Abstract
The paper describes a system for end-user development using natural language. Our approach uses a ranking model to identify the actions to be executed followed by reference and parameter matching models to select parameter values that should be set for the given commands. We discuss the results of evaluation and possible improvements for future work.
Cite
CITATION STYLE
Kubis, M., Skórzewski, P., & Zietkiewicz, T. (2017). EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 1000–1004). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/S17-2175
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