Revisiting the ontologising of semantic relation arguments in wordnet synsets. (22nd July 2015)
- Record Type:
- Journal Article
- Title:
- Revisiting the ontologising of semantic relation arguments in wordnet synsets. (22nd July 2015)
- Main Title:
- Revisiting the ontologising of semantic relation arguments in wordnet synsets
- Authors:
- GONÇALO OLIVEIRA, HUGO
GOMES, PAULO - Abstract:
- Abstract: Ontologising is the task of associating terms, in text, with an ontological representation of their meaning, in an ontology. In this article, we revisit algorithms that have previously been used to ontologise the arguments of semantic relations in a relationless thesaurus, resulting in a wordnet. For increased flexibility, the algorithms do not use the extraction context when selecting the most adequate synsets for each term argument. Instead, they exploit a term-based lexical network which can be established by knowledge extracted automatically, or obtained from the resource the relations are being ontologised to. On the latter idea, we made several experiments to conclude that the algorithms can be used both for wordnet creation and for their enrichment. Besides describing the algorithms with some detail, the aforementioned experiments, which target both English and Portuguese, and their results are reported and discussed.
- Is Part Of:
- Natural language engineering. Volume 22:Part 6(2016)
- Journal:
- Natural language engineering
- Issue:
- Volume 22:Part 6(2016)
- Issue Display:
- Volume 22, Issue 6, Part 6 (2016)
- Year:
- 2016
- Volume:
- 22
- Issue:
- 6
- Part:
- 6
- Issue Sort Value:
- 2016-0022-0006-0006
- Page Start:
- 819
- Page End:
- 848
- Publication Date:
- 2015-07-22
- Subjects:
- Natural language processing (Computer science) -- Periodicals
Software engineering -- Periodicals
006.35 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=NLE ↗
- DOI:
- 10.1017/S1351324915000212 ↗
- Languages:
- English
- ISSNs:
- 1351-3249
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 5955.xml