Improving named entity recognition and disambiguation in news headlines
نویسندگان
چکیده
منابع مشابه
Evaluating Named Entity Recognition and Disambiguation in News and Tweets
Named entity recognition and disambiguation are important for information extraction and populating knowledge bases. Detecting and classifying named entities has traditionally been taken on by the natural language processing community, whilst linking of entities to external resources, such as DBpedia and GeoNames, has been the domain of the Semantic Web community. As these tasks are treated in ...
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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...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Information and Database Systems
سال: 2019
ISSN: 1751-5858,1751-5866
DOI: 10.1504/ijiids.2019.104530