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09/13/2021
Traffic Event Detection as a Slot Filling Problem
In this paper, we introduce the new problem of extracting fine-grained t...
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03/16/2021
Learned Gradient Compression for Distributed Deep Learning
Training deep neural networks on large datasets containing high-dimensio...
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10/06/2020
Fact Extraction and VERification – The FEVER case: An Overview
Fact Extraction and VERification (FEVER) is a recently introduced task w...
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09/11/2020
Solving Math Word Problems by Scoring Equations with Recursive Neural Networks
Solving math word problems is a cornerstone task in assessing language u...
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08/28/2020
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
Graph convolutional neural networks (GCNNs) have received much attention...
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03/05/2020
Zero-Shot Cross-Lingual Transfer with Meta Learning
Learning what to share between tasks has been a topic of high importance...
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03/13/2019
Sub-event detection from Twitter streams as a sequence labeling problem
This paper introduces improved methods for sub-event detection in social...
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08/21/2018
Adversarial training for multi-context joint entity and relation extraction
Adversarial training (AT) is a regularization method that can be used to...
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04/20/2018
Joint entity recognition and relation extraction as a multi-head selection problem
State-of-the-art models for joint entity recognition and relation extrac...
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09/27/2017
