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Gözde Gül Şahin - Automatic Learning of Procedural Language from Natural Language Instructions for Intelligent Assistance


A programmable personal assistant requires, at minimum, the ability to understand the procedural language to be able to follow and execute the instructions. This project aims to enable it by a) introducing robust and generalizable techniques to map natural language utterances to well-formed procedures, b) creating annotated corpora of complex instructions and procedures to foster research in understanding human-written procedures, c) developing suitable evaluation measures to assess progress in this novel research direction. Intern(s) will work on one of the three aforementioned problems. The details will be discussed later.