The Leading eBooks Store Online 4,130,202 members ⚫ 1,348,641 ebooks

New to

Learn more

Trends in Parsing Technology

Dependency Parsing, Domain Adaptation, and Deep Parsing

Trends in Parsing Technology by Harry Bunt
Buy this eBook
US$ 199.00
(If any tax is payable it will be calculated and shown at checkout.)

Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable.

This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing.

This book is the fourth in a line of such collections, and its breadth over coverage should make it suitable both as an overview of the state of the field for graduate students, and as a reference for established researchers in Computational Linguistics, Artificial Intelligence, Computer Science, Language Engineering, Information Science, and Cognitive Science. It will also be of interest to designers, developers, and advanced users of nautral language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

Springer Netherlands; October 2010
299 pages; ISBN 9789048193523
Read online, or download in secure PDF format
Title: Trends in Parsing Technology
Author: Harry Bunt; Paola Merlo; Joakim Nivre
  • News
  • Contents
No entry found