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Abstract / Description of output
The main goal of this paper is to describe a general approach to the problem of understanding linguistic phenomena, as they appear in lexical semantics, through the analysis of large scale resources, while exploiting these results to improve the quality of the resources themselves. The main contributions are: the approach itself, a formal quantitative measure of language diversity; a set of formal quantitative measures of resource incompleteness and a large scale resource, called the Universal Knowledge Core (UKC) built following the methodology proposed. As a concrete example of an application, we provide an algorithm for distinguishing polysemes from homonyms, as stored in the UKC.
Original language | English |
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Title of host publication | Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) |
Publisher | IJCAI Inc |
Pages | 4009-4017 |
Number of pages | 9 |
ISBN (Print) | 978-0-9992411-0-3 |
DOIs | |
Publication status | Published - 25 Aug 2017 |
Event | 26th International Joint Conference on Artificial Intelligence - Melbourne, Australia Duration: 19 Aug 2017 → 25 Aug 2017 https://ijcai-17.org/index.html https://ijcai-17.org/ https://ijcai-17.org/ |
Conference
Conference | 26th International Joint Conference on Artificial Intelligence |
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Abbreviated title | IJCAI 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 19/08/17 → 25/08/17 |
Internet address |
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Dive into the research topics of 'Understanding and Exploiting Language Diversity'. Together they form a unique fingerprint.Projects
- 1 Finished
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ESSENCE - Evolution of Shared Semantics in Computational Environments (RTD)
1/11/13 → 31/10/17
Project: Research