Yiping Song

An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems

2018

Human-computer conversation systems have attracted much attention in Natural Language Processing. Conversation systems can be roughly divided into two categories: retrieval-based and generation-based systems. Retrieval systems search a user-issued utterance (namely a query ) in …

Sentiment-Aware Emoji Insertion Via Sequence Tagging

2021 · IEEE Multimedia

Due to the booming popularity of online social networks, emojis have been widely used in online communication. As nonverbal language units, emojis help to convey emotions and express feelings. In this article, we focus on …

Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System

2016

To establish an automatic conversation system between humans and computers is regarded as one of the most hardcore problems in computer science, which involves interdisciplinary techniques in information retrieval, natural language processing, artificial intelligence, etc. …

How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models

2017

Generative conversational systems are attracting increasing attention in natural language processing (NLP). Recently, researchers have noticed the importance of context information in dialog processing, and built various models to utilize context. However, there is no …

Sequence to Backward and Forward Sequences: A Content-Introducing\n Approach to Generative Short-Text Conversation

2016 · arXiv (Cornell University)

Using neural networks to generate replies in human-computer dialogue systems\nis attracting increasing attention over the past few years. However, the\nperformance is not satisfactory: the neural network tends to generate safe,\nuniversally relevant replies which carry little …