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Found 3 papers, 2 papers with code
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction
To mitigate the catastrophic forgetting issue, we design the consistency regularization loss to make better use of the pseudo-labels and jointly train the model with both unsupervised and supervised data.
Learning to Rank Utterances for Query-Focused Meeting Summarization
Query-focused meeting summarization(QFMS) aims to generate a specific summary for the given query according to the meeting transcripts.
Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization
Previous works typically concatenate the query with meeting transcripts and implicitly model the query relevance only at the token level with attention mechanism.
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