Chinese Scientific And Technological Named Entity identification and Relation extraction based on knowledge tree

Autor:	Peng Lu, Yiping Yang, Yibo Gao, Xiaorong Qu, Xi Liu
Rok vydání:	2013
Předmět:	Relation (database) business.industry Computer science Information processing computer.software_genre Relationship extraction Named entity Tree (data structure) Identification (information) Test set Artificial intelligence Semantic information business computer Natural language processing
Zdroj:	IEEE Conference Anthology.
Popis:	In Scientific and Technological (S&T) papers, we first define Chinese S&T Named Entity (CSTNE) and Relation between Chinese S&T Named Entities (RCSTNE) that can offer help to solve the problem of deep knowledge mining in S&T literature database. Based on the definition of CSTNE and RCSTNE, we build their models which include semantic information. The relevant methods based on knowledge tree are also proposed to identify CSTNE and extract RCSTNE from S&T literatures. The evaluation on a large test set shows good result. Our experiments further demonstrate the practicality of our method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::30c3b0208f11141e33658b6861fe6223 https://doi.org/10.1109/anthology.2013.6784932 Zobrazit plný text záznamu