Dabbling in Natural Language Processing
I am an intern on the technology discovery team at TurboTax. One of my recent assignments has been to research the field of natural language question and answering (NLQA) in order to see whether we can leverage existing technology to answer user questions and improve the level of customer support that Intuit provides to customers, while saving support staff hours.
We want to alleviate demand on support representatives by making a smarter system for fielding customer questions.
The goal is to build a system that takes as input a context-free natural language query. e.g. “Where is my W2?” and spits out an answer like “Your W2 should arrive by {{ Date }}. If you do not receive it by {{ AnotherDate }}, contact your employer.” Success is not necessarily being able to field every single question. However, it is the goal that what we build substantially alleviates the demand on support...