Meta-path Augmented Response Generation

11/02/2018
by   Yanran Li, et al.
0

We propose a chatbot, namely Mocha to make good use of relevant entities when generating responses. Augmented with meta-path information, Mocha is able to mention proper entities following the conversation flow.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/09/2018

Incorporating Relevant Knowledge in Context Modeling and Response Generation

To sustain engaging conversation, it is critical for chatbots to make go...
research
12/02/2019

Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks

Heterogeneous information network (HIN) has shown its power of modeling ...
research
11/10/2019

Conditional Response Generation Using Variational Alignment

Generating relevant/conditioned responses in dialog is challenging, and ...
research
08/12/2022

Building a Chatbot on a Closed Domain using RASA

In this study, we build a chatbot system in a closed domain with the RAS...
research
07/08/2023

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks

Heterogeneous Information Networks (HINs) are information networks with ...
research
06/14/2019

Neural Response Generation with Meta-Words

We present open domain response generation with meta-words. A meta-word ...
research
07/03/2022

ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes

Choosing optimal maskers for existing soundscapes to effect a desired pe...

Please sign up or login with your details

Forgot password? Click here to reset