May 3, 2023 · We propose a novel framework that leverages the power of ChatGPT for specific tasks, such as text classification, while improving its interpretability.
We propose a novel framework that leverages the power of ChatGPT for specific tasks, such as text classification, while improving its interpretability.
The proposed framework conducts a knowledge graph extraction task to extract refined and structural knowledge from the raw data using ChatGPT. The rich ...
PyTorch implementation for paper "ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs"
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Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs. Y Shi, H Ma, W Zhong, Q Tan, G Mai, X Li, T Liu, J Huang. 2023 IEEE ...
The proposed framework conducts a knowledge graph extraction task to extract refined and structural knowledge from the raw data using ChatGPT. The rich ...
May 2, 2024 · Finally, “ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs” first uses ChatGPT to make an unstructured ...
Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs ... Hierarchy-aware multi-hop question answering over knowledge graphs.
ChatGPT, as a recently launched large language model (LLM), has shown superior performance in various natural language processing (NLP) tasks.
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs [link]. Call for Paper. Data-Centric AI Workshop – DCAI@WWW'2024 ...