Bo-Shun Liao’s scientific contributions

... Some work focused on using rule, such as co-occurrence, and traditional Chinese medicine integrative database to extract relation among herb, genge, syndrome and disease, and to complete molecular mechanism analysis. On the other hand, a series of NLP methods, such as word segmentation and syntactic parsing, have been proposed to handle Chinese open relation extraction [13]. For example, A semi-supervised model was proposed in work [14] based on bootstrapping to discover the knowledge of gene functional, including extracting the relation among disease, symptom and gene in TCM bibliographic literature and MEDLINE. 1 The topic model is a popular method for relation extraction in TCM literature. ...

Reference:

Relation Extraction for Chinese Clinical Records Using Multi-View Graph Learning

... Half of these errors are categorized as missing wordlevel linguistic components. We also developed and implemented a special-purpose retrieval system for the TOCFL learner corpus, which is available online at http://tocfl.itc.ntnu.edu.tw, to facilitate interlanguage analysis for second language acquisition (Lee et al., 2015a). Take the ' 讓 ' (rang4 'to make') sentence for example, we can choose the main error type S and the sub-type rang. ...

Reference:

Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis

... A well-written text document, no matter whether it is in English or Chinese, often consists of sentences whose entities are linked through semantic relations (for example, "employment" relation between "person" and "company", "has" relation between "product" and "feature", and "is a" relation between two "con- 5 cepts"). Relation Extraction (RE) is a task of extracting semantic relations from a given text document. ...

Reference:

Improving Extraction of Chinese Open Relations Using Pre-trained Language Model and Knowledge Enhancement