Search Results for author:
Found 6 papers, 2 papers with code
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
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 recall important identifying information.
Understanding Multi-Head Attention in Abstractive Summarization
Finally, we find that relative positions heads seem integral to summarization performance and persistently remain after pruning.
DpgMedia2019: A Dutch News Dataset for Partisanship Detection
We present a new Dutch news dataset with labeled partisanship.
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
We investigate whether distributions calculated by different attention heads in a transformer architecture can be used to improve transparency in the task of abstractive summarization.
Tom Jumbo-Grumbo at SemEval-2019 Task 4: Hyperpartisan News Detection with GloVe vectors and SVM
In this paper, we describe our attempt to learn bias from news articles.
Faithfully Explaining Rankings in a News Recommender System
There is an increasing demand for algorithms to explain their outcomes.
