Abstract
This paper presents a novel approach to improve the interoperability between four semantic resources that incorporate predicate information. Our proposal defines a set of automatic methods for mapping the semantic knowledge included in WordNet, VerbNet, PropBank and FrameNet. We use advanced graph-based word sense disambiguation algorithms and corpus alignment methods to automatically establish the appropriate mappings among their lexical entries and roles. We study different settings for each method using SemLink as a gold-standard for evaluation. The results show that the new approach provides productive and reliable mappings. In fact, the mappings obtained automatically outnumber the set of original mappings in SemLink. Finally, we also present a new version of the Predicate Matrix, a lexical-semantic resource resulting from the integration of the mappings obtained by our automatic methods and SemLink.
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Notes
We obtain better results combining all sources of contexts than exploiting them separately.
The overall performance of the SRL obtains 85.50 % F1.
As explained before, to discover new alignments, it is possible to start from Step 1 or Step 2.
The overall perfomance of the SRL obtains 85.50 % F1.
Note that the Only-one strategy applied to obtain mappings between PropBank and FrameNet deals with lexical and role mappings.
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Acknowledgments
This work has been partially funded by TUNER (TIN2015-65308-C5-1-R), NewsReader (FP7-ICT-2011-8-316404), as well as the READERS project with the financial support of MINECO, ANR (convention ANR-12-CHRI-0004-03) and EPSRC (EP/K017845/1) in the framework of ERA-NET CHIST-ERA (UE FP7/2007-2013).
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Lopez de Lacalle, M., Laparra, E., Aldabe, I. et al. Predicate Matrix: automatically extending the semantic interoperability between predicate resources. Lang Resources & Evaluation 50, 263–289 (2016). https://doi.org/10.1007/s10579-016-9348-5
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DOI: https://doi.org/10.1007/s10579-016-9348-5