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        <title>Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet</title>
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    <abstract>In this paper we present two methods for automatic common sense knowledge evaluation for Japanese entries in ConceptNet ontology. Our proposed methods utilize text-mining approach: one with relation clue words and WordNet synonyms, and one without. Both methods were tested with a blog corpus. The system based on our proposed methods reached relatively high precision score for three relations (MadeOf, UsedFor, AtLocation), which is comparable with previous research using commercial search engines and simpler input. We analyze errors and discuss problems of common sense evaluation, both manual and automatic and propose ideas for further improvements.</abstract>
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%0 Conference Proceedings
%T Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet
%A Shudo, Seiya
%A Rzepka, Rafal
%A Araki, Kenji
%Y Hasida, Koiti
%Y Wong, Kam-Fai
%Y Calzorari, Nicoletta
%Y Choi, Key-Sun
%S Proceedings of the 12th Workshop on Asian Language Resources (ALR12)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F shudo-etal-2016-automatic
%X In this paper we present two methods for automatic common sense knowledge evaluation for Japanese entries in ConceptNet ontology. Our proposed methods utilize text-mining approach: one with relation clue words and WordNet synonyms, and one without. Both methods were tested with a blog corpus. The system based on our proposed methods reached relatively high precision score for three relations (MadeOf, UsedFor, AtLocation), which is comparable with previous research using commercial search engines and simpler input. We analyze errors and discuss problems of common sense evaluation, both manual and automatic and propose ideas for further improvements.
%U https://aclanthology.org/W16-5413
%P 105-112

Markdown (Informal)

[Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet](https://aclanthology.org/W16-5413) (Shudo et al., ALR 2016)

• Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet (Shudo et al., ALR 2016)

ACL

• Seiya Shudo, Rafal Rzepka, and Kenji Araki. 2016. Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet. In Proceedings of the 12th Workshop on Asian Language Resources (ALR12), pages 105–112, Osaka, Japan. The COLING 2016 Organizing Committee.