The goal of the project is to improve the syntactic parser of the Golem service robot1)2). The parsing module takes its imput from the Automatic Speech Recognition (ASR), which produces a text line to be parsed. The output of the parser is a SitLog command which triggers an action in the robot.
The goal of this module is to train a model with linguistic and Sitlog commands in order to generate Golem's speech act rules in prolog.
We will implement the deep learning model used in <ref>Amin Sleimi and Claire Gardent. Generating Paraphrases from DBPedia using Deep Learning. WebNLG 2016, The Second International Workshop on NLG and the Semantic Web, September 6 2016, Edinburgh (Scotland).</ref> in order to generate speech act Prolog rules for Golem.