13 citations · 37 across the 5 of their papers we have counts for
5 papers
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
Samarth Bhargav, Anne Schuth, Claudia Hauff
We present a study of Tip-of-the-tongue (ToT) retrieval for music, where a searcher is trying to find an existing music entity, but is unable to succeed as they cannot accurately r…
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…
Faithfully Explaining Rankings in a News Recommender System
Maartje ter Hoeve, Anne Schuth, Daan Odijk +1
There is an increasing demand for algorithms to explain their outcomes. So far, there is no method that explains the rankings produced by a ranking algorithm. To address this gap w…