Acquiring Commonsense Knowledge about Properties of Concepts from Text

Author

Cao, Ya-nan ; Cao, Cungen ; Zang, Liangjun ; Zhu, Yao ; Wang, Shi ; Wang, Dongsheng

Author_Institution

Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing

Volume

4

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

155

Lastpage

159

Abstract

Commonsense knowledge plays an important role in various areas such as natural language understanding, information retrieval, etc. This paper presents a method for acquiring commonsense knowledge about properties of concepts by analyzing how adjectives are used with nouns in everyday language. We firstly mine a large scale corpus for potential concept-property pairs using lexico-syntactic patterns and then filter erroneously acquired ones based on heuristic rules and statistical approaches. For each concept, we automatically select the commonsensical properties and evaluate their applicability. Finally, we generate commonsense knowledge represented with explicit fuzzy quantifiers. Experimental results demonstrate the effectiveness of our approach.

Keywords

common-sense reasoning; data mining; natural languages; statistical analysis; text analysis; commonsense knowledge; explicit fuzzy quantifiers; heuristic rules; information retrieval; lexico-syntactic patterns; natural language understanding; statistical approaches; Computers; Filters; Fuzzy systems; Information processing; Information retrieval; Laboratories; Large-scale systems; Natural languages; Statistical distributions; Text recognition; applicability; commonsensical property; fuzzy quantifier; knowledge acquisition;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Jinan Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.131

Filename

4666375