120 citations · 469 across the 55 of their papers we have counts for
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Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies
Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel
In this paper we present a novel Neural Network algorithm for conducting semi-supervised learning for sequence labeling tasks arranged in a linguistically motivated hierarchy. This…
Learning to Reason With Adaptive Computation
Mark Neumann, Pontus Stenetorp, Sebastian Riedel
Multi-hop inference is necessary for machine learning systems to successfully solve tasks such as Recognising Textual Entailment and Machine Reading. In this work, we demonstrate t…
Neural Architectures for Fine-grained Entity Type Classification
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui +1
In this work, we investigate several neural network architectures for fine-grained entity type classification. Particularly, we consider extensions to a recently proposed attentive…
An Attentive Neural Architecture for Fine-grained Entity Type Classification
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui +1
In this work we propose a novel attention-based neural network model for the task of fine-grained entity type classification that unlike previously proposed models recursively comp…