1 code implementation • COLING 2022 • Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu
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.
no code implementations • 22 May 2023 • Xingxian Liu, Yajing Xu
Query-focused meeting summarization(QFMS) aims to generate a specific summary for the given query according to the meeting transcripts.
1 code implementation • 8 Mar 2023 • Xingxian Liu, Bin Duan, Bo Xiao, Yajing Xu
Previous works typically concatenate the query with meeting transcripts and implicitly model the query relevance only at the token level with attention mechanism.