Traditional Chinese Medicine (TCM) has been actively researched through various
approaches, including computational techniques. A review on basic elements of TCM is …

In this paper, we propose a hybrid named entity recognition (NER) approach that takes the
advantages of rule-based and machine learning-based approaches in order to improve the …

Named Entity Recognition (NER) is an essential task for many natural language processing
systems, which makes use of various linguistic resources. NER becomes more complicated …

This study aims to solve the problem of named entity recognition of complex mechanical
equipment faults, especially the problems of many professional terms, long sentences, fuzzy …

With the popularity and widespread use of social media platforms, such as Twitter and
Facebook, massive amounts of text and image information posted by a variety of users have …

A boundary assembling (BA) method is presented for Chinese entity-mention recognition.
Given a sentence, instead of recognizing entity mentions in a unitary style, the authors' BA …

ABSTRACT Named Entity Recognition (NER) aims to classify words in a document into pre-
defined target entity classes and is now considered to be fundamental for many natural …

This study introduces an advanced method for extracting operation tuples across sentences
in grid operation tickets. By leveraging the Language Technology Platform (LTP) and BERT …

(11 **科学院自动化研究所模式识别国家重点实验室北京100080; 21 富士通研究开发中心
有限公司北京100016) 摘要: 市场信息化使得商务信息抽取, 市场内容管理日益成为信息科学 …

Grapheme-to-phoneme conversion plays an important role in text-to-speech applications
and other fields of computational linguistics. Although Korean uses a phonemic writing …