Title :
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
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;
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
DOI :
10.1109/FSKD.2008.131
