MozerWang/DEMO
[ACL 2025 (Findings)] DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
This project helps AI researchers and developers working on conversational AI to improve how dialogue systems understand and generate human-like conversations. It takes dialogue transcripts as input and provides an analysis of the fine-grained elements within the conversation, such as intentions, topics, and discourse acts, allowing for more nuanced and goal-directed dialogue agent interactions. This is specifically for those building or evaluating advanced dialogue agents and large language models.
No commits in the last 6 months.
Use this if you are a researcher or developer focused on building or evaluating sophisticated conversational AI models that need to understand and interact with dialogue elements at a deep, structured level.
Not ideal if you are looking for an out-of-the-box chatbot solution or a simple API for general natural language processing tasks without a focus on dialogue element modeling.
Stars
22
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 16, 2024
Commits (30d)
0
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