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| Етикетиране по части на речта (POS Tagging)× | Chunking× | |
|---|---|---|
| Област | Извличане на текст | Извличане на текст |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | — | 1991 |
| Създател≠ | — | Steven Abney |
| Тип≠ | NLP sequence-labelling task | NLP partial-parsing task |
| Основополагащ източник≠ | Ratnaparkhi, A. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. EMNLP. link ↗ | Abney, S. (1991). Parsing by Chunks. In Principle-Based Parsing. Kluwer Academic Publishers. ISBN: 978-0-7923-1173-4 |
| Други названия | part-of-speech tagging, grammatical tagging, Sözcük Türü Etiketleme (POS Tagging) | shallow parsing, partial parsing, Yüzeysel Ayrıştırma (Chunking) |
| Свързани≠ | 3 | 4 |
| Резюме≠ | 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. | Chunking, also called shallow parsing, is a natural-language-processing task introduced by Steven Abney in 1991 that divides text into grammatical pieces — such as noun phrases and verb phrases — using part-of-speech tags. It extracts useful syntactic structure quickly without building a full parse tree of the sentence. |
| ScholarGateНабор от данни ↗ |
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