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Linguistic Issues in Language Technology Vol 9: Perspectives on Semantic Representations for Textual Inference (Volume 9) - Softcover

 
9781575868448: Linguistic Issues in Language Technology Vol 9: Perspectives on Semantic Representations for Textual Inference (Volume 9)

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Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, deeper and 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 (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Taking an eclectic view on methodology, LiLT provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference.

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About the Authors


Annie Zaenen is consulting professor in linguistics at Stanford University.

 

 


Valeria de Paiva is senior research scientist at Nuance Communications and an honorary fellow in the School of Computer Science at the University of Birmingham, UK.  

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Paperback. Condition: new. Paperback. Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, deeper and 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 (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Taking an eclectic view on methodology, LiLT provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference. Focuses on the relationships between linguistic insights and language technology. In this volume, contributors offer perspectives on semantic representations for textual inference. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 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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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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