Assisting Discussion Forum Users using Deep Recurrent Neural Networks
Paper in proceeding, 2016

We present a discussion forum assistant based on deep recurrent neural networks (RNNs). The assistant is trained to perform three different tasks when faced with a question from a user. Firstly, to recommend related posts. Secondly, to recommend other users that might be able to help. Thirdly, it recommends other channels in the forum where people may discuss related topics. Our recurrent forum assistant is evaluated experimentally by prediction accuracy for the end--to--end trainable parts, as well as by performing an end-user study. We conclude that the model generalizes well, and is helpful for the users.

LSTM

rnn

virtual assistant

deep learning

recurrent neural networks

machine learning

Author

Jacob Suorra Hagstedt P

Chalmers, Computer Science and Engineering (Chalmers)

Olof Mogren

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Association for Computational Linguistics . Annual Meeting Conference Proceedings

0736-587X (ISSN)

Vol. 2016 2016 53-61
978-194562604-3 (ISBN)

Workshop on Representation Learning for NLP, Rep4NLP 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Berlin, Germany,

Areas of Advance

Information and Communication Technology

Subject Categories

Computer and Information Science

More information

Latest update

3/13/2023