Named Entity Recognition and Linking: A Hadith Narration Chain Study

Please enable javascript in your browser.

Sadeghian, Aref | 2023

24 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 56781 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Izadi, Mohammad
Abstract:
Recognizing people mentioned in the text of narrations, is of the main importance in validating narrations in narration analysis. The problem naturally reduces to two sub-problems: Firstly, named entities related to narrators in the text should be determined. Secondly, if they are ambigous, the purpose of each should be clearified. In this resaerch, it is tried to apply pre-trained language models in soultion of the first sub-problem. For the purpose of entity linking with entities in a KB, graph-based model is suggested
Keywords:
Graph Neural Network ; Language Model ; Named Entity Recognition ; Named Entity ; Named Entity Linking

No TOC