Structural Approach to Enhancing WordNet with Conceptual Frame Semantics

Svetlozara Leseva, Ivelina Stoyanova


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.
Anthology ID:
R19-1074
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
629–637
Language:
URL:
https://aclanthology.org/R19-1074
DOI:
10.26615/978-954-452-056-4_074
Bibkey:
Cite (ACL):
Svetlozara Leseva and Ivelina Stoyanova. 2019. Structural Approach to Enhancing WordNet with Conceptual Frame Semantics. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 629–637, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Structural Approach to Enhancing WordNet with Conceptual Frame Semantics (Leseva & Stoyanova, RANLP 2019)
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PDF:
https://aclanthology.org/R19-1074.pdf