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ConceptNet: A Practical Commonsense Reasoning Toolkit (2004)
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| Venue: | BT TECHNOLOGY JOURNAL |
| Citations: | 343 - 7 self |
BibTeX
@ARTICLE{Liu04conceptnet:a,
author = {Hugo Liu and Push Singh},
title = {ConceptNet: A Practical Commonsense Reasoning Toolkit },
journal = {BT TECHNOLOGY JOURNAL},
year = {2004},
volume = {22},
pages = {211--226}
}
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Abstract
ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents including topic-jisting (e.g. a news article containing the concepts, "gun," "convenience store," "demand money" and "make getaway" might suggest the topics "robbery" and "crime"), affect-sensing (e.g. this email is sad and angry), analogy-making (e.g. "scissors," "razor," "nail clipper," and "sword" are perhaps like a "knife" because they are all "sharp," and can be used to "cut something"), and other contextoriented inferences. The knowledgebase is a semantic network presently consisting of over 1.6 million assertions of commonsense knowledge encompassing the spatial, physical, social, temporal, and psychological aspects of everyday life. Whereas similar large-scale semantic knowledgebases like Cyc and WordNet are carefully handcrafted, ConceptNet is generated automatically from the 700,000 sentences of the Open Mind Common Sense Project -- a World Wide Web based collaboration with over 14,000 authors.
Keyphrases
practical commonsense reasoning toolkit world wide web commonsense knowledge many practical textual-reasoning task contextoriented inference semantic network real-world document similar large-scale semantic knowledgebases psychological aspect everyday life available commonsense knowledgebase demand money nail clipper open mind common sense project convenience store natural-language-processing toolkit news article
