EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development

Marek Kubis, Paweł Skórzewski, Tomasz Ziętkiewicz

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.
Anthology ID:
S17-2175
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1000–1004
Language:
URL:
https://aclanthology.org/S17-2175
DOI:
10.18653/v1/S17-2175
Bibkey:
Cite (ACL):
Marek Kubis, Paweł Skórzewski, and Tomasz Ziętkiewicz. 2017. EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 1000–1004, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development (Kubis et al., SemEval 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/S17-2175.pdf
PDF Search