Word sense disambiguation with pattern learning and automatic feature selection

Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation

Pattern Learning and Active Feature Selection for Word Sense Disambiguation

We present here the main ideas of the algorithm employed in the SMUls and SMU aw systems. These systems have participated in the SENSEVAL-2 competition attaining the best performance for both English all words and English lexical sample tasks1. The algorithm has two main components (1) pattern learning from available sense tagged corpora (SemCor) and dictionary definitions (WordNet), and (2) in...

Theme: A Study of Classifier Combination and Semi-Supervised Learning for Word Sense Disambiguation

1. Aims Word Sense Disambiguation (WSD) involves the association of a polysemous word in a text or discourse with a particular sense among numerous potential senses of that word. In my thesis, we present a study of classifier combination and semi-supervised learning for WSD, which aim to boost supervised WSD and improve accuracy of WSD. In addition, we also work on context representation and fe...

CITYU-HIF: WSD with Human-Informed Feature Preference

This paper describes our word sense disambiguation (WSD) system participating in the SemEval-2007 tasks. The core system is a fully supervised system based on a Naïve Bayes classifier using multiple knowledge sources. Toward a larger goal of incorporating the intrinsic nature of individual target words in disambiguation, thus introducing a cognitive element in automatic WSD, we tried to fine-tu...

Disambiguation with Feature Selection and Semi - Supervised Learning ”

1. Objective Word Sense Disambiguation (WSD) is the task of determining the right sense of a polysemous word in a given context. This study aims to enhance the performance of supervised-based word sense determination by focusing on feature selection and using bootstrapping techniques. Senses determination of a word is essentially based on the information extracted from the context in which this...