Natural Language Processing in Geology: A Review of Portuguese Language Resources and Techniques

Resumen

This paper examines Natural Language Processing (NLP) advancements in the geological domain, focusing on Portuguese-language resources and applications. As geological data grows in complexity, there is an increasing need for specialized NLP tools. Recent developments include specialized corpora and adapted models, notably enhancing Named Entity Recognition, Information Retrieval, and dependency parsing. Despite these improvements, gaps remain, particularly in classification tasks and advanced evaluation techniques. This paper addresses these gaps by proposing rethinking methodologies and advocating for further research to broaden geological NLP applications.