EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development
نویسندگان
چکیده
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.
منابع مشابه
SemEval-2017 Task 11: End-User Development using Natural Language
This task proposes a challenge to support the interaction between users and applications, micro-services and software APIs using natural language. It aims to support the evaluation and evolution of the discussions surrounding the application natural language processing techniques within the context of end-user natural language programming, under scenarios of high lexical and semantic heterogene...
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تاریخ انتشار 2017