|
|
|
Title: Short Text Conversation using Big Data and Deep Learning
Speaker: Hang Li(Huawei)
Abstract: Human computer conversation is regarded as one of the most
difficult problems in artificial intelligence. In this talk, I will
address one of its main sub-problems, referred to as short text
conversation (STC), in which given a message from human, the
computer returns a reasonable response to the message. It is
anticipated that significant progress could be made in research on
the problem with the vast amount of STC data available on social
media. One simple approach to STC, at least at the first step, is to
formalize it as a search problem and employ state-of-the-art search
technologies to carry out the task. At Noah’s Ark Lab, we are
exactly taking the approach to build an STC system using big data
and machine learning. In the talk, I will specifically explain
methods for STC using deep neural network models, which we have
developed recently. |
|