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04/10/2023
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging
This paper introduces Bayesian uncertainty modeling using Stochastic Wei...
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01/12/2022
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets
A central question in natural language understanding (NLU) research is w...
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04/10/2021
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance
Pre-trained neural language models give high performance on natural lang...
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08/06/2019
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
In this paper we introduce a new natural language processing dataset and...
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06/10/2019
The University of Helsinki submissions to the WMT19 news translation task
In this paper, we present the University of Helsinki submissions to the ...
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10/23/2018
Testing the Generalization Power of Neural Network Models Across NLI Benchmarks
Neural network models have been very successful for natural language inf...
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10/23/2018
Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference
Neural network models have been very successful for natural language inf...
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08/27/2018
