14 papers
Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments
Emilia Milano, Alistair Plum, Yves Scherrer +1
Detecting language ideologies is a valuable yet complex task for understanding how identities are constructed through discourse. In Luxembourg's multicultural and multilingual soci…
ltzGLUE: Luxembourgish General Language Understanding Evaluation
Alistair Plum, Felicia Körner, Anne-Marie Lutgen +8
This paper presents ltzGLUE, the first Natural Language Understanding (NLU) benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English. Although NLU tasks ar…
Variation is the Norm: Embracing Sociolinguistics in NLP
Anne-Marie Lutgen, Alistair Plum, Verena Blaschke +2
In Natural Language Processing (NLP), variation is typically seen as noise and "normalised away" before processing, even though it is an integral part of language. Conversely, stud…
MUNIChus: Multilingual News Image Captioning Benchmark
Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4
The goal of news image captioning is to generate captions by integrating news article content with corresponding images, highlighting the relationship between textual context and v…
Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction
Nils Schwager, Simon Münker, Alistair Plum +1
The transition of Large Language Models (LLMs) from exploratory tools to active "silicon subjects" in social science lacks extensive validation of operational validity. This study…
A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments
Anne-Marie Lutgen, Alistair Plum, Christoph Purschke
This paper presents an embedding-based approach to detecting variation without relying on prior normalisation or predefined variant lists. The method trains subword embeddings on r…
Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset
Alistair Plum, Laura Bernardy, Tharindu Ranasinghe
We present judgeWEL, a dataset for named entity recognition (NER) in Luxembourgish, automatically labelled and subsequently verified using large language models (LLM) in a novel pi…
Identity-Aware Large Language Models require Cultural Reasoning
Alistair Plum, Anne-Marie Lutgen, Christoph Purschke +1
Large language models have become the latest trend in natural language processing, heavily featuring in the digital tools we use every day. However, their replies often reflect a n…
Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy
Alistair Plum, Tharindu Ranasinghe, Christoph Purschke
This paper addresses the challenges in developing language models for less-represented languages, with a focus on Luxembourgish. Despite its active development, Luxembourgish faces…
Neural Text Normalization for Luxembourgish using Real-Life Variation Data
Anne-Marie Lutgen, Alistair Plum, Christoph Purschke +1
Orthographic variation is very common in Luxembourgish texts due to the absence of a fully-fledged standard variety. Additionally, developing NLP tools for Luxembourgish is a diffi…
LuxBank: The First Universal Dependency Treebank for Luxembourgish
Alistair Plum, Caroline Döhmer, Emilia Milano +2
The Universal Dependencies (UD) project has significantly expanded linguistic coverage across 161 languages, yet Luxembourgish, a West Germanic language spoken by approximately 400…
Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
Alistair Plum, Tharindu Ranasinghe, Christoph Purschke
Relation extraction is essential for extracting and understanding biographical information in the context of digital humanities and related subjects. There is a growing interest in…
Biographical: A Semi-Supervised Relation Extraction Dataset
Alistair Plum, Tharindu Ranasinghe, Spencer Jones +2
Extracting biographical information from online documents is a popular research topic among the information extraction (IE) community. Various natural language processing (NLP) tec…
RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
Tharindu Ranasinghe, Alistair Plum, Constantin Orasan +1
This paper presents the RGCL team submission to SemEval 2020 Task 6: DeftEval, subtasks 1 and 2. The system classifies definitions at the sentence and token levels. It utilises sta…