rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introduction to natural language processing
  name:
    name part: Eisenstein, Jacob
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: mau
    date issued: 2019
    copyright date: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xiv, 519 pages : illustrations ; 24 cm.
  abstract: The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing, information extraction, machine translation and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations.
  note: Jacob Eisenstein.
  note: Includes bibliographical references (pages [459]-508) and index.
  subject:
    topic: Natural language processing (Computer science)
  classification: QA76.9.N38 E46 2019
  classification: 006.3/5
  related item:
    title info:
      title: Adaptive computation and machine learning
  identifier: 9780262042840
  identifier: 0262042843
  identifier: 2018059552
  record info:
    record content source: DLC
    record creation date: 181214
    record change date: 20200117104446.0
    record identifier: in00004081999