lucia Specia

Subjectivity Detection in English News using Large Language Models

Mohammad Shokri, Vivek Sharma, Elena Filatova, Shweta Jain, Sarah Levitan

Multi-Target User Stance Discovery on Reddit

Benjamin Steel, Derek Ruths

Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges

Pascale Feldkamp, Jan Kostkan, Ea Lindhardt Overgaard, Mia Jacobsen, Yuri Bizzoni

Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis

Aline Étienne, Delphine Battistelli, Gwénolé Lecorvé

Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic

Silvan Wehrli, Chisom Ezekannagha, Georges Hattab, Tamara Boender, Bert Arnrich

The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models

Xiliang Zhu, Shayna Gardiner, Tere Roldán, David Rossouw

Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning

Piotr Przybyła, Euan McGill, Horacio Saggion

Polarization of Autonomous Generative AI Agents Under Echo Chambers

Masaya Ohagi

MBIAS: Mitigating Bias in Large Language Models While Retaining Context

Shaina Raza, Ananya Raval, Veronica Chatrath

Entity-Level Sentiment: More than the Sum of Its Parts

Egil Rønningstad, Roman Klinger, Lilja Øvrelid, Erik Velldal

A Multi-Faceted NLP Analysis of Misinformation Spreaders in Twitter

Dimosthenis Antypas, Alun Preece, Jose Camacho-Collados

LLaMA-Based Models for Aspect-Based Sentiment Analysis

Jakub Šmíd, Pavel Přibáň, Pavel Kral

A Systematic Analysis on the Temporal Generalization of Language Models in Social Media

Asahi Ushio, Jose Camacho-Collados

Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection

Johannes Schäfer, Ulrich Heid, Roman Klinger

Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis

Zehong Yan, Wynne Hsu, Mong-Li Lee, David Bartram-Shaw

SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation

Barbara Gendron, Gaël Guibon

Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models

Kemal Kirtac, Guido Germano

JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering

Julia Belikova, Evegeniy Beliakin, Vasily Konovalov

Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions

Maria Lysyuk, Pavel Braslavski

NLPeople at TextGraphs-17 Shared Task: Chain of Thought Questioning to Elicit Decompositional Reasoning

Movina Moses, Vishnudev Kuruvanthodi, Mohab Elkaref, Shinnosuke Tanaka, James Barry

TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task

Mayank Rakesh, Parikshit Saikia, Saket Shrivastava

HW-TSC at TextGraphs-17 Shared Task: Enhancing Inference Capabilities of LLMs with Knowledge Graphs

Wei Tang, Xiaosong Qiao, Xiaofeng Zhao, Min Zhang, Chang Su

nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet

Nikita Kurdiukov, Viktoriia Zinkovich, Sergey Karpukhin, Pavel Tikhomirov

TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering

Andrey Sakhovskiy, Mikhail Salnikov, Irina Nikishina, Aida Usmanova, Angelie Kraft

Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM

Peiran Yao, Kostyantyn Guzhva, Denilson Barbosa

Leveraging Graph Structures to Detect Hallucinations in Large Language Models

Noa Nonkes, Sergei Agaronian, Evangelos Kanoulas, Roxana Petcu

Towards Understanding Attention-based Reasoning through Graph Structures in Medical Codes Classification

Noon Goldstein, Saadullah Amin, Günter Neumann

Prompt Me One More Time: A Two-Step Knowledge Extraction Pipeline with Ontology-Based Verification

Alla Chepurova, Yuri Kuratov, Aydar Bulatov, Mikhail Burtsev

Financial Product Ontology Population with Large Language Models

Chanatip Saetia, Jiratha Phruetthiset, Tawunrat Chalothorn, Monchai Lertsutthiwong, Supawat Taerungruang

Uniform Meaning Representation Parsing as a Pipelined Approach

Jayeol Chun, Nianwen Xue

ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings

William Brannon, Wonjune Kang, Suyash Fulay, Hang Jiang, Brandon Roy

Learning Human Action Representations from Temporal Context in Lifestyle Vlogs

Oana Ignat, Santiago Castro, Weiji Li, Rada Mihalcea

Occam’s Razor and Bender and Koller’s Octopus

Michael Guerzhoy

An Interactive Toolkit for Approachable NLP

AriaRay Brown, Julius Steuer, Marius Mosbach, Dietrich Klakow

Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal

Grusha Prasad, Forrest Davis

BELT: Building Endangered Language Technology

Michael Ginn, David Saavedra-Beltrán, Camilo Robayo, Alexis Palmer

Exploring Language Representation through a Resource Inventory Project

Carolyn Jane Anderson

Teaching Natural Language Processing in Law School

Daniel Braun

A Prompting Assignment for Exploring Pretrained LLMs

Carolyn Jane Anderson

A Course Shared Task on Evaluating LLM Output for Clinical Questions

Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li

Empowering the Future with Multilinguality and Language Diversity

En-Shiun Annie Lee, Kosei Uemura, Syed Mekael Wasti, Mason Shipton

Teaching LLMs at Charles University: Assignments and Activities

Jindřich Helcl, Zdeněk Kasner, Ondřej Dušek, Tomasz Limisiewicz, Dominik Macháček

Tightly Coupled Worksheets and Homework Assignments for NLP

Laura Biester, Winston Wu

From Hate Speech to Societal Empowerment: A Pedagogical Journey Through Computational Thinking and NLP for High School Students

Alessandra Teresa Cignarella, Elisa Chierchiello, Chiara Ferrando, Simona Frenda, Soda Marem Lo

Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing

Matthias Aßenmacher, Andreas Stephan, Leonie Weissweiler, Erion Çano, Ingo Ziegler

Co-Creational Teaching of Natural Language Processing

John P. McCrae

Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy

Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang

Industry vs Academia: Running a Course on Transformers in Two Setups

Irina Nikishina, Maria Tikhonova, Viktoriia Chekalina, Alexey Zaytsev, Artem Vazhentsev

Example-Driven Course Slides on Natural Language Processing Concepts

Natalie Parde

Documenting the Unwritten Curriculum of Student Research

Shomir Wilson

Collection of Japanese Route Information Reference Expressions Using Maps as Stimuli

Yoshiko Kawabata, Mai Omura, Hikari Konishi, Masayuki Asahara, Johane Takeuchi

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game

Philipp Sadler, Sherzod Hakimov, David Schlangen

Language-guided World Models: A Model-based Approach to AI Control

Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan

Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP

Dongfang Xu, Guillermo Garcia, Lisa Raithel, Philippe Thomas, Roland Roller

Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese

Lisa Raithel, Philippe Thomas, Bhuvanesh Verma, Roland Roller, Hui-Syuan Yeh

FORCE: A Benchmark Dataset for Foodborne Disease Outbreak and Recall Event Extraction from News

Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta

BIT@UA at #SMM4H 2024 Tasks 1 and 5: finding adverse drug events and children’s medical disorders in English tweets

Luís Carlos Afonso, João Rafael Almeida, Rui Antunes, José Luís Oliveira

TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization

Jacob Berkowitz, Apoorva Srinivasan, Jose Miguel Acitores Cortina, Nicholas P Tatonetti

712forTask7 at #SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models

Hafizh Yusuf, David Belmonte, Dalton Simancek, V.G.Vinod Vydiswaran

LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use

Valeria Fraga, Neha Nair, Dalton Simancek, V.G.Vinod Vydiswaran

KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies

Sumam Francis, Marie-Francine Moens

Team Yseop at #SMM4H 2024: Multilingual Pharmacovigilance Named Entity Recognition and Relation Extraction

Anubhav Gupta

HaleLab_NITK@SMM4H’24: Binary classification of English tweets reporting children’s medical disorders

Ritik Mahajan, Sowmya S.

LHS712_ADENotGood at #SMM4H 2024 Task 1: Deep-LLMADEminer: A deep learning and LLM pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter

Yifan Zheng, Jun Gong, Shushun Ren, Dalton Simancek, V.G.Vinod Vydiswaran