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....
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
|
| Series: | Труды Института системного программирования РАН |
| Subjects: | |
| Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/878 |
| _version_ | 1811314804132937728 |
|---|---|
| author | N. A. Astrakhantsev |
| author_facet | N. A. Astrakhantsev |
| author_sort | N. A. Astrakhantsev |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T11:18:55Z |
| format | Article |
| id | doaj.art-7148e1c096b341f699188880f394a480 |
| institution | Directory Open Access Journal |
| issn | 2079-8156 2220-6426 |
| language | English |
| last_indexed | 2024-04-13T11:18:55Z |
| publishDate | 2018-10-01 |
| publisher | Ivannikov Institute for System Programming of the Russian Academy of Sciences |
| record_format | Article |
| series | Труды Института системного программирования РАН |
| spelling | doaj.art-7148e1c096b341f699188880f394a4802022-12-22T02:48:53ZengIvannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-01250167178878Automatic Extraction of New Concepts from Domain-Specific TermsN. A. Astrakhantsev0ИСП РАНThis 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.https://ispranproceedings.elpub.ru/jour/article/view/878извлечение концептовпредметно-специфичные терминыобогащение баз знанийобогащение онтологийнеформальная база знанийнеформальная онтологияразрешение лексической многозначностисемантический анализ |
| spellingShingle | N. A. Astrakhantsev Automatic Extraction of New Concepts from Domain-Specific Terms Труды Института системного программирования РАН извлечение концептов предметно-специфичные термины обогащение баз знаний обогащение онтологий неформальная база знаний неформальная онтология разрешение лексической многозначности семантический анализ |
| title | Automatic Extraction of New Concepts from Domain-Specific Terms |
| title_full | Automatic Extraction of New Concepts from Domain-Specific Terms |
| title_fullStr | Automatic Extraction of New Concepts from Domain-Specific Terms |
| title_full_unstemmed | Automatic Extraction of New Concepts from Domain-Specific Terms |
| title_short | Automatic Extraction of New Concepts from Domain-Specific Terms |
| title_sort | automatic extraction of new concepts from domain specific terms |
| topic | извлечение концептов предметно-специфичные термины обогащение баз знаний обогащение онтологий неформальная база знаний неформальная онтология разрешение лексической многозначности семантический анализ |
| url | https://ispranproceedings.elpub.ru/jour/article/view/878 |
| work_keys_str_mv | AT naastrakhantsev automaticextractionofnewconceptsfromdomainspecificterms |