A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015-11-03

AUTHORS

Liangjun Zang , Weimin Wang , Ya Wang , Fang Fang , Cong Cao , Xiaolong Wu , Qi Zhou , Ye Lu , Tingyu Li , Cungen Cao

ABSTRACT

The Chinese Framework of Semantic Taxonomy and Description (FSTD) is a linguistic resource that stores lexical and predicate-argument semantics about events or states in Chinese text, developed with the application of knowledge acquisition from Chinese text in mind. In this paper we build a web information extraction system, called NkiExtractor, to evaluate FSTD experimentally. We use two metrics: grammar coverage measures whether there is a semantic category of FSTD that corresponds to an event description in text, and extraction precision measures whether the correct predicate-argument structure can be extracted from text. Experimental results show that FSTD is a fairly comprehensive and effective resource for knowledge acquisition. We also discuss future work for expanding FSTD and improving extraction precision of NkiExtractor. More... »

PAGES

275-286

Book

TITLE

Climate Change and Energy Dynamics in the Middle East

ISBN

978-3-030-11201-1
978-3-030-11202-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-25159-2_25

DOI

http://dx.doi.org/10.1007/978-3-319-25159-2_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018640917


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