Rule-based NLP vs ChatGPT in ambiguity detection, a preliminary study
Contributo in Atti di convegno
Data di Pubblicazione:
2023
Abstract:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Ambiguity detection in requirements; ChatGPT; Rule-based NLP tools
Elenco autori:
Fantechi, Alessandro; Semini, Laura; Gnesi, Stefania
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
REFSQ-JP 2023
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