The Swedish Framenet++ : harmonization, integration, method development and practical language technology applications /

"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...

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Bibliographic Details
Other Authors:	Dannélls, Dana (Editor), Borin, Lars (Editor), Heppin, Karin Friberg (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam ; Philadelphia : John Benjamins Publishing Company, [2021]
Series:	Natural language processing, volume 14
Subjects:	Swedish language > Lexicography. Lexicography > Data processing. Corpora (Linguistics) Computational linguistics. Suédois (Langue) > Lexicographie. Lexicographie > Informatique. Corpus (Linguistique) Linguistique informatique. computational linguistics. LANGUAGE ARTS & DISCIPLINES / Linguistics / General. Computational linguistics Lexicography > Data processing Swedish language > Lexicography Electronic books.
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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.
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.