Semantic hashing represents documents as compact binary vectors (hash co...
Semantic Hashing is a popular family of methods for efficient similarity...
We study whether it is possible to infer if a news headline is true or f...
Content-aware recommendation approaches are essential for providing
mean...
In this paper we consider the problem of modelling when students end the...
Analysis of log data generated by online educational systems is an essen...
In this paper we do the first large scale analysis of writing style
deve...
Students hiring ghostwriters to write their assignments is an increasing...
Word embeddings predict a word from its neighbours by learning small, de...
Fast similarity search is a key component in large-scale information
ret...
Recurrent neural networks (RNNs) can model natural language by sequentia...
Modelling sequential music skips provides streaming companies the abilit...
Automatic fact-checking systems detect misinformation, such as fake news...
The analysis of log data generated by online educational systems is an
i...