A Multi-modal Seq2seq Chatbot Framework

Snowbot: An empirical study of building chatbot using seq2seq model with different machine learning framework

Chatbot is a growing topic, we built a open domain generative chatbot using seq2seq model with different machine learning framework (Tensorflow, MXNet). Our result show although seq2seq is a successful method in neural machine translation, use it solely on single turn chatbot yield pretty unsatisfactory result. Also existing free dialog corpus lacks both quality and quantity. Our conclusion it’...

Octopus: A Multi Agent Chatbot

A Chatbot is a type of conversational agent or a computer program which has been designed to simulate an intelligent conversation with one or more human users via auditory or textual methods. Chatbots can be used as an exciting intelligent mechanism to interacting with computers. Undisputedly, Chatbots revolutionize the next generation of human-machine and machine-machine interaction in the con...

Exploiting Multi-Modal Interactions: A Unified Framework

Given an imagebase with tagged images, four types of tasks can be executed, i.e., content-based image retrieval, image annotation, text-based image retrieval, and query expansion. For any of these tasks the similarity on the concerned type of objects is essential. In this paper, we propose a framework to tackle these four tasks from a unified view. The essence of the framework is to estimate si...

A Multi-modal Sensing Framework for Human Activity Recognition

Robots for the elderly are a particular category of home assistive robots, helping people in the execution of daily life tasks to extend their independent life. Such robots should be able to determine the level of independence of the user and track its evolution over time, to adapt the assistance to the person capabilities and needs. We present an heterogeneous information management framework,...

Multi - Dimensional Modal Logi as a Framework for Spatio - Temporal