LLM-SEMREL: Towards a Better Coreference Resolution for Portuguese

This paper aims to describe LLM-SEMREL, a new Portuguese semantic database built automatically using currently available large language models. The motivation for this project stems from the lack of rich semantic resources for the Coreference Resolution task in Portuguese. As a result, we provide a new resource that can be used to improve current models and build new ones. LLM-SEMREL is composed of 1,229,399 semantic relations, distributed among 261,731 words and their descriptions.

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Published
2024-11-28
DOI
https://doi.org/10.5753/stil.2024.31170
Primary Topic
Natural Language Processing Techniques
Type
article
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article

LLM-SEMREL: Towards a Better Coreference Resolution for Portuguese

Joaquim Bento Cavalcante Neto, Evandro Fonseca
Natural Language Processing Techniques
article

LLM-SEMREL: Towards a Better Coreference Resolution for Portuguese

Joaquim Bento Cavalcante Neto, Evandro Fonseca
article en

Abstract

This paper aims to describe LLM-SEMREL, a new Portuguese semantic database built automatically using currently available large language models. The motivation for this project stems from the lack of rich semantic resources for the Coreference Resolution task in Portuguese. As a result, we provide a new resource that can be used to improve current models and build new ones. LLM-SEMREL is composed of 1,229,399 semantic relations, distributed among 261,731 words and their descriptions.

Blutip (Canada) (CA)
Openalex Percentile: Top 80%
Natural Language Processing Techniques
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