PART I Classical Approaches
1 Classical Approaches to Natural Language Processing Robert Dale ................. 3
2 Text Preprocessing David D. Palmer.......................................................... 9
3 Lexical Analysis Andrew Hippisley............................................................. 31
4 Syntactic Parsing Peter Ljunglöf and Mats Wirén ......................................... 59
5 Semantic Analysis Cliff Goddard and Andrea C. Schalley ............................... 93
6 Natural Language Generation David D. McDonald ...................................... 121
PART II Empirical and Statistical Approaches
7 Corpus Creation Richard Xiao .................................................................. 147
8 Treebank Annotation Eva Hajicová, Anne Abeillé, Jan Haji ˇ c, Ji ˇ rí Mírovský, ˇ
and Zdenka Urešová ˇ .................................................................................. 167
9 Fundamental Statistical Techniques Tong Zhang ......................................... 189
10 Part-of-Speech Tagging Tunga Güngör ...................................................... 205
11 Statistical Parsing Joakim Nivre................................................................. 237
12 Multiword Expressions Timothy Baldwin and Su Nam Kim........................... 267
vii
viii Contents
13 Normalized Web Distance and Word Similarity Paul M.B. Vitányi
and Rudi L. Cilibrasi .................................................................................. 293
14 Word Sense Disambiguation David Yarowsky ............................................. 315
15 An Overview of Modern Speech Recognition Xuedong Huang and Li Deng ...... 339
16 Alignment Dekai Wu .............................................................................. 367
17 Statistical Machine Translation Abraham Ittycheriah.................................... 409
PART III Applications
18 Chinese Machine Translation Pascale Fung ................................................ 425
19 Information Retrieval Jacques Savoy and Eric Gaussier ................................. 455
20 Question Answering Diego Mollá-Aliod and José-Luis Vicedo ........................ 485
21 Information Extraction Jerry R. Hobbs and Ellen Riloff ................................. 511
22 Report Generation Leo Wanner ................................................................ 533
23 Emerging Applications of Natural Language Generation in Information
Visualization, Education, and Health Care Barbara Di Eugenio
and Nancy L. Green ................................................................................... 557
24 Ontology Construction Philipp Cimiano, Johanna Völker,
and Paul Buitelaar .................................................................................... 577
25 BioNLP: Biomedical Text Mining K. Bretonnel Cohen .................................. 605
26 Sentiment Analysis and Subjectivity Bing Liu .............................................. 627
Index ............................................................................................................ 667
https://karczmarczuk.users.greyc.fr/TEACH/TAL/Doc/Handbook%20Of%20Natural%20Language%20Processing,%20Second%20Edition%20Chapman%20&%20Hall%20Crc%20Machine%20Learning%20&%20Pattern%20Recognition%202010.pdf
Friday 31 December 2010
The Oxford Handbook of Computational Linguistics 1st ed
Introduction 1
Part I Formal Foundations 9
1 Formal Language Theory 11
SHULY WINTNER
2 Computational Complexity in Natural Language 43
IAN PRATT-HARTMANN
3 Statistical Language Modeling 74
CIPRIAN CHELBA
4 Theory of Parsing 105
MARK-JAN NEDERHOF AND GIORGIO SATTA
Part II Current Methods 131
5 Maximum Entropy Models 133
ROBERT MALOUF
6 Memory-Based Learning 154
WALTER DAELEMANS AND ANTAL VAN DEN BOSCH
7 Decision Trees 180
HELMUT SCHMID
8 Unsupervised Learning and Grammar Induction 197
ALEXANDER CLARK AND SHALOM LAPPIN
9 Artificial Neural Networks 221
JAMES B. HENDERSON
“9781405155816_1_000” — 2010/5/14 — 16:54 — page viii — #8
viii Contents
10 Linguistic Annotation 238
MARTHA PALMER AND NIANWEN XUE
11 Evaluation of NLP Systems 271
PHILIP RESNIK AND JIMMY LIN
Part III Domains of Application 297
12 Speech Recognition 299
STEVE RENALS AND THOMAS HAIN
13 Statistical Parsing 333
STEPHEN CLARK
14 Segmentation and Morphology 364
JOHN A. GOLDSMITH
15 Computational Semantics 394
CHRIS FOX
16 Computational Models of Dialogue 429
JONATHAN GINZBURG AND RAQUEL FERNÁNDEZ
17 Computational Psycholinguistics 482
MATTHEW W. CROCKER
Part IV Applications 515
18 Information Extraction 517
RALPH GRISHMAN
19 Machine Translation 531
ANDY WAY
20 Natural Language Generation 574
EHUD REITER
21 Discourse Processing 599
RUSLAN MITKOV
22 Question Answering 630
BONNIE WEBBER AND NICK WEBB
References 655
Author Index 742
Subject Index 763
http://santini.se/teaching/sais/ClarkEtAl2010_HandbookNLP.pdf
http://santini.se/teaching/sais/ClarkEtAl2010_HandbookNLP.pdf
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