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A Structural Approach to EnhancingWordNet with Conceptual Frame Semantics
- Source :
- RANLP
- Publication Year :
- 2019
- Publisher :
- Incoma Ltd., Shoumen, Bulgaria, 2019.
-
Abstract
- This paper outlines procedures for enhancing WordNet with conceptual information from FrameNet. The mapping of the two resources is non-trivial. We define a number of techniques for the validation of the consistency of the mapping and the extension of its coverage which make use of the structure of both resources and the systematic relations between synsets in WordNet and between frames in FrameNet, as well as between synsets and frames). We present a case study on causativity, a relation which provides enhancement complementary to the one using hierarchical relations, by means of linking in a systematic way large parts of the lexicon. We show how consistency checks and denser relations may be implemented on the basis of this relation. We, then, propose new frames based on causative-inchoative correspondences and in conclusion touch on the possibilities for defining new frames based on the types of specialisation that takes place from parent to child synset.
- Subjects :
- Structure (mathematical logic)
Relation (database)
Computer science
business.industry
WordNet
020206 networking & telecommunications
02 engineering and technology
Extension (predicate logic)
Semantics
computer.software_genre
Lexicon
Consistency (database systems)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
FrameNet
business
computer
Natural language processing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings - Natural Language Processing in a Deep Learning World
- Accession number :
- edsair.doi...........8d3273663e96a4a0df38ffe36a220629
- Full Text :
- https://doi.org/10.26615/978-954-452-056-4_074