Text Template Mining using Named Entity Recognition
نویسندگان
چکیده
منابع مشابه
Named Entity Recognition in Persian Text using Deep Learning
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
متن کاملNamed Entity Recognition in Chinese Clinical Text
Dedication Dedicated to my motivation to improve the health outcomes of the population by using the state of the art technologies and my dream to steer the research and development of biomedical informatics as a discipline in China. iii Acknowledgements I would like to thank my advisor, Dr. Hua Xu for guiding and supporting me over the years. You have set an example of excellence as a researche...
متن کاملNamed Entity Recognition from Diverse Text Types
Current research in Information Extraction tends to be focused on application-specific systems tailored to a particular domain. The Muse system is a multi-purpose Named Entity recognition system which aims to reduce the need for costly and time-consuming adaptation of systems to new applications, with its capability for processing texts from widely differing domains and genres. Although the sys...
متن کاملText Segmentation using Named Entity Recognition and Co-reference Resolution
In this paper we examine the benefit of performing named entity recognition (NER) and co-reference resolution to an English and a Greek corpus used for text segmentation. The aim here is to examine whether the combination of text segmentation and information extraction can be beneficial for the identification of the various topics that appear in a document. NER was performed manually in the Eng...
متن کاملProduct named entity recognition in Chinese text
There are many expressive and structural differences between product names and general named entities such as person names, location names and organization names. To date, there has been little research on product named entity recognition (NER), which is crucial and valuable for information extraction in the field of market intelligence. This paper focuses on product NER (PRO NER) in Chinese te...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019918622