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 implementations
LCCC
Most implemented papers
Neural Responding Machine for Short-Text Conversation
thu-coai/CDial-GPT
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IJCNLP 2015
We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation.
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.
An Information Retrieval Approach to Short Text Conversation
Human computer conversation is regarded as one of the most difficult problems in artificial intelligence.
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
sld/convai-bot-1337
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COLING 2018
We present bot{\#}1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI).
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.
Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures
SeanCherngTW/NTCIR-STC3-NDDQsubtask
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Thus, we have done a series of experiments by using traditional evaluation measures and analyze the performance and error.
Predict and Use Latent Patterns for Short-Text Conversation
timchen0618/predict-and-use-latent-patterns-for-short-text-conversation
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Many neural network models nowadays have achieved promising performances in Chit-chat settings.
