VerbAtlas 1.0 - Semantic Role Labeling and beyond! c/o Roberto Navigli
- 466 semantically-coherent frames using 26 cross-frame VerbNet-inspired semantic roles for their argument structure.
- Available both for download and via RESTful API.
- Full coverage of WordNet 3.0 verb synsets (13,000+).
- Complete linkage to BabelNet 4.0, which supports 280+ languages (new version to come later this year!).
- Manual mapping to PropBank of all CoNLL-2009 and CoNLL-2012 dataset occurrences (5000+ mappings).
- Selectional preferences: the superconcept most probably associated with a semantic role in a frame (e.g. food for the patient role of the EAT frame).
- Default/shadow arguments: arguments logically implied or already incorporated into a verb.
- Implicit arguments: arguments that are implicit in the argument structure of a verb.
Roberto Navigli
Sapienza University of Rome
Viale Regina Elena 295b (building G, second floor)
00161 Roma Italy
Home Page: http://wwwusers.di.uniroma1.it/~navigli
My Source:
The Semantic-web list @w3.org
What are / should be the current core verbs allocated to each of the care (knowledge) domains of Hodges' model?
*personalise | scientify |
socialise | politicise |
From above introduction to VerbAtlas:
"A state-of-the-art span-based SRL system which uses VerbAtlas and PropBank jointly is also available from the same website (just type a sentence!)."
Sentence: "Nurses wear certified personal protective equipment to care for patients with Coronavirus." in VerbAtlas 1.0 |
See also:
For those working at the intersection between #NLP and #COVID19 here is a possibly interesting venue:— Emilio Ferrara (@emilio__ferrara) April 4, 2020
NLP COVID-19 Workshop at ACL 2020 @aclmeeting https://t.co/hLFqljTVJC pic.twitter.com/0bOdcU0qBV