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Found 3 papers, 1 papers with code
Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density Estimation
The Document Set Expansion (DSE) task involves identifying relevant documents from large collections based on a limited set of example documents.
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System
The natural language understanding capability has always been a barrier to the intent recognition performance of the Knowledge-Based-Question-and-Answer (KBQA) system, which arises from linguistic diversity and the newly appeared intent.
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach
Previous work shows that PU learning is a promising method for this task.
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