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Found 14 papers, 2 papers with code
Generalisation in Neural Networks Does not Require Feature Overlap
That shared features between train and test data are required for generalisation in artificial neural networks has been a common assumption of both proponents and critics of these models.
Priorless Recurrent Networks Learn Curiously
Recently, domain-general recurrent neural networks, without explicit linguistic inductive biases, have been shown to successfully reproduce a range of human language behaviours, such as accurately predicting number agreement between nouns and verbs.
Symmetry and Systematicity
We argue that symmetry is an important consideration in addressing the problem of systematicity and investigate two forms of symmetry relevant to symbolic processes.
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
In this paper we describe our 2nd place FEVER shared-task system that achieved a FEVER score of 62. 52{\%} on the provisional test set (without additional human evaluation), and 65. 41{\%} on the development set.
Jack the Reader -- A Machine Reading Framework
For example, in Question Answering, the supporting text can be newswire or Wikipedia articles; in Natural Language Inference, premises can be seen as the supporting text and hypotheses as questions.
Jack the Reader - A Machine Reading Framework
For example, in Question Answering, the supporting text can be newswire or Wikipedia articles; in Natural Language Inference, premises can be seen as the supporting text and hypotheses as questions.
Extrapolation in NLP
We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the training data.
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
Natural Language Inference is a challenging task that has received substantial attention, and state-of-the-art models now achieve impressive test set performance in the form of accuracy scores.
Reduce, Reuse, Recycle: New uses for old QA resources
We investigate applying repurposed generic QA data and models to a recently proposed relation extraction task.
The SUMMA Platform Prototype
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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