A novel sentence segmentation approach for test cases using NLP | HCLTech

A novel sentence segmentation approach for test cases using NLP

An AI solution to simplify test steps by segmenting sentences with conjunctions/prepositions, ensuring correct order and structure for extracting single keywords for AI-driven frameworks.
 
July 13, 2020
July 13, 2020
A novel sentence segmentation approach for test cases using NLP

This AI solution will act as an intermediate tool that will assist in breaking down test steps into simpler meaningful sentences by maintaining the correct order of precedence and semantic structure. In this solution processing test steps becomes easier for AI driven frameworks that process test steps into keyword or data driven formats. Whenever framework detects a sentence consisting of conjunction/preposition during test case document processing. The framework faces challenge to extract keywords/actions from the test step. In such scenarios, sentences need to be segmented to take the right keywords out of it. In most of the cases the framework is designed to expect one keyword for a test step. Therefore, sentence segmentation solution plays a key role in breaking down the sentences and extracting meaningful phrases.

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