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• W3204236664 abstract "The paper presents a feature-rich approach to the automatic recognition and categorization of named entities (persons, organizations, locations, and miscellaneous) in news text for Bulgarian. We combine well-established features used for other languages with language-specific lexical, syntactic and morphological information. In particular, we make use of the rich tagset annotation of the BulTreeBank (680 morpho-syntactic tags), from which we derive suitable task-specific tagsets (local and nonlocal). We further add domain-specific gazetteers and additional unlabeled data, achieving F1=89.4%, which is comparable to the state-of-the-art results for English." @default.
• W3204236664 created "2021-10-11" @default.
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• W3204236664 date "2021-09-26" @default.
• W3204236664 modified "2023-09-27" @default.
• W3204236664 title "Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields" @default.
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• W3204236664 hasPublicationYear "2021" @default.
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