Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Коллокационный анализ× | Зависимостный парсинг× | |
|---|---|---|
| Область | Интеллектуальный анализ текста | Интеллектуальный анализ текста |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990 | — |
| Автор метода≠ | Church & Hanks | — |
| Тип≠ | Statistical text-mining technique | NLP syntactic-analysis task |
| Основополагающий источник≠ | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ | Nivre, J. (2005). Dependency Grammar and Dependency Parsing. MSI Report. link ↗ |
| Другие названия | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) | syntactic dependency analysis, dependency tree parsing, Bağımlılık Ayrıştırma (Dependency Parsing) |
| Связанные | 3 | 3 |
| Сводка≠ | Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus. | Dependency parsing is a natural-language-processing task that reveals the syntactic dependency relations between the words of a sentence as a tree structure. Surveyed in the dependency-grammar tradition by Nivre (2005) and made fast and accurate with neural networks by Chen and Manning (2014), it is commonly used as a prerequisite step for information extraction and relation detection. |
| ScholarGateНабор данных ↗ |
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