Computational Linguistics

Applications

  • Adam Przepiórkowski
  • Maciej Piasecki
  • Krzysztof Jassem
  • Piotr Fuglewicz

Part of the Studies in Computational Intelligence book series (SCI, volume 458)

Table of contents

  1. Front Matter
    Pages 1-7
  2. NLP Toolkits

    1. Front Matter
      Pages 1-1
    2. Krister Lindén, Erik Axelson, Senka Drobac, Sam Hardwick, Miikka Silfverberg, Tommi A. Pirinen
      Pages 3-25
    3. Filip Graliński, Krzysztof Jassem, Marcin Junczys-Dowmunt
      Pages 27-39
    4. Bartosz Broda, Paweł Kędzia, Michał Marcińczuk, Adam Radziszewski, Radosław Ramocki, Adam Wardyński
      Pages 41-62
  3. Information Extraction

    1. Front Matter
      Pages 63-63
    2. Roman Kurc, Maciej Piasecki, Stan Szpakowicz
      Pages 65-85
    3. Cvetana Krstev, Ivan Obradović, Ranka Stanković, Duško Vitas
      Pages 109-129
    4. Aleš Horák, Adam Rambousek
      Pages 131-141
    5. Pilar León-Araúz, Arianne Reimerink, Pamela Faber
      Pages 143-161
    6. Martin Atkinson, Mian Du, Jakub Piskorski, Hristo Tanev, Roman Yangarber, Vanni Zavarella
      Pages 163-186
    7. Andreas Vlachidis, Ceri Binding, Keith May, Douglas Tudhope
      Pages 187-202
    8. Nina Volskaya, Daniil Kocharov, Pavel Skrelin, Ekaterina Shumovskaya
      Pages 203-215
  4. Multilinguality

    1. Front Matter
      Pages 217-217
    2. Aljoscha Burchardt, Cindy Tscherwinka, Eleftherios Avramidis, Hans Uszkoreit
      Pages 241-261
    3. Rafał Jaworski
      Pages 263-280
    4. Jordi Duran, Lluís Villarejo, Mireia Farrús, Sergio Ortiz, Gema Ramírez
      Pages 281-292
  5. Back Matter
    Pages 0--1

About this book

Introduction

The ever-growing popularity of Google over the recent decade has required a specific method of man-machine communication: human query should be short, whereas the machine answer may take a form of a wide range of documents. This type of communication has triggered a rapid development in the domain of Information Extraction, aimed at providing the asker with a  more precise information.

The recent success of intelligent personal assistants supporting users in searching or even extracting information and answers from large collections of electronic documents signals the onset of a new era in man-machine communication – we shall soon explain to our small devices what we need to know and expect valuable answers quickly and automatically delivered.

The progress of man-machine communication is accompanied by growth in the significance of applied Computational Linguistics – we need machines to understand much more from the language we speak naturally than it is the case of up-to-date search systems. Moreover, we need machine support in crossing language barriers that is necessary more and more often when facing the global character of the Web.

This books reports on the latest developments in the field. It contains 15 chapters written by researchers who aim at making linguistic theories work – for the better understanding between the man and the machine.

Keywords

Computational Intelligence Computational Linguistics Computational Linguistics Applications

Editors and affiliations

  • Adam Przepiórkowski
    • 1
  • Maciej Piasecki
    • 2
  • Krzysztof Jassem
    • 3
  • Piotr Fuglewicz
    • 4
  1. 1., Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  2. 2., Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  3. 3., Faculty of Mathematics and Computer ScieAdam Mickiewicz UniversityPoznańPoland
  4. 4.TiP Sp. z o. o.KatowicePoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-34399-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-34398-8
  • Online ISBN 978-3-642-34399-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book