EACL 2024

766 papers

Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis

Wenchang Li, Yixing Chen, Shuang Zheng, Lei Wang, John Lalor

Topic Bias in Emotion Classification

Maximilian Wegge, Roman Klinger

The Effects of Data Quality on Named Entity Recognition

Divya Bhadauria, Alejandro Sierra Múnera, Ralf Krestel

MaintNorm: A corpus and benchmark model for lexical normalisation and masking of industrial maintenance short text

Tyler Bikaun, Melinda Hodkiewicz, Wei Liu

Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces

Baber Khalid, Shuyang Dai, Tara Taghavi, Sungjin Lee

A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts

Kazi Toufique Elahi, Tasnuva Binte Rahman, Shakil Shahriar, Samir Sarker, Md. Tanvir Rouf Shawon

Stanceosaurus 2.0 - Classifying Stance Towards Russian and Spanish Misinformation

Anton Lavrouk, Ian Ligon, Jonathan Zheng, Tarek Naous, Wei Xu

Effects of different types of noise in user-generated reviews on human and machine translations including ChatGPT

Maja Popović, Ekaterina Lapshinova-Koltunski, Maarit Koponen

Context-aware Adversarial Attack on Named Entity Recognition

Shuguang Chen, Leonardo Neves, Thamar Solorio

Correcting Challenging Finnish Learner Texts With Claude, GPT-3.5 and GPT-4 Large Language Models

Mathias Creutz

Colour Me Uncertain: Representing Vagueness with Probabilistic Semantics

Kin Chun Cheung, Guy Emerson

Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations

Siyao Peng, Zihang Sun, Sebastian Loftus, Barbara Plank

Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification

Geraud Faye, Benjamin Icard, Morgane Casanova, Julien Chanson, François Maine

Below the Sea (with the Sharks): Probing Textual Features of Implicit Sentiment in a Literary Case-study

Yuri Bizzoni, Pascale Feldkamp

Assessing the Significance of Encoded Information in Contextualized Representations to Word Sense Disambiguation

Deniz Ekin Yavas

Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration

Xiliang Zhu, Chia-Tien Chang, Shayna Gardiner, David Rossouw, Jonas Robertson

More Labels or Cases? Assessing Label Variation in Natural Language Inference

Cornelia Gruber, Katharina Hechinger, Matthias Assenmacher, Göran Kauermann, Barbara Plank

Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests

Brielen Madureira, David Schlangen

Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models

Adarsa Sivaprasad, Ehud Reiter

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation

Mauricio Rivera, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine

Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations

Abhishek Anand, Negar Mokhberian, Prathyusha Kumar, Anweasha Saha, Zihao He

Uncertainty Resolution in Misinformation Detection

Yury Orlovskiy, Camille Thibault, Anne Imouza, Jean-François Godbout, Reihaneh Rabbany

The Effect of Generalisation on the Inadequacy of the Mode

Bryan Eikema

Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity

Jacob Beck, Stephanie Eckman, Bolei Ma, Rob Chew, Frauke Kreuter

Efficiently Acquiring Human Feedback with Bayesian Deep Learning

Haishuo Fang, Jeet Gor, Edwin Simpson

How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?

Kazuma Hashimoto, Iftekhar Naim, Karthik Raman

Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization

Zahra Kolagar, Alessandra Zarcone

Linguistic Obfuscation Attacks and Large Language Model Uncertainty

Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig, Patrick Levi

Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs

Siting Liang, Pablo Valdunciel Sánchez, Daniel Sonntag

Context Tuning for Retrieval Augmented Generation

Raviteja Anantha, Danil Vodianik

Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know

Sanyam Kapoor, Nate Gruver, Manley Roberts, Arka Pal, Samuel Dooley

Making a Long Story Short in Conversation Modeling

Yufei Tao, Tiernan Mines, Ameeta Agrawal

Non-Referential Functions of Language in Social Agents: The Case of Social Proximity

Sviatlana Höhn

How should Conversational Agent systems respond to sexual harassment?

Laura De Grazia, Alex Peiró Lilja, Mireia Farrús Cabeceran, Mariona Taulé

Socio-cultural adapted chatbots: Harnessing Knowledge Graphs and Large Language Models for enhanced context awarenes

Jader Camboim de Sá, Dimitra Anastasiou, Marcos Da Silveira, Cédric Pruski

Bridging the Language Gap: Integrating Language Variations into Conversational AI Agents for Enhanced User Engagement

Marcellus Amadeus, Jose Roberto Homeli da Silva, Joao Victor Pessoa Rocha

Why academia should cut back general enthusiasm about CAs

Alessia Giulimondi

How Do Conversational Agents in Healthcare Impact on Patient Agency?

Kerstin Denecke

Findings of the SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages

Oksana Dereza, Adrian Doyle, Priya Rani, Atul Kr. Ojha, Pádraic Moran

Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages

Lester James V. Miranda

UDParse @ SIGTYP 2024 Shared Task : Modern Language Models for Historical Languages

Johannes Heinecke

Heidelberg-Boston @ SIGTYP 2024 Shared Task: Enhancing Low-Resource Language Analysis With Character-Aware Hierarchical Transformers

Frederick Riemenschneider, Kevin Krahn

TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages

Aleksei Dorkin, Kairit Sirts

ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models

Nathan Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang

Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens

Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur

Compounds in Universal Dependencies: A Survey in Five European Languages

Emil Svoboda, Magda Ševčíková

Are Sounds Sound for Phylogenetic Reconstruction?

Luise Häuser, Gerhard Jäger, Johann-Mattis List, Taraka Rama, Alexandros Stamatakis

A Call for Consistency in Reporting Typological Diversity

Wessel Poelman, Esther Ploeger, Miryam de Lhoneux, Johannes Bjerva

Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification

Kushal Tatariya, Heather Lent, Johannes Bjerva, Miryam de Lhoneux

GTNC: A Many-To-One Dataset of Google Translations from NewsCrawl

Damiaan Reijnaers, Charlotte Pouw

Language Atlas of Japanese and Ryukyuan (LAJaR): A Linguistic Typology Database for Endangered Japonic Languages

Kanji Kato, So Miyagawa, Natsuko Nakagawa

The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications

Damir Cavar, Ludovic Mompelat, Muhammad Abdo

Predicting Mandarin and Cantonese Adult Speakers’ Eye-Movement Patterns in Natural Reading

Li Junlin, Yu-Yin Hsu, Emmanuele Chersoni, Bo Peng

A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages

Jessica Nieder, Johann-Mattis List

A New Dataset for Tonal and Segmental Dialectometry from the Yue- and Pinghua-Speaking Area

Ho Wang Matthew Sung, Jelena Prokić, Yiya Chen

GUIDE: Creating Semantic Domain Dictionaries for Low-Resource Languages

Jonathan Janetzki, Gerard de Melo, Joshua Nemecek, Daniel Whitenack

Syntactic dependency length shaped by strategic memory allocation

Weijie Xu, Richard Futrell

Advancing Open-Domain Conversational Agents - Designing an Engaging System for Natural Multi-Turn Dialogue

Islam A. Hassan, Yvette Graham

Emo-Gen BART - A Multitask Emotion-Informed Dialogue Generation Framework

Alok Debnath, Yvette Graham, Owen Conlan

SarcEmp - Fine-tuning DialoGPT for Sarcasm and Empathy

Mohammed Rizwan

KAUCUS - Knowledgeable User Simulators for Training Large Language Models

Kaustubh Dhole

Evaluating Modular Dialogue System for Form Filling Using Large Language Models

Sherzod Hakimov, Yan Weiser, David Schlangen

Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems

Ivan Sekulic, Silvia Terragni, Victor Guimaraes, Nghia Khau, Bruna Guedes

Improving Dialog Safety using Socially Aware Contrastive Learning

Souvik Das, Rohini K. Srihari

Findings of the First Workshop on Simulating Conversational Intelligence in Chat

Yvette Graham, Mohammed Rameez Qureshi, Haider Khalid, Gerasimos Lampouras, Ignacio Iacobacci

Detecting Mode Collapse in Language Models via Narration

Sil Hamilton

InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria

Can Large Language Models Reason About Goal-Oriented Tasks?

Filippos Bellos, Yayuan Li, Wuao Liu, Jason Corso

Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks

Zhifan Sun, Antonio Valerio Miceli-Barone

A Proposal for Scaling the Scaling Laws

Wout Schellaert, Ronan Hamon, Fernando Martínez-Plumed, José Hernández-Orallo

User Embedding Model for Personalized Language Prompting

Sumanth Doddapaneni, Krishna Sayana, Ambarish Jash, Sukhdeep Sodhi, Dima Kuzmin

RAGs to Style: Personalizing LLMs with Style Embeddings

Abhiman Neelakanteswara, Shreyas Chaudhari, Hamed Zamani

Quantifying learning-style adaptation in effectiveness of LLM teaching

Ruben Weijers, Gabrielle Fidelis de Castilho, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine

LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models

Ivar Frisch, Mario Giulianelli

Personalized Text Generation with Fine-Grained Linguistic Control

Bashar Alhafni, Vivek Kulkarni, Dhruv Kumar, Vipul Raheja

LLMs Simulate Big5 Personality Traits: Further Evidence

Aleksandra Sorokovikova, Sharwin Rezagholi, Natalia Fedorova, Ivan P. Yamshchikov

Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs

Avanti Bhandarkar, Ronald Wilson, Anushka Swarup, Damon Woodard

Can I trust You? LLMs as conversational agents

Marc Döbler, Raghavendran Mahendravarman, Anna Moskvina, Nasrin Saef

HumSum: A Personalized Lecture Summarization Tool for Humanities Students Using LLMs

Zahra Kolagar, Alessandra Zarcone

Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning

Gabriel Simmons, Vladislav Savinov

How to use Language Models for Synthetic Text Generation in Cerebrovascular Disease-specific Medical Reports

Byoung-Doo Oh, Gi-Youn Kim, Chulho Kim, Yu-Seop Kim

RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models

Meiling Tao, Liang Xuechen, Tianyu Shi, Lei Yu, Yiting Xie

Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models

Charlie Campanella, Rob van der Goot

HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent

Weijie Xu, Zicheng Huang, Wenxiang Hu, Xi Fang, Rajesh Cherukuri

JobSkape: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching

Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut

Rethinking Skill Extraction in the Job Market Domain using Large Language Models

Khanh Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut

Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses

Lois Rink, Job Meijdam, David Graus

Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings

Elena Senger, Mike Zhang, Rob van der Goot, Barbara Plank

Mixing and Matching: Combining Independently Trained Translation Model Components

Taido Purason, Andre Tättar, Mark Fishel

The Impact of Language Adapters in Cross-Lingual Transfer for NLU

Jenny Kunz, Oskar Holmström

Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect

Jannis Vamvas, Noëmi Aepli, Rico Sennrich

Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More

Fred Philippy, Siwen Guo, Shohreh Haddadan, Cedric Lothritz, Jacques Klein

Toward the Modular Training of Controlled Paraphrase Adapters

Teemu Vahtola, Mathias Creutz

ASR TAMIL SSN@ LT-EDI-2024: Automatic Speech Recognition system for Elderly People

Suhasini S, Bharathi B

MUCS@LT-EDI-2024: Learning Approaches to Empower Homophobic/Transphobic Comment Identification

Sonali, Nethravathi Gidnakanala, Raksha G, Kavya G, Asha Hegde

MUCS@LT-EDI-2024: Exploring Joint Representation for Memes Classification

Sidharth Mahesh, Sonith D, Gauthamraj, Kavya G, Asha Hegde

KEC_AI_MIRACLE_MAKERS@LT-EDI-2024: Stress Identification in Dravidian Languages using Machine Learning Techniques

Kogilavani Shanmugavadivel, Malliga Subramanian, Monika J, Monishaa S, Rishibalan B

dkit@LT-EDI-2024: Detecting Homophobia and Transphobia in English Social Media Comments

Sargam Yadav, Abhishek Kaushik, Kevin McDaid

CUET_DUO@StressIdent_LT-EDI@EACL2024: Stress Identification Using Tamil-Telugu BERT

Abu Raihan, Tanzim Rahman, Md. Rahman, Jawad Hossain, Shawly Ahsan

MEnTr@LT-EDI-2024: Multilingual Ensemble of Transformer Models for Homophobia/Transphobia Detection

Adwita Arora, Aaryan Mattoo, Divya Chaudhary, Ian Gorton, Bijendra Kumar