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Felix Grezes

2 accepted papers

2024

Enriching a Time-Domain Astrophysics Corpus with Named Entity, Coreference and Astrophysical Relationship Annotations

COLING 2024main

Interest in Astrophysical Natural Language Processing (NLP) has increased recently, fueled by the development of specialized language models for information extraction. However, the scarcity of annotated resources for this domain is still a significant challenge. Most existing corpora are limited to…

Cited by 1SourcePDFScholar
2024

INDUS: Effective and Efficient Language Models for Scientific Applications

EMNLP 2024industry

Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks. Inspired by this insight, we developed INDUS, a…

Cited by 8SourcePDFScholar