Short-Text Conversation
8 papers with code • 0 benchmarks • 1 datasets
Given a short text, finding an appropriate response (Source: http://staff.ustc.edu.cn/~cheneh/paper_pdf/2013/HaoWang.pdf)
Benchmarks
These leaderboards are used to track progress in Short-Text Conversation
Libraries
Use these libraries to find Short-Text Conversation models and implementationsLatest papers
Predict and Use Latent Patterns for Short-Text Conversation
Many neural network models nowadays have achieved promising performances in Chit-chat settings.
A Large-Scale Chinese Short-Text Conversation Dataset
The cleaned dataset and the pre-training models will facilitate the research of short-text conversation modeling.
Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures
Thus, we have done a series of experiments by using traditional evaluation measures and analyze the performance and error.
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
We observe that in the conversation tasks, each query could have multiple responses, which forms a 1-to-n or m-to-n relationship in the view of the total corpus.
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
We present bot{\#}1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI).
Neural Responding Machine for Short-Text Conversation
We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation.
An Information Retrieval Approach to Short Text Conversation
Human computer conversation is regarded as one of the most difficult problems in artificial intelligence.