Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jia, Shengbin"'
Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems. However, segmentation error propagation is a challenge for Chinese NER while processing colloquial data like social media tex
Externí odkaz:
http://arxiv.org/abs/2004.06384
Autor:
Jia, Shengbin
Linguistics holds unique characteristics of generality, stability, and nationality, which will affect the formulation of extraction strategies and should be incorporated into the relation extraction. Chinese open relation extraction is not well-estab
Externí odkaz:
http://arxiv.org/abs/2004.00499
Autor:
Jia, Shengbin, Xiang, Yang
Open relation extraction (ORE) remains a challenge to obtain a semantic representation by discovering arbitrary relation tuples from the unstructured text. Conventional methods heavily depend on feature engineering or syntactic parsing, they are inef
Externí odkaz:
http://arxiv.org/abs/1908.01761
Publikováno v:
In Talanta 1 May 2023 256
The Knowledge graph (KG) uses the triples to describe the facts in the real world. It has been widely used in intelligent analysis and applications. However, possible noises and conflicts are inevitably introduced in the process of constructing. And
Externí odkaz:
http://arxiv.org/abs/1809.09414
Autor:
Jia, Shengbin, Xiang, Yang
In order to satisfy the consumers' increasing personalized service demand, the Intelligent service has arisen. User service intention recognition is an important challenge for intelligent service system to provide precise service. It is difficult for
Externí odkaz:
http://arxiv.org/abs/1809.09408
Publikováno v:
In Expert Systems With Applications 15 August 2022 200
Publikováno v:
In Expert Systems With Applications 30 December 2020 162
Publikováno v:
In Expert Systems With Applications 1 June 2020 147
Publikováno v:
In Expert Systems With Applications 1 March 2020 141