2 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
Amit Gajbhiye, Noura Al Moubayed, Steven Bradley
Neural language representation models such as BERT, pre-trained on large-scale unstructured corpora lack explicit grounding to real-world commonsense knowledge and are often unable…
Towards Equal Gender Representation in the Annotations of Toxic Language Detection
Elizabeth Excell, Noura Al Moubayed
Classifiers tend to propagate biases present in the data on which they are trained. Hence, it is important to understand how the demographic identities of the annotators of comment…
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed +1
We consider the task of incorporating real-world commonsense knowledge into deep Natural Language Inference (NLI) models. Existing external knowledge incorporation methods are limi…
An Exploration of Dropout with RNNs for Natural Language Inference
Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed +2
Dropout is a crucial regularization technique for the Recurrent Neural Network (RNN) models of Natural Language Inference (NLI). However, dropout has not been evaluated for the eff…
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder
Noura Al Moubayed, Toby Breckon, Peter Matthews +1
In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages. Our approach requires minimum features engineering and a…