Multilingual Evaluation of Semantic Textual Relatedness

arXiv:2404.09047v1 Announce Type: new
Abstract: The explosive growth of online content demands robust Natural Language Processing (NLP) techniques that can capture nuanced meanings and cultural context across diverse languages. Semantic Textual Relatedness (STR) goes beyond superficial word overlap, considering linguistic elements and non-linguistic factors like topic, sentiment, and perspective. Despite its pivotal role, prior NLP research has predominantly focused on English, limiting its applicability across languages. Addressing this gap, our paper dives into capturing deeper connections between sentences beyond simple …

abstract arxiv beyond context cs.cl diverse evaluation growth language language processing languages multilingual natural natural language natural language processing nlp online content perspective pivotal prior processing robust role semantic sentiment textual type word