We present a supervised machine learning algorithm for metonymy resolution, which
exploits the similarity between examples of conventional metonymy. We show that syntactic …

For most English words dictionaries give various senses: eg,“bank” can stand for a financial
institution, shore, set, etc. Automatic selection of the sense intended in a given text has …

基于语块的处理方法是近年来自然语言处理领域兴起的一条新思路. 但是,
要将其应用于口语翻译当中, 还需按照口语特点对涉及双语的语块概念做出合理界定 …

We present a system for for computer-aided WSD mark-up of texts in Spanish. The system is
is based on Anaya dictionary, uses a Spanish morphological analyzer and a WSD method …

One of the most serious obstacles in research on word sense disambiguation (WSD) is
sparseness of training data. We describe and motivate a method of feature expansion as a …

The goal of Text Categorization is to classify documents into a certain number of predefined
categories. Text Categorization is an active research area in information retrieval and …

Quality machine translation (MT) as well as of some other applications (such as information
retrieval, IR) require word sense disambiguation (WSD) in the source text. However, WSD is …

Binnen de Universiteit van Tilburg is door de onderzoeksgroep ILK binnen de Faculteit der
Letteren onderzoek verricht naar de mogelijkheid om met behulp van een geannoteerd …

Despite over half a century of research and development, natural language processing
(NLP) technologies are still immature, and there are few practical applications. Although …