CIKM 2019: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
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Updated
Nov 3, 2019 - Python
CIKM 2019: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Extracting character conversations in Genshin Project
HRED VHRED VHCR for Multi-Turn Dialogue Systems
Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues
NLPCC2018 sub-task 2 of task 5, we propose RCMN model for multi-turn response selection.
Pytorch实现STM(Spatio-Temporal Matching network)多轮对话算法
TASLP: Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Pytorch实现Sequential Matching Network(SMN)多轮对话算法
Python Package that enables Multi-Turn Conversations to use Long-Term Memory.
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