Natural Language Generation in Interactive Systems
An informative and comprehensive overview of the state-of-the-art in natural language generation for interactive systems, this guide serves to introduce graduate students and new researchers to the field of natural language processing and artificial intelligence, with links to corpora, data, software and other resources for pursuing research in this field.
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Produktdetails
Weitere Autoren: Bangalore, Srinivas (Dr) (Hrsg.)
- ISBN: 978-1-107-01002-4
- EAN: 9781107010024
- Produktnummer: 16496742
- Verlag: Cambridge University Press
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 379 S.
- Masse: H18.2 cm x B24.6 cm x D2.2 cm 894 g
- Abbildungen: 37 Tables, black and white; 65 Line drawings, unspecified
- Gewicht: 894
- Sonstiges: Tertiary Education (US: College)
Über den Autor
Amanda Stent is a researcher at AT&T Labs - Research. Her areas of interest are at the intersection of dialog systems and natural language generation and include coreference, sentence planning, alignment in dialog, and applications of NLG to topics ranging from computer security to assistive technology. Dr Stent has authored over 70 research publications and holds several patents. Srinivas Bangalore has been at AT&T Labs - Research since 1997 and has worked on many areas of natural language processing including spoken language translation, multimodal understanding, language generation and question-answering. He has co-edited a book, Supertagging, authored over 100 research publications, and holds 45 patents in these areas. He has been awarded the AT&T Outstanding Mentor Award and the AT&T Science and Technology Medal.
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