Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.131 | FSKD |
Keywords | Field | DocType |
acquiring commonsense knowledge,important role,commonsensical property,information retrieval,everyday language,heuristic rule,explicit fuzzy quantifiers,commonsense knowledge,natural language understanding,large scale corpus,statistical analysis,pattern matching,cognition,common sense reasoning,filtering,pediatrics,color,natural languages,matched filters,data mining,snow,noun,text analysis | Commonsense knowledge,Heuristic,Computer science,Fuzzy logic,Commonsense reasoning,Noun,Natural language understanding,Natural language,Natural language processing,Artificial intelligence,Knowledge acquisition,Machine learning | Conference |
Citations | PageRank | References |
3 | 0.50 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ya-nan Cao | 1 | 131 | 19.42 |
| Cungen Cao | 2 | 309 | 58.63 |
| Liangjun Zang | 3 | 5 | 2.24 |
| Yao Zhu | 4 | 16 | 4.63 |
| Shi Wang | 5 | 28 | 12.46 |
| Dongsheng Wang | 6 | 5 | 1.53 |