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VerbAtlas is a hand-crafted lexical-semantic resource whose goal is to bring together all verbal synsets from BabelNet into semantically-coherent frames. The frames define a common, prototypical argument structure while at the same time providing new concept-specific information. VerbAtlas comes with an explicit, cross-frame set of semantic roles linked to selectional preferences expressed in terms of BabelNet synsets, and is the first resource enriched with semantic information about implicit, shadow, and default arguments.

This website provides:

REFERENCES

Andrea di Fabio, Simone Conia, Roberto Navigli. VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling. Proc. of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, November 3-7, 2019.

The authors gratefully acknowledge the support of the ERC Consolidator Grant MOUSSE No. 726487 and the ELEXIS project No. 731015 under the European Union’s Horizon 2020 research and innovation programme.

IMPLICIT ARGUMENTS

Arguments implicit in the argument structure of the verb but not always syntactically expressed. Consider the synset {overleap, vault} in our JUMP frame: since its gloss is "Jump across or leap over (an obstacle)", we know that the Patient of this verb can be a hyponym of {obstacle}, therefore implying a selectional preference on the role with the {obstacle} synset.

SHADOW ARGUMENTS

Arguments incorporated in the meaning of the verb but not syntactically expressed. An example from the EAT-BITE frame is {eat in, dine in} ("Eat at home"). This synset is tagged with the shadow argument Location = {home}, since the latter is not expressed syntactically.

This project is funded by the MOUSSE ERC Grant no.726487 and the ELEXIS project no.731015 under the European Union's Horizon 2020 research and innovation programme.

VerbAtlas is licensed under the CC BY-NC-SA 4.0 License