Book
Natural Language Processing
| Identifier | --jacobeisen-1603 |
|---|---|
| Penulis / Pengarang | Jacob Eisenstein |
| Kata Kunci | Natural Language Processing |
| Tanggal Publikasi | 13 Nov 2018 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | The goal of this text is focus on a core subset of the natural language processing, uniï¬Âed by the concepts of learning and search. A remarkable number of problems in natural language processing can be solved by a compact set of methods: Search. Viterbi, CKY, minimum spanning tree, shift-reduce, integer linear programming, beam search. Learning. Maximum-likelihood estimation, logistic regression, perceptron, expectationmaximization, matrix factorization, backpropagation. This text explains how these methods work, and how they can be applied to a wide range of tasks: document classiï¬Âcation, word sense disambiguation, part-of-speech tagging, named entity recognition, parsing, coreference resolution, relation extraction, discourse analysis, language modeling, and machine translation. |
Attached Files / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | eisenstein-nlp-notes.pdf | application/pdf | 3,2 MB | ⬇️ Buka / Download |
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