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

Brossura

ISBN 10: 157586844X ISBN 13: 9781575868448

Casa editrice: Stanford Univ Center for the Study, 2015

Riassunto

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.

Su questo libro

L'autore

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.

Dettagli dell?edizione

• Editore: Stanford Univ Center for the Study
• Data di pubblicazione: 2015
• ISBN 10: 157586844X
• ISBN 13: 9781575868448
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 346
• Redattore: Condoravdi Cleo, De Paiva Valeria, Zaenen Annie