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| Επισήμανση Μέρους του Λόγου (Part-of-Speech Tagging - POS Tagging)× | Τμηματοποίηση Κειμένου× | |
|---|---|---|
| Πεδίο | Εξόρυξη Κειμένου | Εξόρυξη Κειμένου |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | — | 1997 |
| Δημιουργός≠ | — | Marti A. Hearst (TextTiling) |
| Τύπος≠ | NLP sequence-labelling task | NLP document-structure / topic-boundary detection |
| Θεμελιώδης πηγή≠ | Ratnaparkhi, A. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. EMNLP. link ↗ | Hearst, M.A. (1997). TextTiling: Segmenting Text into Multi-Paragraph Subtopic Passages. Computational Linguistics, 23(1), 33-64. link ↗ |
| Εναλλακτικές ονομασίες≠ | part-of-speech tagging, grammatical tagging, Sözcük Türü Etiketleme (POS Tagging) | topic segmentation, discourse segmentation, linear text segmentation, Metin Bölümleme (Text Segmentation) |
| Συναφείς≠ | 3 | 4 |
| Σύνοψη≠ | Part-of-speech tagging assigns a grammatical category label — noun, verb, adjective, and so on — to every word in a text. It is a foundational natural-language-processing task, formalised as a statistical model by Ratnaparkhi (1996) and packaged into widely used toolkits such as Stanford CoreNLP (Manning et al., 2014), and it serves as a preliminary step for syntactic analysis and information extraction. | Text segmentation divides a long document into meaningful sections (segments) along topic or discourse boundaries. Introduced for subtopic passages by Marti A. Hearst's TextTiling (1997), it supports document-structure analysis and the detection of topic transitions in continuous text. |
| ScholarGateΣύνολο δεδομένων ↗ |
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