9 citations · 18 across the 2 of their papers we have counts for
3 papers · 1 filter
Understanding Multi-Head Attention in Abstractive Summarization
Joris Baan, Maartje ter Hoeve, Marlies van der Wees +2
Attention mechanisms in deep learning architectures have often been used as a means of transparency and, as such, to shed light on the inner workings of the architectures. Recently…
DpgMedia2019: A Dutch News Dataset for Partisanship Detection
Chia-Lun Yeh, Babak Loni, Mariëlle Hendriks +2
We present a new Dutch news dataset with labeled partisanship. The dataset contains more than 100K articles that are labeled on the publisher level and 776 articles that were crowd…
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
Joris Baan, Maartje ter Hoeve, Marlies van der Wees +2
Learning algorithms become more powerful, often at the cost of increased complexity. In response, the demand for algorithms to be transparent is growing. In NLP tasks, attention di…