152 citations · 285 across the 23 of their papers we have counts for
6 papers · 1 filter
Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
Christian Hansen
Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains. One example is systems that interact with users, log user actions a…
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
Lucas Chaves Lima, Casper Hansen, Christian Hansen +5
This report describes the participation of two Danish universities, University of Copenhagen and Aalborg University, in the international search engine competition on COVID-19 (the…
Contextually Propagated Term Weights for Document Representation
Casper Hansen, Christian Hansen, Stephen Alstrup +2
Word embeddings predict a word from its neighbours by learning small, dense embedding vectors. In practice, this prediction corresponds to a semantic score given to the predicted w…
Unsupervised Neural Generative Semantic Hashing
Casper Hansen, Christian Hansen, Jakob Grue Simonsen +2
Fast similarity search is a key component in large-scale information retrieval, where semantic hashing has become a popular strategy for representing documents as binary hash codes…
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Christian Hansen, Casper Hansen, Stephen Alstrup +2
Modelling sequential music skips provides streaming companies the ability to better understand the needs of the user base, resulting in a better user experience by reducing the nee…
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking
Casper Hansen, Christian Hansen, Stephen Alstrup +2
Automatic fact-checking systems detect misinformation, such as fake news, by (i) selecting check-worthy sentences for fact-checking, (ii) gathering related information to the sente…