Matteo Antonio Senese
Deep Learning for Session Aware Conversational Agents.
Rel. Maurizio Morisio, Giuseppe Rizzo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
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Abstract
In the last 2 years the state of NLP research has made a huge step forward. Since the release of ELMo, a new race for the leading scoreboards of all the main linguistic tasks has begun. Several models came out every 2 months achieving promising results in all the major NLP applications, from QA to text classification, passing through NER. These great research discoveries coincide with an increasing trend for voice and textual technologies in the customer care market. One of the next biggest challenge will be the handling of multi-turn conversations, a types of conversation which differs from single-turn by the presence of the concept of session.
A session is a set of related QA between the user and the agent to fulfill a single user request
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