nam a22 c 4500 nlp.14/6027522 nljbp 250625062923.2 cr ||||||||||| 241210s2021 ne |||||||||||||||||eng|d 2021042005 9789027258489 (e-Book) nljbp eng nljbp nljbp PD5611 439.73028 23/eng/20211018 CFX bicssc LAN009000 bisacsh The Swedish FrameNet++ Harmonization, integration, method development and practical language technology applications Edited by Dana Dannélls, Lars Borin and Karin Friberg Heppin Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2021 ©2021 1 online resource (xiv, 333 pp. ) text txt rdacontent computer c rdamedia online resource cr rdacarrier Natural Language Processing 1567-8202 14 Includes bibliographical references and index. Preface -- Chapter 1. Introduction / Lars Borin, Dana Dannélls and Karin Friberg Heppin -- Chapter 2. Swedish FrameNet / Dana Dannélls, Lars Borin, Markus Forsberg, Karin Friberg Heppin and Maria Toporowska Gronostaj -- Chapter 3. Swedish FrameNet++ – lexical samsara / Lars Borin, Markus Forsberg, Lennart Lönngren and Niklas Zechner -- Chapter 4. A lexical resource for computational historical linguistics / Yvonne Adesam, Peter Andersson Lilja, Lars Borin and Gerlof Bouma -- Chapter 5. A multilingual net of lexical resources / Krister Lindén, Jyrki Niemi, Lars Borin, Markus Forsberg, Bolette S. Pedersen, Sanni Nimb, Heili Orav, Neeme Kahusk and Kadri Vider -- Chapter 6. Swedish FrameNet++ and comparative linguistics / Lars Borin, Anju Saxena, Shafqat Mumtaz Virk and Bernard Comrie -- Chapter 7. NLP for resource building / Richard Johansson -- Chapter 8. Differing design decisions – comparing Swedish FrameNet to FrameNet / Karin Friberg Heppin -- Chapter 9. Multiword expressions – a tough typological nut for Swedish FrameNet++ / Lars Borin -- Chapter 10. Semantic role labeling / Richard Johansson, Karin Friberg Heppin and Dimitrios Kokkinakis -- Chapter 11. Computational representation of FrameNet for multilingual natural language generation / Dana Dannélls and Normunds Grūzītis -- Chapter 12. Language learning and teaching with Swedish FrameNet++ / Julia Prentice, Camilla Håkansson, Therese Lindström Tiedemann, Ildikó Pilán and Elena Volodina 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. Provided by publisher. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Computational & corpus linguistics Corpus linguistics Germanic linguistics Dannélls, Dana editor Borin, Lars editor Friberg Heppin, Karin editor Hardbound version: Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2021 9789027209900 DOI https://doi.org/10.1075/nlp.14 Open Access https://www.jbe-platform.com/content/books/9789027258489