106 citations · 393 across the 52 of their papers we have counts for
9 papers · 1 filter
Encoding word order in complex embeddings
Benyou Wang, Donghao Zhao, Christina Lioma +3
Sequential word order is important when processing text. Currently, neural networks (NNs) address this by modeling word position using position embeddings. The problem is that posi…
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…
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…
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…
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…
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…
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings
Dongsheng Wang, Quichi Li, Lucas Chaves Lima +2
When the meaning of a phrase cannot be inferred from the individual meanings of its words (e.g., hot dog), that phrase is said to be non-compositional. Automatic compositionality d…