Evaluating Span Extraction in Generative Paradigm: A Reflection on Aspect-Based Sentiment Analysis

arXiv:2404.11539v1 Announce Type: new
Abstract: In the era of rapid evolution of generative language models within the realm of natural language processing, there is an imperative call to revisit and reformulate evaluation methodologies, especially in the domain of aspect-based sentiment analysis (ABSA). This paper addresses the emerging challenges introduced by the generative paradigm, which has moderately blurred traditional boundaries between understanding and generation tasks. Building upon prevailing practices in the field, we analyze the advantages and shortcomings associated with the …

abstract analysis arxiv call challenges cs.cl domain evaluation evolution extraction generative language language models language processing natural natural language natural language processing paper paradigm processing realm sentiment sentiment analysis type