Evaluating Named Entity Recognition: Comparative Analysis of Mono- and Multilingual Transformer Models on Brazilian Corporate Earnings Call Transcriptions

arXiv:2403.12212v1 Announce Type: cross
Abstract: Named Entity Recognition (NER) is a Natural Language Processing technique for extracting information from textual documents. However, much of the existing research on NER has been centered around English-language documents, leaving a gap in the availability of datasets tailored to the financial domain in Portuguese. This study addresses the need for NER within the financial domain, focusing on Portuguese-language texts extracted from earnings call transcriptions of Brazilian banks. By curating a comprehensive dataset comprising 384 …

abstract analysis arxiv availability call comparative analysis corporate cs.ai cs.cl cs.lg documents earnings earnings call english gap however information language language processing multilingual natural natural language natural language processing ner processing recognition research textual transformer transformer models type