The Swedish FrameNet++ : : Harmonization, Integration, Method Development and Practical Language Technology Applications.

• Superior document: Natural Language Processing Series ; v.14
• Author: Dannélls, Dana.
• TeilnehmendeR: Borin, Lars.; Friberg Heppin, Karin.
• Place / Publishing House: Amsterdam/Philadelphia : : John Benjamins Publishing Company,, 2021.; {copy}2021.
• Year of Publication: 2021
• Edition: 1st ed.
• Language: English
• Series: Natural Language Processing Series
• Physical Description: 1 online resource (349 pages)

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.

Table of Contents

• Intro
• The Swedish FrameNet++
• Editorial page
• Title page
• Copyright page
• Table of contents
• Acronyms
• Abbreviations
• Preface
• References
• Part I. Introduction and background
• Chapter 1. Introduction: Swedish FrameNet++
• 1. The Swedish FrameNet++
• 2. Rationale and aims of SweFN++
• 2.1 From corpus-based lexicography to language technology R&amp
• D
• 2.2 Extending the shelf life of lexical resources
• 2.3 The increasing importance of the lexicon in language technology
• 2.4 A framenet for Swedish
• 2.5 Serendipitous funding and synergies
• 3. The history of Swedish FrameNet++
• 4. Integration of existing resources
• 5. A new resource: Swedish FrameNet
• 6. Theoretical and methodological considerations
• 6.1 Interlinking of lexical resources
• 6.2 Method matters
• 6.2.1 Zipf to the rescue
• 6.2.2 Towards a general lexical infrastructure: Karp
• 6.3 Linguistic issues
• 6.3.1 Lexicography and (comparative) linguistics
• 6.3.2 Compounds in Swedish FrameNet
• 6.3.3 Multiword expressions
• 6.4 Computational vs. general linguistics
• 7. Similar initiatives
• 7.1 Multilingual wordnets
• 7.2 MTRoget and multilingual FrameNet
• 7.3 Etymological wordnet, IDS/LWT and the concepticon
• 7.4 BabelNet
• Postscript on BabelNet 5
• 8. Status and future
• 9. This volume
• Funding
• References
• Appendix A. Swedish FrameNet++ - publications
• Chapter 2. Swedish FrameNet
• 1. Introduction
• 1.1 Berkeley FrameNet
• 1.2 International framenets
• 2. Framenet development methodologies
• 2.1 The extension approach
• 2.2 Merging approach
• 2.3 Modified and new frames
• 3. Language resources and tools for building SweFN
• 4. The SweFN database
• 4.1 Database fields
• 4.2 Annotation and encoding of the data
• 4.3 Consistency checks and evaluation
• 5. Concluding remarks
• Acknowledgements
• Funding.
• References
• Part II. Harmonization and integration
• Chapter 3. Swedish FrameNet++ - lexical samsara
• 1. Introduction
• 2. Saldo: The heart of Swedish FrameNet++
• 2.1 Saldo in a nutshell
• 2.2 The origin of Saldo
• 2.3 The semantic structure of Saldo
• 2.4 Morphological information in Saldo
• 3. Persistent identifiers: The glue of Swedish FrameNet++
• 4. Branching out: Lexical semantics galore
• 4.1 The Swesaurus component of Swedish FrameNet++
• 4.2 Towards a thesaurus component of Swedish FrameNet++
• 5. Looking forward: New directions up ahead
• Acknowledgements
• Funding
• References
• Chapter 4. A lexical resource for computational historical linguistics
• 1. Introduction
• 2. A brief overview of Swedish language stages
• 3. Diachronical lexical resources
• 3.1 Adding diachronical lexicons to SweFN++
• 3.2 A lexical resource for Late Modern Swedish
• 3.3 A lexical resource for Early Modern Swedish
• 3.4 A lexical resource for Old Swedish
• 4. Diapivot
• 4.1 Methods of automatically linking lexical resources
• 4.2 An application: Studying lexical change and grammaticalization
• 5. Spelling variation and linking texts to lexicons
• 5.1 A noisy channel approach to lemmatization
• 5.2 Training a model on dictionary data
• 5.3 Evaluation
• 5.4 An application: FSvReader
• 6. Conclusions
• Funding
• References
• Appendix A. Definition of the lemmatization model
• Chapter 5. A multilingual net of lexical resources
• 1. Introduction
• 2. Synonyms and their translations
• 3. Lexical resources and their inter-lingual relations
• 3.1 Danish
• 3.2 Estonian
• 3.3 Finnish
• 3.4 Norwegian
• 3.5 Swedish
• 3.6 Multi-lingual visualization using WordTies
• 4. Conclusion
• Acknowledgements
• References
• Chapter 6. Swedish FrameNet++ and comparative linguistics
• 1. The multilingual aspects of Swedish FrameNet++.
• 2. Core vocabularies for comparative linguistic studies
• 2.1 Basic vocabularies in linguistics
• 2.2 The composition and size of core vocabularies
• 3. Two lexical databases for investigation of South Asian linguistic diversity and unity
• 3.1 Linguistic diversity in South Asia
• 3.2 Grierson's comparative vocabulary in Swedish FrameNet++
• 3.3 The Intercontinental Dictionary Series as a comparative linguistic research tool
• 3.3 The Intercontinental Dictionary Series as a comparative linguistic research tool
• 4. Conclusion and future prospects
• Acknowledgements
• Funding
• References
• Part III. Method development
• Chapter 7. NLP for resource building
• 1. Introduction
• 1.1 Frame semantics and frame-semantic lexicons
• 2. Computational representation of the meaning of words
• 2.1 The semantic network Saldo
• 2.2 Semantic representations induced from corpora
• 3. From word meaning to frame meaning
• 3.1 Methods based on distance and similarity measures
• 3.2 Classification-based methods
• 4. Quantitative evaluation
• 4.1 Evaluation metrics
• 4.2 Which way is the best to make use of the Saldo lexicon?
• 4.3 Which corpus-based semantic representations are most effective?
• 4.4 Combining lexicon-based and corpus-based classifiers
• 4.5 For which frames are our methods successful?
• 4.6 Use by lexicographers
• 5. Conclusion
• Acknowledgements
• Funding
• References
• Chapter 8. Differing design decisions - comparing Swedish FrameNet to FrameNet
• 1. Introduction
• 2. Differences
• 3. Linking to a dictionary
• 4. New frames for additional concepts
• 5. Polysemy
• 5.1 Hyponymy relations
• 5.2 Regular polysemy and Guest_LUs
• 5.3 Diverse meaning potentials
• 5.4 Frame relations and potential meanings
• 5.5 Complex relations
• 5.6 Polysemy and Swedish FrameNet: Summing up
• 6. Compounds.
• 6.1 Non-compositional compounds
• 6.2 Compositional compounds
• 6.3 Partially transparent compounds
• 6.4 The constituent-affix cline
• 7. Lexical incorporation of frame element
• 8. Socio-cultural differences
• 9. Conclusions
• Acknowledgements
• Funding
• References
• Chapter 9. Multiword expressions - a tough typological nut for Swedish FrameNet++
• 1. Background
• 2. Multiword expressions in Swedish FrameNet++
• 3. MWEs from a typological perspective: A first cut
• 3.1 The "words" of MWEs
• 3.2 The "lexemes" of MWEs
• 3.3 How frequent are multiword expressions in language?
• 3.4 What kinds of MWEs are there?
• 3.5 Where do we find cross-linguistic MWE data?
• 4. Taking stock: Towards a typology of MWEs?
• Acknowledgements
• Funding
• References
• Part IV. Natural language processing applications
• Chapter 10. Semantic role labeling
• 1. Introduction
• 2. The Swedish FrameNet
• 3. Semantic role labeling with SweFN
• 3.1 Segmentation and labeling classifiers
• 4. Experiments
• 4.1 Experimental data and preprocessing
• 4.2 Cross-validation over sentences
• 4.3 Cross-frame role label generalization
• 4.4 Analysis of features
• 4.5 Cross-validation over frames
• 4.6 Increasing classifier robustness by adding cluster features
• 4.7 The effect of syntactic parser choice
• 4.8 Evaluation in the medical domain
• 4.9 Summary of results for the baseline systems
• 5. Using the FrameNet relational structure to improve the semantic role labeler
• 5.1 A classifier using non-atomic semantic role labels
• 5.2 Generalization methods
• 6. Experiments in cross-frame generalization
• 7. Conclusion
• Acknowledgements
• References
• Chapter 11. Computational representation of FrameNet for multilingual natural language generation
• 1. Introduction
• 2. Comparison of selected framenets
• 2.1 Berkeley FrameNet.
• 2.2 Swedish FrameNet
• 2.3 Summary of the comparison
• 3. Computational framenets in Grammatical Framework
• 3.1 Grammatical Framework
• 3.2 FrameNet grammar library in GF
• 3.3 Status of the FrameNet grammar library
• 4. FrameNet-based multilingual NLG
• 4.1 Accurate generation of tourist phrases
• 4.2 Coherent text generation of museum objects
• 5. Final words
• Funding
• References
• Appendix A. Brief introduction to the GF Resource Grammar Library
• Chapter 12. Language learning and teaching with Swedish FrameNet++: Two examples
• 1. Introduction
• 1.1 Language technology and language pedagogy
• 2. Using resources within SweFN++ for learning and teaching language proficiency and grammatical analysis
• 2.1 The Swedish constructicon as a pedagogical resource
• 2.2 Exploring the usefulness of SweCcn and construction grammar for the teaching of Swedish as a second language
• 2.3 Pattern finding
• 2.4 Type case
• 2.5 Applying construction-based L2-teaching in the classroom - two small-scale studies
• 2.6 SweFN for learning linguistic analysis - semantic roles in Lärka
• 3. Developing the language pedagogical potential within SweFN++
• 4. Concluding remarks
• Acknowledgements
• Funding
• References
• Index.