EACL 2024

766 papers

Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning

Mesay Gemeda Yigezu, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh

Transformers@DravidianLangTech-EACL2024: Sentiment Analysis of Code-Mixed Tamil Using RoBERTa

Kriti Singhal, Jatin Bedi

MIT-KEC-NLP@DravidianLangTech-EACL 2024: Offensive Content Detection in Kannada and Kannada-English Mixed Text Using Deep Learning Techniques

Kogilavani Shanmugavadivel, Sowbarnigaa K S, Mehal Sakthi M S, Subhadevi K, Malliga Subramanian

DLRG-DravidianLangTech@EACL2024 : Combating Hate Speech in Telugu Code-mixed Text on Social Media

Ratnavel Rajalakshmi, Saptharishee M, Hareesh S, Gabriel R, Varsini Sr

IIITDWD-zk@DravidianLangTech-2024: Leveraging the Power of Language Models for Hate Speech Detection in Telugu-English Code-Mixed Text

Zuhair Hasan Shaik, Sai Kartheek Reddy Kasu, Sunil Saumya, Shankar Biradar

Code_Makers@DravidianLangTech-EACL 2024 : Sentiment Analysis in Code-Mixed Tamil using Machine Learning Techniques

Kogilavani Shanmugavadivel, Sowbharanika J S, Navbila K, Malliga Subramanian

Beyond Tech@DravidianLangTech2024 : Fake News Detection in Dravidian Languages Using Machine Learning

Kogilavani Shanmugavadivel, Malliga Subramanian, Sanjai R, Mohammed Sameer B, Motheeswaran K

IIITDWD_SVC@DravidianLangTech-2024: Breaking Language Barriers; Hate Speech Detection in Telugu-English Code-Mixed Text

Chava Sai, Rangoori Kumar, Sunil Saumya, Shankar Biradar

Tayyab@DravidianLangTech 2024:Detecting Fake News in Malayalam LSTM Approach and Challenges

M. T. Zamir, M. S Tash, Z. Ahani, A. Gelbukh, G. Sidorov

Zavira@DravidianLangTech 2024:Telugu hate speech detection using LSTM

Z. Ahani, M. Shahiki Tash, M. T. Zamir, I. Gelbukh, A. Gelbukh

Lidoma@DravidianLangTech 2024: Identifying Hate Speech in Telugu Code-Mixed: A BERT Multilingual

Muhammad Zamir, Moein Tash, Zahra Ahani, Alexander Gelbukh, Grigori Sidorov

Tewodros@DravidianLangTech 2024: Hate Speech Recognition in Telugu Codemixed Text

Tewodros Achamaleh, Lemlem Kawo, Ildar Batyrshini, Grigori Sidorov

Selam@DravidianLangTech 2024:Identifying Hate Speech and Offensive Language

Selam Abitte Kanta, Grigori Sidorov, Alexander Gelbukh

Fida @DravidianLangTech 2024: A Novel Approach to Hate Speech Detection Using Distilbert-base-multilingual-cased

Fida Ullah, Muhammad Zamir, Muhammad Arif, M. Ahmad, E Felipe-Riveron

byteSizedLLM@DravidianLangTech 2024: Fake News Detection in Dravidian Languages - Unleashing the Power of Custom Subword Tokenization with Subword2Vec and BiLSTM

Rohith Gowtham Kodali, Durga Prasad Manukonda

Overview of the Second Shared Task on Fake News Detection in Dravidian Languages: DravidianLangTech@EACL 2024

Malliga Subramanian, Bharathi Raja Chakravarthi, Kogilavani Shanmugavadivel, Santhiya Pandiyan, Prasanna Kumar Kumaresan

Overview of Second Shared Task on Sentiment Analysis in Code-mixed Tamil and Tulu

Lavanya Sambath Kumar, Asha Hegde, Bharathi Raja Chakravarthi, Hosahalli Shashirekha, Rajeswari Natarajan

Findings of the Shared Task on Multimodal Social Media Data Analysis in Dravidian Languages (MSMDA-DL)@DravidianLangTech 2024

Premjith B, Jyothish G, Sowmya V, Bharathi Raja Chakravarthi, K Nandhini

Findings of the Shared Task on Hate and Offensive Language Detection in Telugu Codemixed Text (HOLD-Telugu)@DravidianLangTech 2024

Premjith B, Bharathi Raja Chakravarthi, Prasanna Kumar Kumaresan, Saranya Rajiakodi, Sai Prashanth Karnati

Findings of the First Shared Task on Offensive Span Identification from Code-Mixed Kannada-English Comments

Manikandan Ravikiran, Ratnavel Rajalakshmi, Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sajeetha Thavareesan

SetFit: A Robust Approach for Offensive Content Detection in Tamil-English Code-Mixed Conversations Using Sentence Transfer Fine-tuning

Kathiravan Pannerselvam, Saranya Rajiakodi, Sajeetha Thavareesan, Sathiyaraj Thangasamy, Kishore Ponnusamy

Exploring the impact of noise in low-resource ASR for Tamil

Vigneshwar Lakshminarayanan, Emily Prud’hommeaux

Social Media Fake News Classification Using Machine Learning Algorithm

Girma Yohannis Bade, Olga Kolesnikova, Grigori Sidorov, José Luis Oropeza

From Dataset to Detection: A Comprehensive Approach to Combating Malayalam Fake News

Devika K, Hariprasath .s.b, Haripriya B, Vigneshwar E, Premjith B

Neural Machine Translation for Malayalam Paraphrase Generation

Christeena Varghese, Sergey Koshelev, Ivan P. Yamshchikov

A Few-Shot Multi-Accented Speech Classification for Indian Languages using Transformers and LLM’s Fine-Tuning Approaches

Jairam R, Jyothish G, Premjith B

Akha, Dara-ang, Karen, Khamu, Mlabri and Urak Lawoi’ language minorities’ subjective perception of their languages and the outlook for development of digital tools

Joanna Dolińska, Shekhar Nayak, Sumittra Suraratdecha

End-to-End Speech Recognition for Endangered Languages of Nepal

Marieke Meelen, Alexander O’neill, Rolando Coto-Solano

MunTTS: A Text-to-Speech System for Mundari

Varun Gumma, Rishav Hada, Aditya Yadavalli, Pamir Gogoi, Ishani Mondal

Creating Digital Learning and Reference Resources for Southern Michif

Heather Souter, Olivia Sammons, David Huggins Daines

Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa

Nitin Venkateswaran, Zoey Liu

Data-mining and Extraction: the gold rush of AI on Indigenous Languages

Marie-Odile Junker

Fitting a Square Peg into a Round Hole: Creating a UniMorph dataset of Kanien’kéha Verbs

Anna Kazantseva, Akwiratékha Martin, Karin Michelson, Jean-Pierre Koenig

Automatic Transcription of Grammaticality Judgements for Language Documentation

Eric Le Ferrand, Emily Prud’hommeaux

Machine-in-the-Loop with Documentary and Descriptive Linguists

Sarah Moeller, Antti Arppe

T is for Treu, but how do you pronounce that? Using C-LARA to create phonetic texts for Kanak languages

Pauline Welby, Fabrice Wacalie, Manny Rayner

Investigating the productivity of Passamaquoddy medials: A computational approach

James Roberts

Technology and Language Revitalization: A Roadmap for the Mvskoke Language

Julia Mainzinger

Cloud-based Platform for Indigenous Language Sound Education

Min Chen, Chris Lee, Naatosi Fish, Mizuki Miyashita, James Randall

With a Little Help from my (Linguistic) Friends: Topic segmentation of multi-party casual conversations

Amandine Decker, Maxime Amblard

Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision

Chuyuan Li, Chloé Braud, Maxime Amblard, Giuseppe Carenini

GroundHog: Dialogue Generation using Multi-Grained Linguistic Input

Alexander Chernyavskiy, Lidiia Ostyakova, Dmitry Ilvovsky

Signals as Features: Predicting Error/Success in Rhetorical Structure Parsing

Martial Pastor, Nelleke Oostdijk

The ARRAU 3.0 Corpus

Massimo Poesio, Maris Camilleri, Paloma Carretero Garcia, Juntao Yu, Mark-Christoph Müller

Exploring Soft-Label Training for Implicit Discourse Relation Recognition

Nelson Filipe Costa, Leila Kosseim

Complex question generation using discourse-based data augmentation

Khushnur Jahangir, Philippe Muller, Chloé Braud

Feature-augmented model for multilingual discourse relation classification

Eleni Metheniti, Chloé Braud, Philippe Muller

Probing of pretrained multilingual models on the knowledge of discourse

Mary Godunova, Ekaterina Voloshina

Quantitative metrics to the CARS model in academic discourse in biology introductions

Charles Lam, Nonso Nnamoko

Actor Identification in Discourse: A Challenge for LLMs?

Ana Barić, Sebastian Padó, Sean Papay

Experimenting with Discourse Segmentation of Taiwan Southern Min Spontaneous Speech

Laurent Prevot, Sheng-Fu Wang

Projecting Annotations for Discourse Relations: Connective Identification for Low-Resource Languages

Peter Bourgonje, Pin-Jie Lin

Using Discourse Connectives to Test Genre Bias in Masked Language Models

Heidrun Dorgeloh, Lea Kawaletz, Simon Stein, Regina Stodden, Stefan Conrad

SciPara: A New Dataset for Investigating Paragraph Discourse Structure in Scientific Papers

Anna Kiepura, Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H.R. Hahnloser

An Algorithmic Approach to Analyzing Rhetorical Structures

Andrew Potter

Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk

Vasudha Varadarajan, Allison Lahnala, Adithya V Ganesan, Gourab Dey, Siddharth Mangalik

Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization

Rika Tanaka, Yusuke Fukazawa

Utilizing Large Language Models to Identify Evidence of Suicidality Risk through Analysis of Emotionally Charged Posts

Ahmet Yavuz Uluslu, Andrianos Michail, Simon Clematide

Cheap Ways of Extracting Clinical Markers from Texts

Anastasia Sandu, Teodor Mihailescu, Sergiu Nisioi

A Dual-Prompting for Interpretable Mental Health Language Models

Hyolim Jeon, Dongje Yoo, Daeun Lee, Sejung Son, Seungbae Kim

XinHai@CLPsych 2024 Shared Task: Prompting Healthcare-oriented LLMs for Evidence Highlighting in Posts with Suicide Risk

Jingwei Zhu, Ancheng Xu, Minghuan Tan, Min Yang

Using Large Language Models (LLMs) to Extract Evidence from Pre-Annotated Social Media Data

Falwah Alhamed, Julia Ive, Lucia Specia

Detecting Suicide Risk Patterns using Hierarchical Attention Networks with Large Language Models

Koushik L, Vishruth M, Anand Kumar M

Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models

Loitongbam Gyanendro Singh, Junyu Mao, Rudra Mutalik, Stuart E. Middleton

Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission

Judita Preiss, Zenan Chen

Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach

Sergi Blanco-Cuaresma

Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels

Jiyu Chen, Vincent Nguyen, Xiang Dai, Diego Molla-Aliod, Cecile Paris

Team ISM at CLPsych 2024: Extracting Evidence of Suicide Risk from Reddit Posts with Knowledge Self-Generation and Output Refinement using A Large Language Model

Vu Tran, Tomoko Matsui

Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts

Jenny Chim, Adam Tsakalidis, Dimitris Gkoumas, Dana Atzil-Slonim, Yaakov Ophir

Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data

Claire Lee, Noelle Lim, Michael Guerzhoy

Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset

Kirill Milintsevich, Kairit Sirts, Gaël Dias

Comparing panic and anxiety on a dataset collected from social media

Sandra Mitrović, Oscar William Lithgow-Serrano, Carlo Schillaci

Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study

Muhammad Rizwan, Jure Demšar

Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis

Matthew Matero, Huy Vu, August Nilsson, Syeda Mahwish, Young Min Cho

Analysing relevance of Discourse Structure for Improved Mental Health Estimation

Navneet Agarwal, Gaël Dias, Sonia Dollfus

Explainable Depression Detection Using Large Language Models on Social Media Data

Yuxi Wang, Diana Inkpen, Prasadith Kirinde Gamaarachchige

Automatic Annotation of Dream Report’s Emotional Content with Large Language Models

Lorenzo Bertolini, Valentina Elce, Adriana Michalak, Hanna-Sophia Widhoelzl, Giulio Bernardi

Ethical thematic and topic modelling analysis of sleep concerns in a social media derived suicidality dataset

Martin Orr, Kirsten Van Kessel, David Parry

Therapist Self-Disclosure as a Natural Language Processing Task

Natalie Shapira, Tal Alfi-Yogev

Linguistic markers of schizophrenia: a case study of Robert Walser

Ivan Nenchev, Tatjana Scheffler, Marie de la Fuente, Heiner Stuke, Benjamin Wilck

How Can Client Motivational Language Inform Psychotherapy Agents?

Van Hoang, Eoin Rogers, Robert Ross

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

Mario Ezra Aragón, Javier Parapar, David E. Losada

Assessing Motivational Interviewing Sessions with AI-Generated Patient Simulations

Stav Yosef, Moreah Zisquit, Ben Cohen, Anat Klomek Brunstein, Kfir Bar

A Concise Report of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text

Ali Hürriyetoğlu, Surendrabikram Thapa, Gökçe Uludoğan, Somaiyeh Dehghan, Hristo Tanev

Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024

Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Shuvam Shiwakoti, Hariram Veeramani

Overview of the Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) Shared Task at CASE 2024

Gökçe Uludoğan, Somaiyeh Dehghan, Inanc Arin, Elif Erol, Berrin Yanikoglu

Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024

Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Hariram Veeramani, Raghav Jain

Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models

Ehsan Barkhodar, Işık Topçu, Ali Hürriyetoğlu

Detecting Hate Speech in Turkish Print Media: A Corpus and A Hybrid Approach with Target-oriented Linguistic Knowledge

Gökçe Uludoğan, Atıf Emre Yüksel, Ümit Tunçer, Burak Işık, Yasemin Korkmaz

DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages

Fatima Zahra Qachfar, Bryan Tuck, Rakesh Verma

ReBERT at HSD-2Lang 2024: Fine-Tuning BERT with AdamW for Hate Speech Detection in Arabic and Turkish

Utku Yagci, Egemen Iscan, Ahmet Kolcak

Transformers at HSD-2Lang 2024: Hate Speech Detection in Arabic and Turkish Tweets Using BERT Based Architectures

Kriti Singhal, Jatin Bedi

VRLLab at HSD-2Lang 2024: Turkish Hate Speech Detection Online with TurkishBERTweet

Ali Najafi, Onur Varol

IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning Techniques

Ghazaleh Mahmoudi, Sauleh Eetemadi

Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA

Marek Suppa, Daniel Skala, Daniela Jass, Samuel Sucik, Andrej Svec

Z-AGI Labs at ClimateActivism 2024: Stance and Hate Event Detection on Social Media

Nikhil Narayan, Mrutyunjay Biswal

HAMiSoN-baselines at ClimateActivism 2024: A Study on the Use of External Data for Hate Speech and Stance Detection

Julio Reyes Montesinos, Alvaro Rodrigo

CUET_Binary_Hackers at ClimateActivism 2024: A Comprehensive Evaluation and Superior Performance of Transformer-Based Models in Hate Speech Event Detection and Stance Classification for Climate Activism

Salman Farsi, Asrarul Hoque Eusha, Mohammad Shamsul Arefin

AAST-NLP at Multimodal Hate Speech Event Detection 2024 : A Multimodal Approach for Classification of Text-Embedded Images Based on CLIP and BERT-Based Models.

Ahmed El-Sayed, Omar Nasr

MasonPerplexity at ClimateActivism 2024: Integrating Advanced Ensemble Techniques and Data Augmentation for Climate Activism Stance and Hate Event Identification

Al Nahian Bin Emran, Amrita Ganguly, Sadiya Sayara Chowdhury Puspo, Dhiman Goswami, Md Nishat Raihan