Large Language Models for Stemming: Promises, Pitfalls and Failures

arXiv:2402.11757v1 Announce Type: cross
Abstract: Text stemming is a natural language processing technique that is used to reduce words to their base form, also known as the root form. The use of stemming in IR has been shown to often improve the effectiveness of keyword-matching models such as BM25. However, traditional stemming methods, focusing solely on individual terms, overlook the richness of contextual information. Recognizing this gap, in this paper, we investigate the promising idea of using large language models …

abstract arxiv cs.cl cs.ir form language language models language processing large language large language models natural natural language natural language processing processing reduce stemming text type words