Automatic Extraction of New Concepts from Domain-Specific Terms
This paper describes a novel approach for recognition of domain-specific terms that exist in the knowledge base but represent new concepts. Our method can be applied to informal knowledge bases – it requires only semantic similarity between concepts and statistics of terms extracted from the corpus....
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| Format: | Article |
| Language: | English |
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Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
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| Series: | Труды Института системного программирования РАН |
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| Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/878 |
| Summary: | This paper describes a novel approach for recognition of domain-specific terms that exist in the knowledge base but represent new concepts. Our method can be applied to informal knowledge bases – it requires only semantic similarity between concepts and statistics of terms extracted from the corpus. We show that our method outperforms existing approaches and improves precision of word sense disambiguation algorithm. |
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| ISSN: | 2079-8156 2220-6426 |