What's on in Computing Science?
Date: Thursday, 30 April, 2009
Sir Alwyn Williams Building, 422 Seminar Room
[ Inference Seminar ] Using Semantic Spaces to Improve Sentence Classification
In this talk I will present two semantic models: Hyperspace Analogue to
Language (HAL) and Bound Encoding of the Aggregate Language
Environment (BEAGLE). I will also show my recent work where I use
these models to improve protein interaction sentence classification. I
use the models to generate word-word co-occurrence matrices from a large
unlabelled data set. The matrices are then integrated into the kernel
created from a smaller labelled sentence corpus. The kernel is used to train a
Gaussian process (GP) classifier. I found that this procedure significantly increased
quality of sentence classification as measured by the F-score and the AUC.
These experiments, along with some future directions I would like to discuss
with you, will be a large part of my thesis.
Contact: Dr Rónán Daly (firstname.lastname@example.org)
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