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03/26/2021
Unsupervised Multi-Index Semantic Hashing
Semantic hashing represents documents as compact binary vectors (hash co...
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07/01/2020
Unsupervised Semantic Hashing with Pairwise Reconstruction
Semantic Hashing is a popular family of methods for efficient similarity...
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06/17/2020
Factuality Checking in News Headlines with Eye Tracking
We study whether it is possible to infer if a news headline is true or f...
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05/31/2020
Content-aware Neural Hashing for Cold-start Recommendation
Content-aware recommendation approaches are essential for providing mean...
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09/15/2019
Modelling End-of-Session Actions in Educational Systems
In this paper we consider the problem of modelling when students end the...
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08/21/2019
Tracking Behavioral Patterns among Students in an Online Educational System
Analysis of log data generated by online educational systems is an essen...
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06/04/2019
Investigating Writing Style Development in High School
In this paper we do the first large scale analysis of writing style deve...
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06/04/2019
Detecting Ghostwriters in High Schools
Students hiring ghostwriters to write their assignments is an increasing...
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06/03/2019
Contextually Propagated Term Weights for Document Representation
Word embeddings predict a word from its neighbours by learning small, de...
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06/03/2019
Unsupervised Neural Generative Semantic Hashing
Fast similarity search is a key component in large-scale information ret...
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03/20/2019
Neural Speed Reading with Structural-Jump-LSTM
Recurrent neural networks (RNNs) can model natural language by sequentia...
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03/20/2019
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Modelling sequential music skips provides streaming companies the abilit...
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03/20/2019
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking
Automatic fact-checking systems detect misinformation, such as fake news...
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08/14/2017
