Analyzing Language Learned by an Active Question Answering Agent

Jannis Bulian
Jannis Bulian
Wojciech Gajewski
Wojciech Gajewski
Wei Wang
Wei Wang

arXiv: Computation and Language, Volume abs/1801.07537, 2017.

Cited by: 1|Views51
EI

Abstract:

We analyze the language learned by an agent trained with reinforcement learning as a component of the ActiveQA system [Buck et al., 2017]. In ActiveQA, question answering is framed as a reinforcement learning task in which an agent sits between the user and a black box question-answering system. The agent learns to reformulate the useru00...More

Code:

Data:

Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments