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

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Product Description 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. About the Author 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.  

Informacija

Autorius: Cleo Condoravdi, Annie Zaenen, Valeria de Paiva,
Leidėjas: Center for the Study of Language and Inf
Išleidimo metai: 2015
Knygos puslapių skaičius: 364
ISBN-13: 9781575868448
Formatas: 6 x 1.2 x 9 inches. Knyga minkštu viršeliu
Kalba: Anglų

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