Representing Caused Motion in Embodied Construction Grammar

TitleRepresenting Caused Motion in Embodied Construction Grammar
Publication TypeConference Paper
Year of Publication2014
AuthorsDodge, E., & Petruck M. R. L.
Page(s)39-44
Other Numbers3682
Abstract

This paper offers an Embodied Construc- tion Grammar (Feldman et al. 2010) representation of caused motion, thereby also providing (a sample of) the computational infrastructure for implementing the information that FrameNet has characterized as Caused_motion1 (Ruppenhofer et al. 2010). This work specifies the semantic structure of caused motion in natural language, using an Embodied Construction Grammar analyzer that includes the semantic parsing of linguistically instantiated constructions. Results from this type of analysis can serve as the input to NLP applications that require rich semantic representations.

Acknowledgment

This work was partially funded by the Office of Naval Research (ONR). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of ONR or of the U.S. Government.

URLhttps://www.icsi.berkeley.edu/pubs/ai/representingcaused14.pdf
Bibliographic Notes

Proceedings of the 2014 ACL Workshop on Semantic Parsing, Baltimore, Maryland, pp. 39-44

Abbreviated Authors

E. K. Dodge and M. R. L. Petruck

ICSI Research Group

AI

ICSI Publication Type

Article in conference proceedings