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Natural Language Processing RELIES on Linguistics
May 10, 2024, 4:46 a.m. | Juri Opitz, Shira Wein, Nathan Schneider
cs.CL updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) have become capable of generating highly fluent text in certain languages, without modules specially designed to capture grammar or semantic coherence. What does this mean for the future of linguistic expertise in NLP? We highlight several aspects in which NLP (still) relies on linguistics, or where linguistic thinking can illuminate new directions. We argue our case around the acronym $RELIES$ that encapsulates six major facets where linguistics contributes to NLP: $R$esources, …
abstract arxiv become cs.ai cs.cl expertise future grammar highlight language language models language processing languages large language large language models linguistics llms mean modules natural natural language natural language processing nlp processing semantic text type
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