Trends in Parsing Technology

Dependency Parsing, Domain Adaptation, and Deep Parsing

  • Harry Bunt
  • Paola Merlo
  • Joakim Nivre

Part of the Text, Speech and Language Technology book series (TLTB, volume 43)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Paola Merlo, Harry Bunt, Joakim Nivre
    Pages 1-17
  3. Johan Hall, Jens Nilsson, Joakim Nivre
    Pages 19-33
  4. Ivan Titov, James Henderson
    Pages 35-55
  5. Tetsuji Nakagawa
    Pages 69-86
  6. Massimiliano Ciaramita, Giuseppe Attardi
    Pages 87-104
  7. Qin Iris Wang, Dale Schuurmans, Dekang Lin
    Pages 105-120
  8. Keith Hall, Václav Novák
    Pages 151-167
  9. Detlef Prescher
    Pages 169-182
  10. Pierre Boullier, Benoît Sagot
    Pages 201-222
  11. Yi Zhang, Stephan Oepen, John Carroll
    Pages 223-241
  12. Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Yoshimasa Tsuruoka, Jun-ichi Tsujii
    Pages 243-256
  13. Back Matter
    Pages 293-297

About this book


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 of 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 natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.


Computational Linguistics Natural Language Processing Parsing Parsing Technology artificial intelligence machine translation natural language semantic web technology speech recognition text mining

Editors and affiliations

  • Harry Bunt
    • 1
  • Paola Merlo
    • 2
  • Joakim Nivre
    • 3
  1. 1.Tilburg UniversityTilburgNetherlands
  2. 2.Dépt. LinguistiqueUniversité de GenèveGenèveSwitzerland
  3. 3.UppsalaSweden

Bibliographic information

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IT & Software