EMNLP 2024

2,910 papers

PsychoLex: Unveiling the Psychological Mind of Large Language Models

Mohammad Amin Abbasi, Farnaz Sadat Mirnezami, Hassan Naderi

Prediction of CRISPR On-Target Effects via Deep Learning

Condy Bao, Fuxiao Liu

TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

Miriam Horovicz, Roni Goldshmidt

Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations

Sangameshwar Patil, Sumit Koundanya, Shubham Kumbhar, Alok Kumar

DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models

Rajat Rawat, Hudson McBride, Rajarshi Ghosh, Dhiyaan Nirmal, Jong Moon

AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark

Abhay Gupta, Ece Yurtseven, Philip Meng, Kevin Zhu

MultiClimate: Multimodal Stance Detection on Climate Change Videos

Jiawen Wang, Longfei Zuo, Siyao Peng, Barbara Plank

Reference-Based Metrics Are Biased Against Blind and Low-Vision Users’ Image Description Preferences

Rhea Kapur, Elisa Kreiss

Crafting Tomorrow’s Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian

Cem Üyük, Danica Rovó, Shaghayeghkolli Shaghayeghkolli, Rabia Varol, Georg Groh

From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data

Karlyn K. Harrod, Prabin Bhandari, Antonios Anastasopoulos

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks

Azmine Toushik Wasi

Decoding Ableism in Large Language Models: An Intersectional Approach

Rong Li, Ashwini Kamaraj, Jing Ma, Sarah Ebling

Inferring Mental Burnout Discourse Across Reddit Communities

Nazanin Sabri, Anh C. Pham, Ishita Kakkar, Mai ElSherief

Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors

Anthony Sicilia, Malihe Alikhani

Investigating Ableism in LLMs through Multi-turn Conversation

Guojun Wu, Sarah Ebling

SciTechBaitRO: ClickBait Detection for Romanian Science and Technology News

Raluca-Andreea Gînga, Ana Sabina Uban

AgriLLM:Harnessing Transformers for Framer Queries

Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal

Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis

David F. Jenny, Yann Billeter, Bernhard Schölkopf, Zhijing Jin

An NLP Case Study on Predicting the Before and After of the Ukraine–Russia and Hamas–Israel Conflicts

Jordan Miner, John E. Ortega

Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models

Iacopo Ghinassi, Leonardo Catalano, Tommaso Colella

All Models are Wrong, But Some are Deadly: Inconsistencies in Emotion Detection in Suicide-related Tweets

Annika Marie Schoene, Resmi Ramachandranpillai, Tomo Lazovich, Ricardo A. Baeza-Yates

Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour

Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro

PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation

Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen, Alessandra Cervone, Spandana Gella

Covert Bias: The Severity of Social Views’ Unalignment in Language Models Towards Implicit and Explicit Opinion

Abeer Aldayel, Areej Alokaili, Rehab Alahmadi

Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models

Carlos Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze

Transferring Fairness using Multi-Task Learning with Limited Demographic Information

Carlos Alejandro Aguirre, Mark Dredze

Multilingual Fact-Checking using LLMs

Aryan Singhal, Thomas Law, Coby Kassner, Ayushman Gupta, Evan Duan

What is the social benefit of hate speech detection research? A Systematic Review

Sidney Gig-Jan Wong

Empowering Teachers with Usability-Oriented LLM-Based Tools for Digital Pedagogy

Melany Vanessa Macias, Lev Kharlashkin, Leo Einari Huovinen, Mika Hämäläinen

CIPHE: A Framework for Document Cluster Interpretation and Precision from Human Exploration

Anton Eklund, Mona Forsman, Frank Drewes

Order Up! Micromanaging Inconsistencies in ChatGPT-4o Text Analyses

Erkki Mervaala, Ilona Kousa

Generating Interpretations of Policy Announcements

Andreas Marfurt, Ashley Thornton, David Sylvan, James Henderson

Corpus Development Based on Conflict Structures in the Security Field and LLM Bias Verification

Keito Inoshita

Analyzing Pokémon and Mario Streamers’ Twitch Chat with LLM-based User Embeddings

Mika Hämäläinen, Jack Rueter, Khalid Alnajjar

Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis

Mohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven

Multi-word expressions in biomedical abstracts and their plain English adaptations

Sergei Bagdasarov, Elke Teich

The Social Lives of Literary Characters: Combining citizen science and language models to understand narrative social networks

Andrew Piper, Michael Xu, Derek Ruths

Assessing Large Language Models in Translating Coptic and Ancient Greek Ostraca

Audric-Charles Wannaz, So Miyagawa

Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation

William Thorne, Ambrose Robinson, Bohua Peng, Chenghua Lin, Diana Maynard

Cross-Dialectal Transfer and Zero-Shot Learning for Armenian Varieties: A Comparative Analysis of RNNs, Transformers and LLMs

Chahan Vidal-Gorène, Nadi Tomeh, Victoria Khurshudyan

Exploring Large Language Models for Qualitative Data Analysis

Tim Fischer, Chris Biemann

Enhancing Neural Machine Translation for Ainu-Japanese: A Comprehensive Study on the Impact of Domain and Dialect Integration

Ryo Igarashi, So Miyagawa

Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin

Svetlana Gorovaia, Gleb Schmidt, Ivan P. Yamshchikov

Intersecting Register and Genre: Understanding the Contents of Web-Crawled Corpora

Amanda Myntti, Liina Repo, Elian Freyermuth, Antti Kanner, Veronika Laippala

Classification of Buddhist Verses: The Efficacy and Limitations of Transformer-Based Models

Nikita Neveditsin, Ambuja Salgaonkar, Pawan Lingras, Vijay Mago

Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language

Xinmeng Hou

Text vs. Transcription: A Study of Differences Between the Writing and Speeches of U.S. Presidents

Mina Rajaei Moghadam, Mosab Rezaei, Gülşat Aygen, Reva Freedman

Evaluating LLM Performance in Character Analysis: A Study of Artificial Beings in Recent Korean Science Fiction

Woori Jang, Seohyon Jung

Evaluating Language Models in Location Referring Expression Extraction from Early Modern and Contemporary Japanese Texts

Ayuki Katayama, Yusuke Sakai, Shohei Higashiyama, Hiroki Ouchi, Ayano Takeuchi

Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus

Craig Messner, Tom Lippincott

Testing and Adapting the Representational Abilities of Large Language Models on Folktales in Low-Resource Languages

J. A. Meaney, Beatrice Alex, William Lamb

From Discrete to Continuous Classes: A Situational Analysis of Multilingual Web Registers with LLM Annotations

Erik Henriksson, Amanda Myntti, Saara Hellström, Selcen Erten-Johansson, Anni Eskelinen

Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew “she-” and “ki”

Avi Shmidman, Aynat Rubinstein

Evaluating Open-Source LLMs in Low-Resource Languages: Insights from Latvian High School Exams

Roberts Dargis, Guntis Barzdins, Inguna Skadiņa, Normunds Gruzitis, Baiba Saulite

Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities

Shafqat Mumtaz Virk, Claes Ohlsson, Nina Tahmasebi, Henrik Björck, Leif Runefelt

N-gram-Based Preprocessing for Sandhi Reversion in Vedic Sanskrit

Yuzuki Tsukagoshi, Ikki Ohmukai

A Two-Model Approach for Humour Style Recognition

Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat

SEFLAG: Systematic Evaluation Framework for NLP Models and Datasets in Latin and Ancient Greek

Konstantin Schulz, Florian Deichsler

Visualising Changes in Semantic Neighbourhoods of English Noun Compounds over Time

Malak Rassem, Myrto Tsigkouli, Chris W. Jenkins, Filip Miletić, Sabine Schulte im Walde

From N-grams to Pre-trained Multilingual Models For Language Identification

Thapelo Andrew Sindane, Vukosi Marivate

Improving Latin Dependency Parsing by Combining Treebanks and Predictions

Hanna-Mari Kristiina Kupari, Erik Henriksson, Veronika Laippala, Jenna Kanerva

Adapting Measures of Literality for Use with Historical Language Data

Adam Roussel

Vector Poetics: Parallel Couplet Detection in Classical Chinese Poetry

Maciej Kurzynski, Xiaotong Xu, Yu Feng

Molyé: A Corpus-based Approach to Language Contact in Colonial France

Rasul Dent, Juliette Janes, Thibault Clerice, Pedro Ortiz Suarez, Benoît Sagot

UD for German Poetry

Stefanie Dipper, Ronja Laarmann-Quante

Topic-Aware Causal Intervention for Counterfactual Detection

Thong Thanh Nguyen, Truc-My Nguyen

Deciphering psycho-social effects of Eating Disorder : Analysis of Reddit Posts using Large Language Model(LLM)s and Topic Modeling

Medini Chopra, Anindita Chatterjee, Lipika Dey, Partha Pratim Das

Canonical Status and Literary Influence: A Comparative Study of Danish Novels from the Modern Breakthrough (1870–1900)

Pascale Feldkamp, Alie Lassche, Jan Kostkan, Márton Kardos, Kenneth Enevoldsen

Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction

Laura Manrique-Gómez, Tony Montes, Arturo Rodriguez Herrera, Rubén Manrique

So Miyagawa, Yuki Kyogoku, Yuzuki Tsukagoshi, Kyoko Amano

A Multi-task Framework with Enhanced Hierarchical Attention for Sentiment Analysis on Classical Chinese Poetry: Utilizing Information from Short Lines

Quanqi Du, Véronique Hoste

NLP for Digital Humanities: Processing Chronological Text Corpora

Adam Pawłowski, Tomasz Walkowiak

Language Resources From Prominent Born-Digital Humanities Texts are Still Needed in the Age of LLMs

Natalie Hervieux, Peiran Yao, Susan Brown, Denilson Barbosa

Extracting position titles from unstructured historical job advertisements

Klara Venglarova, Raven Adam, Georg Vogeler

It is a Truth Individually Acknowledged: Cross-references On Demand

Piper Vasicek, Courtni Byun, Kevin Seppi

Constructing a Sentiment-Annotated Corpus of Austrian Historical Newspapers: Challenges, Tools, and Annotator Experience

Lucija Krusic

Extracting Relations from Ecclesiastical Cultural Heritage Texts

Giulia Cruciani

Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis

Ray Umphrey, Jesse Roberts, Lindsey Roberts

Evaluating Computational Representations of Character: An Austen Character Similarity Benchmark

Funing Yang, Carolyn Jane Anderson

Tracing the Genealogies of Ideas with Sentence Embeddings

Lucian Li

Text Length and the Function of Intentionality: A Case Study of Contrastive Subreddits

Emily Sofi Ohman, Aatu Liimatta

Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?

Santosh T.y.s.s, Kevin Ashley, Katie Atkinson, Matthias Grabmair

LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English

Santosh T.y.s.s, Cornelius Weiss, Matthias Grabmair

DeBERTa Beats Behemoths: A Comparative Analysis of Fine-Tuning, Prompting, and PEFT Approaches on LegalLensNER

Hanh Thi Hong Tran, Nishan Chatterjee, Senja Pollak, Antoine Doucet

LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text

Ben Hagag, Gil Gil Semo, Dor Bernsohn, Liav Harpaz, Pashootan Vaezipoor

Semantists at LegalLens-2024: Data-efficient Training of LLM’s for Legal Violation Identification

Kanagasabai Rajaraman, Hariram Veeramani

LegalLens 2024 Shared Task: Masala-chai Submission

Khalid Rajan, Royal Sequiera

Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition

Nguyen Tan Minh, Duy Ngoc Mai, Le Xuan Bach, Nguyen Huu Dung, Pham Cong Minh

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights

Maksym Taranukhin, Sahithya Ravi, Gabor Lukacs, Evangelos Milios, Vered Shwartz

Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen, Subhasya Tippareddy, Ashay Srivastava

Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction

Alice Kwak, Clayton Morrison, Derek Bambauer, Mihai Surdeanu

Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations

Abe Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights

Odysseas S. Chlapanis, Dimitrios Galanis, Ion Androutsopoulos

Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution

Shikha Bordia

Comparative Study of Explainability Methods for Legal Outcome Prediction

Ieva Staliūnaitė, Josef Valvoda, Ken Satoh

Multi-Property Multi-Label Documents Metadata Recommendation based on Encoder Embeddings

Nasredine Cheniki, Vidas Daudaravičius, Abdelfettah Feliachi, Didier Hardy, Marc Wilhelm Küster

BLT: Can Large Language Models Handle Basic Legal Text?

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

LLMs to the Rescue: Explaining DSA Statements of Reason with Platform’s Terms of Services

Marco Aspromonte, Andrea Ferraris, Federico Galli, Giuseppe Contissa

Cross Examine: An Ensemble-based approach to leverage Large Language Models for Legal Text Analytics

Saurav Chowdhury, Suyog Joshi, Lipika Dey

Transductive Legal Judgment Prediction Combining BERT Embeddings with Delaunay-Based GNNs

Hugo Attali, Nadi Tomeh