Linguistic Issues in Language Technology : Perspectives on Semantic Representations for Textual Inference

Condoravdi, Cleo (EDT); De Paiva, Valeria (EDT); Zaenen, Annie (EDT)

ISBN 10: 157586844X ISBN 13: 9781575868448
Published by Center for the Study of Language and Inf, 2015
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Linguistic Issues in Language Technology focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Linguistic Issues in Language Technology provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference.

About the Author: Cleo Condoravdi is professor of linguistics at Stanford University. Valeria de Paiva is a mathematician and computer scientist at the Natural Language and AI Research Laboratory of Nuance Communications, Inc. Annie Zaenen is consulting professor in linguistics at Stanford University.

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Title: Linguistic Issues in Language Technology : ...
Publisher: Center for the Study of Language and Inf
Publication Date: 2015
Binding: Soft cover
Condition: New

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ISBN 10: 157586844X ISBN 13: 9781575868448
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Condition: New. Focuses on the relationships between linguistic insights and language technology. In this volume, contributors offer perspectives on semantic representations for textual inference. Editor(s): Condoravdi, Cleo; De Paiva, Valeria; Zaenen, Annie E. Num Pages: 364 pages. BIC Classification: CFG; CFX. Category: (G) General (US: Trade). Dimension: 60 x 90 x 23. Weight in Grams: 499. . 2015. Annotated. Paperback. . . . . Seller Inventory # V9781575868448

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Condition: New. Focuses on the relationships between linguistic insights and language technology. In this volume, contributors offer perspectives on semantic representations for textual inference. Editor(s): Condoravdi, Cleo; De Paiva, Valeria; Zaenen, Annie E. Num Pages: 364 pages. BIC Classification: CFG; CFX. Category: (G) General (US: Trade). Dimension: 60 x 90 x 23. Weight in Grams: 499. . 2015. Annotated. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781575868448

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Paperback. Condition: New. Linguistic Issues in Language Technology focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Linguistic Issues in Language Technology provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference. Seller Inventory # LU-9781575868448

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Paperback. Condition: New. Linguistic Issues in Language Technology focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Linguistic Issues in Language Technology provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference. Seller Inventory # LU-9781575868448

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