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list price: $11.75 USD
edition:Hardcover
published: Jan 2010
ISBN:9780262013871
publisher: The MIT Press
imprint: A Bradford Book

Supertagging

Using Complex Lexical Descriptions in Natural Language Processing

contributions by Tomas By; Anoop Sarkar; Richard Moot; Jun'ichi Tsujii; Saa Hasan; Karin Harbusch; Rajeev Sangal; Patrick Sturt; Pierre Boullier; Wen Wang; Vincenzo Lombardo; Srinivas Bangalore; Owen Rambow; Mary P. Harper; Aravind K. Joshi; Takuya Matsuzaki; Vijay K. Shanker; Yusuke Miyao; Martha Palmer; Jens Bäcker; Robert Frank; John Chen; Akshar Bharati; Giorgio Satta; Libin Shen; Günter Neumann; Alessandro Mazzei; Alexis Nasr; Fei Xia; Berthold Crysmann; James R. Curran; Stephen Clark; Kilian Foth & Wolfgang Menzel

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intelligence (ai) & semantics
0 of 5
0 ratings
rated!
rated!
list price: $11.75 USD
edition:Hardcover
published: Jan 2010
ISBN:9780262013871
publisher: The MIT Press
imprint: A Bradford Book
Description

Investigations into employing statistical approaches with linguistically motivated representations and its impact on Natural Language processing tasks.

The last decade has seen computational implementations of large hand-crafted natural language grammars in formal frameworks such as Tree-Adjoining Grammar (TAG), Combinatory Categorical Grammar (CCG), Head-driven Phrase Structure Grammar (HPSG), and Lexical Functional Grammar (LFG). Grammars in these frameworks typically associate linguistically motivated rich descriptions (Supertags) with words. With the availability of parse-annotated corpora, grammars in the TAG and CCG frameworks have also been automatically extracted while maintaining the linguistic relevance of the extracted Supertags. In these frameworks, Supertags are designed so that complex linguistic constraints are localized to operate within the domain of those descriptions. While this localization increases local ambiguity, the process of disambiguation (Supertagging) provides a unique way of combining linguistic and statistical information. This volume investigates the theme of employing statistical approaches with linguistically motivated representations and its impact on Natural Language Processing tasks. In particular, the contributors describe research in which words are associated with Supertags that are the primitives of different grammar formalisms including Lexicalized Tree-Adjoining Grammar (LTAG).

Contributors
Jens Bäcker, Srinivas Bangalore, Akshar Bharati, Pierre Boullier, Tomas By, John Chen, Stephen Clark, Berthold Crysmann, James R. Curran, Kilian Foth, Robert Frank, Karin Harbusch, Saa Hasan, Aravind Joshi, Vincenzo Lombardo, Takuya Matsuzaki, Alessandro Mazzei, Wolfgang Menzel, Yusuke Miyao, Richard Moot, Alexis Nasr, Günter Neumann, Martha Palmer, Owen Rambow, Rajeev Sangal, Anoop Sarkar, Giorgio Satta, Libin Shen, Patrick Sturt, Jun'ichi Tsujii, K. Vijay-Shanker, Wen Wang, Fei Xia

About the Authors

Tomas By

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Anoop Sarkar

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Richard Moot

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Jun'ichi Tsujii

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Saa Hasan

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Karin Harbusch

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Rajeev Sangal

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Patrick Sturt

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Pierre Boullier

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Wen Wang

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Vincenzo Lombardo

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Srinivas Bangalore is Principal Technical Staff Member at AT&T Labs-Research. He was awarded the AT&T Science and Technology Medal in 2009 for technical leadership and innovative contributions in Spoken Language Technology and Services.
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Srinivas Bangalore is Principal Technical Staff Member at AT&T Labs-Research. He was awarded the AT&T Science and Technology Medal in 2009 for technical leadership and innovative contributions in Spoken Language Technology and Services.
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Srinivas Bangalore is Principal Technical Staff Member at AT&T Labs-Research. He was awarded the AT&T Science and Technology Medal in 2009 for technical leadership and innovative contributions in Spoken Language Technology and Services.
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Aravind K. Joshi is Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania. He received the David Rumelhart Prize for fundamental theoretical contributions to the cognitive sciences in 2003.
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Aravind K. Joshi is Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania. He received the David Rumelhart Prize for fundamental theoretical contributions to the cognitive sciences in 2003.
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Aravind K. Joshi is Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania. He received the David Rumelhart Prize for fundamental theoretical contributions to the cognitive sciences in 2003.
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Aravind K. Joshi is Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania. He received the David Rumelhart Prize for fundamental theoretical contributions to the cognitive sciences in 2003.
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Aravind K. Joshi is Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania. He received the David Rumelhart Prize for fundamental theoretical contributions to the cognitive sciences in 2003.
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Aravind K. Joshi is Henry Salvatori Professor of Computer and Cognitive Science at the University of Pennsylvania. He received the David Rumelhart Prize for fundamental theoretical contributions to the cognitive sciences in 2003.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Robert Frank is Associate Professor of Cognitive Science at Johns Hopkins University.
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Recommended Age, Grade, and Reading Levels
Age:
18 to 100
Grade:
13 to 17

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