WSD дәлдігі

We present a novel almost-unsupervised approach to the task of Word Sense Dis- ambiguation (WSD). We build sense ex- amples automatically, using large quanti- ties of Chinese text, and English-Chinese …...

We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic posterior inference algorithm for simultaneously …...

Word Sense Disambiguation (WSD) of- ten relies on a context model or vector constructed from the words that co-occur with the target word within the same text windows. In most …...