Papers by Gaël Lejeune
The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations (2026.acl-long)
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| Challenge: | Large Language Models (LLMs) are ubiquitous in modern NLP, but ethical questions have been raised about their use as analysis tools. |
| Approach: | They propose a framework that transforms noisy, multi-topic contributions into argumentative units ready for downstream analysis. |
| Outcome: | The proposed framework can be run locally and transparently with limited resources. |
A Dataset for Multi-lingual Epidemiological Event Extraction (2020.lrec-1)
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| Challenge: | Using the Web, we propose a corpus for information extraction and text classification. |
| Approach: | They propose to use a corpus for information extraction and natural language processing (NLP) tasks such as text classification. |
| Outcome: | The proposed corpus can be used for information extraction and natural language processing tasks such as text classification. |
Do we Name the Languages we Study? The #BenderRule in LREC and ACL articles (2022.lrec-1)
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| Challenge: | Using the #BenderRule, we examine the number and which languages are studied in two NLP conferences. |
| Approach: | They examine the application of the #BenderRule in NLP articles by inspecting 14,000 articles over a period of time ranging from 2000 to 2020 for LREC and 1979 to 2020 respectively. |
| Outcome: | The authors examine the application of the #BenderRule in natural language processing articles over a period of time ranging from 2000 to 2020 for LREC and ACL. |
Multilingual Epidemiological Text Classification: A Comparative Study (2020.coling-main)
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| Challenge: | a comparative study of multilingual text classification models analyzes the performance of different models based on different languages . low-resource languages are highly influenced by typology of the languages on which the models have been trained or fine-tuned but also by their size. |
| Approach: | They compare machine and deep learning models with a dataset of epidemiological news articles . they find that the performance of the models is proportionate to the training data size . |
| Outcome: | The proposed model outperforms baseline models on a multilingual text classification task . low-resource languages are highly influenced by typology of languages and their size . |
For a Fistful of Puns: Evaluating a Puns in Multiword Expressions Identification Algorithm Without Dedicated Dataset (2025.findings-emnlp)
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| Challenge: | a recent study has shown that multiword expressions and wordplays impact their performance and are idiosyncratic and pervasive across languages. |
| Approach: | They propose an alignment-based PMWE identification and tagging algorithm to identify different types of PMWEs. |
| Outcome: | The proposed algorithm can identify different types of PMWEs and perform a snowclone detection task in English. |