Use of Multiple Features for Extracting Topics from News Clusters
In this paper we consider a method for extraction of alternative names of a concept or a named entity mentioned in a news cluster. The method is based on the structural organization of news clusters and exploits comparison of various contexts of words. The word contexts are used as basis for multiwo...
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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/984 |
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doaj-3904544a7be14363abf4d5342fcc08ae2020-11-25T01:15:40Zeng Ivannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-0123010.15514/ISPRAS-2012-23-15984Use of Multiple Features for Extracting Topics from News ClustersA. A. Alekseev0N. V. Loukachevitch1МГУ, МоскваМГУ, МоскваIn this paper we consider a method for extraction of alternative names of a concept or a named entity mentioned in a news cluster. The method is based on the structural organization of news clusters and exploits comparison of various contexts of words. The word contexts are used as basis for multiword expression extraction and main entity detection. At the end of cluster processing we obtain groups of near-synonyms, in which the main synonym of a group is determined.https://ispranproceedings.elpub.ru/jour/article/view/984извлечение квазисинонимовмногодокументное аннотированиемоделирование структуры текста |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
A. A. Alekseev N. V. Loukachevitch |
| spellingShingle |
A. A. Alekseev N. V. Loukachevitch Use of Multiple Features for Extracting Topics from News Clusters Труды Института системного программирования РАН извлечение квазисинонимов многодокументное аннотирование моделирование структуры текста |
| author_facet |
A. A. Alekseev N. V. Loukachevitch |
| author_sort |
A. A. Alekseev |
| title |
Use of Multiple Features for Extracting Topics from News Clusters |
| title_short |
Use of Multiple Features for Extracting Topics from News Clusters |
| title_full |
Use of Multiple Features for Extracting Topics from News Clusters |
| title_fullStr |
Use of Multiple Features for Extracting Topics from News Clusters |
| title_full_unstemmed |
Use of Multiple Features for Extracting Topics from News Clusters |
| title_sort |
use of multiple features for extracting topics from news clusters |
| publisher |
Ivannikov Institute for System Programming of the Russian Academy of Sciences |
| series |
Труды Института системного программирования РАН |
| issn |
2079-8156 2220-6426 |
| publishDate |
2018-10-01 |
| description |
In this paper we consider a method for extraction of alternative names of a concept or a named entity mentioned in a news cluster. The method is based on the structural organization of news clusters and exploits comparison of various contexts of words. The word contexts are used as basis for multiword expression extraction and main entity detection. At the end of cluster processing we obtain groups of near-synonyms, in which the main synonym of a group is determined. |
| topic |
извлечение квазисинонимов многодокументное аннотирование моделирование структуры текста |
| url |
https://ispranproceedings.elpub.ru/jour/article/view/984 |
| work_keys_str_mv |
AT aaalekseev useofmultiplefeaturesforextractingtopicsfromnewsclusters AT nvloukachevitch useofmultiplefeaturesforextractingtopicsfromnewsclusters |
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1725151817338191872 |