activity
20172021
most citedContent-aware Neural Hashing for Cold-start Recommendation

29 citations · 116 across the 16 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CL2019★ 9 cited

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

Isabelle Augenstein, Christina Lioma, Dongsheng Wang +4

We contribute the largest publicly available dataset of naturally occurring factual claims for the purpose of automatic claim verification. It is collected from 26 fact checking we…

cs.CY2019

Modelling End-of-Session Actions in Educational Systems

Christian Hansen, Casper Hansen, Stephen Alstrup +1

In this paper we consider the problem of modelling when students end their session in an online mathematics educational system. Being able to model this accurately will help us opt…

cs.IR2019

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…

cs.IR2019

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…

cs.CL2019★ 16 cited

Neural Speed Reading with Structural-Jump-LSTM

Christian Hansen, Casper Hansen, Stephen Alstrup +2

Recurrent neural networks (RNNs) can model natural language by sequentially 'reading' input tokens and outputting a distributed representation of each token. Due to the sequential…

cs.IR2019★ 7 cited

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…