Information Extraction Technologies In Question-Answer Systems
Keywords:
Question-answering systems, information extraction, NLP, named object recognition, semantic analysis, machine learning.Abstract
This article studies and analyzes the technologies of extracting the necessary information from textual data in modern question-answer (QA) systems (Information Extraction). In the framework of the study, the effectiveness of natural language processing (NLP), object recognition. (NER) and semantic search methods was studied. The results obtained indicate that the accuracy of semantic methods is higher than that of simple keyword search. The results of the study can be used in the development of intelligent search and chatbot systems.
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