In this paper, we propose an automatic text classification method based on word sense disambiguation. We use “hood” algorithm to remove the word ambiguity so that each word is replaced by its sense in the context. The nearest ancestors of the senses of all the non-stopwords in a give document are selected as the classes for the given document. We apply our algorithm to Brown Corpus. The effecti...

This work develops a new statistical understanding of word embeddings induced from transformed count data. Using the class of hidden Markov models (HMMs) underlying Brown clustering as a generative model, we demonstrate how canonical correlation analysis (CCA) and certain count transformations permit efficient and effective recovery of model parameters with lexical semantics. We further show in...

In this Quick Guide, Steven Buck explains how, uniquely among the bright primary perceptual hues, yellow changes its hue when it appears dark, becoming the colour brown.

Senior Honors Thesis 2 Acknowledgements I would like to thank Dr. Brown for giving me the opportunity to conduct research in his lab, awarding me with financial support, and providing with me his time, invaluable guidance, and encouragement. I would also like to thank Paula Monsma for her time and patience in teaching me instrumental lab techniques. Additionally, I would like to thank all of th...

This study concerns the distribution of cholinesterases in human skin. Previous work on this subject was published last year by Hurley, Shelley and Koelle (1) These authors used a method originated by Koelle (2, 3). In Koelle's method, acetyithiocholine and butyryithiocholine are used as substrates. It is assumed that acetyithiocholine is split by specific acetyicholinesterase as well as by non...