Natural language processing knowledge network approach for interactive highlighting and summary

Alexander Dudko, Tatiana Endrjukaite, Yasushi Kiyoki

研究成果: Chapter

抜粋

This paper describes a new approach of data retrieval from free text documents in medical domain. Proposed approach creates the document summary and highlights most important keywords in the text by means of document ontology, as an internal representation of the document. This document ontology is a graph with concepts, relations between them, and concept points as a metric of relevance. By means of points the approach performs ambiguity resolution, selects most relevant concepts to display in the summary, and votes for keywords highlighting in the text. Moreover, interactive highlighting reveals additional information from document ontology as reader interacts with the keywords and summary in the document. The described approach helps to speed up analysis and decision-making processes by means of providing aggregated summary for a document and highlighting most meaningful parts of the text.

元の言語English
ホスト出版物のタイトルLecture Notes in Networks and Systems
出版者Springer
ページ191-200
ページ数10
DOI
出版物ステータスPublished - 2019 1 1

出版物シリーズ

氏名Lecture Notes in Networks and Systems
68
ISSN(印刷物)2367-3370
ISSN(電子版)2367-3389

    フィンガープリント

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Control and Systems Engineering

これを引用

Dudko, A., Endrjukaite, T., & Kiyoki, Y. (2019). Natural language processing knowledge network approach for interactive highlighting and summary. : Lecture Notes in Networks and Systems (pp. 191-200). (Lecture Notes in Networks and Systems; 巻 68). Springer. https://doi.org/10.1007/978-3-030-12450-2_18