Semantic question-answering systems for customer service automation

Recent advances in applications of deep learning in natural language processing has provided potential opportunities in building robust information retrieval and conversational models that require far less hand-crafted features for understanding the intent of queries and ultimately building question-answering systems. In particular, there has been several advances in factoid question-answering systems and some recent attempts to moving beyond factoid questions. The focus of this project is to build various retrieval and conversational models based on deep learning techniques using the real customer service conversation corpora available. The industry partner, Aida Software, has access to several data sets of customer conversations and will provide expert industry advice and resources for the project. TO BE CONT’D

Faculty Supervisor:

Anoop Sarkar

Student:

Andrei Vacariu

Partner:

Aida Software Corp

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Simon Fraser University