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01/11/2023
Topics in Contextualised Attention Embeddings
Contextualised word vectors obtained via pre-trained language models enc...
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01/14/2022
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures
Predicting contextualised engagement in videos is a long-standing proble...
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05/23/2021
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media
Twitter is currently a popular online social media platform which allows...
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07/05/2020
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia
The recent COVID-19 pandemic has caused unprecedented impact across the ...
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07/03/2020
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media
Social networks enable people to interact with one another by sharing in...
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11/14/2017
Modeling Semantic Relatedness using Global Relation Vectors
Word embedding models such as GloVe rely on co-occurrence statistics fro...
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08/21/2017
Probabilistic Relation Induction in Vector Space Embeddings
Word embeddings have been found to capture a surprisingly rich amount of...
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06/21/2017
Jointly Learning Word Embeddings and Latent Topics
Word embedding models such as Skip-gram learn a vector-space representat...
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02/18/2016