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E-grāmata: Swedish FrameNet++: Harmonization, integration, method development and practical language technology applications

Edited by (HeppiLing AB), Edited by (University of Gothenburg), Edited by (University of Gothenburg)
  • Formāts: 347 pages
  • Sērija : Natural Language Processing 14
  • Izdošanas datums: 26-Nov-2021
  • Izdevniecība: John Benjamins Publishing Co
  • Valoda: eng
  • ISBN-13: 9789027258489
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  • Formāts: 347 pages
  • Sērija : Natural Language Processing 14
  • Izdošanas datums: 26-Nov-2021
  • Izdevniecība: John Benjamins Publishing Co
  • Valoda: eng
  • ISBN-13: 9789027258489
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"Large computational lexicons are central NLP resources. Swedish FrameNet++ aims to be a versatile full-scale lexical resource for NLP containing many kinds of linguistic information. Although focused on Swedish, this ongoing effort, which includes building a new Swedish framenet and recycling existing lexicons, has offered valuable insights into general aspects of lexical-resource building for NLP, which are discussed in this book: computational and linguistic problems of lexical semantics and lexical typology, the nature of lexical items (words and multiword expressions), achieving interoperability among heterogeneous lexical content, NLP methods for extending and interlinking existing lexicons, and deploying the new resource in practical NLP applications. This book is targeted at everyone with an interest in lexicography, computational lexicography, lexical typology, lexical semantics, linguistics, computational linguistics and related fields. We believe it should be of particular interest to those who are or have been involved in language resource creation, development and evaluation"--

Large computational lexicons are central NLP resources. Swedish FrameNet++ aims to be a versatile full-scale lexical resource for NLP containing many kinds of linguistic information. Although focused on Swedish, this ongoing effort, which includes building a new Swedish framenet and recycling existing lexicons, has offered valuable insights into general aspects of lexical-resource building for NLP, which are discussed in this book: computational and linguistic problems of lexical semantics and lexical typology, the nature of lexical items (words and multiword expressions), achieving interoperability among heterogeneous lexical content, NLP methods for extending and interlinking existing lexicons, and deploying the new resource in practical NLP applications. This book is targeted at everyone with an interest in lexicography, computational lexicography, lexical typology, lexical semantics, linguistics, computational linguistics and related fields. We believe it should be of particular interest to those who are or have been involved in language resource creation, development and evaluation.
Acronyms vii
Abbreviations ix
Preface xi
Part I Introduction and background
Chapter 1 Introduction: Swedish FrameNet++
3(34)
Lars Borin
Dana Dannells
Karin Friberg Heppin
Chapter 2 Swedish FrameNet
37(32)
Dana Dannells
Lars Borin
Markus Forsberg
Karin Friberg Heppin
Maria Toporowska Gronostaj
Part II Harmonization and integration
Chapter 3 Swedish FrameNet++ -- lexical samsara
69(28)
Lars Borin
Markus Forsberg
Lennart Lonngren
Niklas Zechner
Chapter 4 A lexical resource for computational historical linguistics
97(26)
Yvonne Adesam
Peter Andersson Lilja
Lars Borin
Gerlof Bouma
Chapter 5 A multilingual net of lexical resources
123(16)
Krister Linden
Jyrki Niemi
Lars Borin
Markus Forsberg
Bolette S. Pedersen
Sanni Nimb
Heili Orav
Neeme Kahusk
Kadri Vider
Chapter 6 Swedish FrameNet++ and comparative linguistics
139(30)
Lars Borin
Anju Saxena
Shafqat Mumtaz Virk
Bernard Comrie
Part III Method development
Chapter 7 NLP for resource building
169(22)
Richard Johansson
Chapter 8 Differing design decisions -- comparing Swedish FrameNet to FrameNet
191(30)
Karin Friberg Heppin
Chapter 9 Multiword expressions -- a tough typological nut for Swedish FrameNet++
221(42)
Lars Borin
Part IV Natural language processing applications
Chapter 10 Semantic role labeling
263(18)
Richard Johansson
Karin Friberg Heppin
Dimitrios Kokkinakis
Chapter 11 Computational representation of FrameNet for multilingual natural language generation
281(22)
Dana Dannells
Normunds Gruzitis
Chapter 12 Language learning and teaching with Swedish FrameNet++: Two examples
303(28)
Julia Prentice
Camilla Hdkansson
Therese Lindstrom Tiedemann
Ildiko Pildn
Elena Volodina
Index 331