Document - Rule-based NLP vs ChatGPT in ambiguity detection, a preliminary study

2023

Conference article Open Access

Rule-based NLP vs ChatGPT in ambiguity detection, a preliminary study

Fantechi A, Gnesi S, Semini L

Ambiguity detection in requirements ChatGPT Rule-based NLP tools

With the rapid advances of AI-based tools, the question of whether to use such tools or conventional rule-based tools often arises in many application domains. In this paper, we address this question when considering the issue of ambiguity in requirements documents. For this purpose, we consider GPT-3 that is the third-generation of the Generative Pretrained Transformer language model, developed by OpenAI and we compare its ambiguity detection capability with that of a publicly available rule-based NLP tool on a few example requirements documents.

Source: CEUR WORKSHOP PROCEEDINGS. Barcelona, Spain, 17-20/04/2023

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:482040,
	title = {Rule-based NLP vs ChatGPT in ambiguity detection, a preliminary study},
	author = {Fantechi A and Gnesi S and Semini L},
	booktitle = {CEUR WORKSHOP PROCEEDINGS. Barcelona, Spain, 17-20/04/2023},
	year = {2023}
}