Handbook of Natural Language ProcessingNitin Indurkhya, Fred J. Damerau CRC Press, 22 feb 2010 - 704 páginas The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater |
Índice
1 | |
3 | |
9 | |
Chapter 3 Lexical Analysis | 31 |
Chapter 4 Syntactic Parsing | 59 |
Chapter 5 Semantic Analysis | 93 |
Chapter 6 Natural Language Generation | 121 |
Empirical and Statistical Approaches | 145 |
Chapter 15 An Overview of Modern Speech Recognition | 339 |
Chapter 16 Alignment | 367 |
Chapter 17 Statistical Machine Translation | 409 |
Applications | 423 |
Chapter 18 Chinese Machine Translation | 425 |
Chapter 19 Information Retrieval | 455 |
Chapter 20 Question Answering | 485 |
Chapter 21 Information Extraction | 511 |
Chapter 7 Corpus Creation | 147 |
Chapter 8 Treebank Annotation | 167 |
Chapter 9 Fundamental Statistical Techniques | 189 |
Chapter 10 PartofSpeech Tagging | 205 |
Chapter 11 Statistical Parsing | 237 |
Chapter 12 Multiword Expressions | 267 |
Chapter 13 Normalized Web Distance and Word Similarity | 293 |
Chapter 14 Word Sense Disambiguation | 315 |
Chapter 22 Report Generation | 533 |
Chapter 23 Emerging Applications of Natural Language Generation in Information Visualization Education and Health Care | 557 |
Chapter 24 Ontology Construction | 577 |
Biomedical Text Mining | 605 |
Chapter 26 Sentiment Analysis and Subjectivity | 627 |
667 | |
Back cover | 679 |
Términos y frases comunes
algorithm alignment analysis annotation Annual Meeting answer applications approach Artificial Intelligence Association for Computational automatic bilingual bisegment bitext Cambridge chapter Chinese classification complex component Computational Linguistics constraints context corpora corpus database dependency developed discourse document domain encoding English evaluation example expressions Figure formal gene grammar input International Conference label language model lexical lexical analysis lexicon machine learning machine translation methods morphological multilingual MWEs named entities named entity recognition Natural Language Processing node noun object ontology ontology learning opinion words output parser parsing part-of-speech tagging patterns phrase POS tagging probability problem Proceedings query question relations relevant representation rules Section semantic sentence sequence similar speech recognition statistical statistical machine translation string structure supervised learning syntactic tagger target task techniques Technology token training data tree treebank types vector verb word sense disambiguation WordNet Workshop