Modeling action as an important topic in robotics and human-computer communication assumes by default examining a large set of actions as described by natural language. We offer a procedure on how to extract actions fromWordNet. It is based on the analysis of the whole set of verbs and includes 5 steps for implementation. The result is not just a set of extracted actions but a hierarchical structure. In the second part of the article, we describe how an action hierarchy can give an additional benefit in a representation of actions, in particular how it can improve an action representation through semantic roles.
@InProceedings{HUMINSKI18.3, author = {Aliaksandr Huminski and Hao Zhang}, title = {Action Hierarchy Extraction and its Application}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {James Pustejovsky and Ielka van der Sluis}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-06-1 }, language = {english} }
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