Code for Li Zhou, Kevin Small. Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. In NeurIPS 2019 Workshop on Conversational AI
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Updated
Aug 21, 2020 - Python
Code for Li Zhou, Kevin Small. Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. In NeurIPS 2019 Workshop on Conversational AI
This is a work-in-progress repository for a deep learning based moderator agent for critical discourse in discussion forums.
Graph neural networks (GNNs) with conversation graphs in improving dialogue management. Subgraphs and neighbourhoods study on dialogue history. In cooperation with Huawei Noah's Ark Lab (London).
一个基于 Google Gemini API 和语义嵌入构建的实验性交互式对话管理与可视化系统。
Robotic applications using the Robot Operating System (ROS)
Unified intelligent dialogue platform is an real dialogue product, which will be contain the whole parts of dialogue system,task/QA/chat.
Conversational Chatbot for Restaurant Search
Python NLP chatbot for train ticket booking and journey planning, featuring intent recognition, dialogue management, and evaluation.
💬 Deterministic rule-based customer service chatbot — zero-latency, 100% predictable, production-ready | Python
LLM-driven pipeline for dialogue segmentation and episodic memory construction from transcripts.
A hybrid Cricket Question Answering and Dialogue Management System that combines TF-IDF information retrieval, local extractive QA using MiniLM-SQuAD2, structured knowledge-base querying with Pandas, and dialogue management in an interactive Streamlit chatbot.
Context-aware Conversational AI platform featuring modular NLP pipelines (spaCy), finite-state dialogue tracking, sliding-window context memory, and Hugging Face LLM inference.
simple python implementation of the voicemail problem which is a toy problem that can be solved via reinforcement learning
Dialogue runtime for a voice agent: policy as a transition table, barge-in that never resumes, per-stage latency budget at p95, line capacity, speakable-reply guardrails. Dependency-free, no vendor calls.
LLM-powered travel planning assistant using prompt engineering, dialogue management, and personalized itinerary generation.
3 months of mind crunching exercise
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