Hidden Markov tree models for semantic class induction

Hiding a Semantic Class Hierarchy in a Markov Model

This paper introduces a new model of selectional preference induction. Unlike previous approaches we provide a stochastic generation model for the words that appear as arguments of a predicate. More speciically, we deene a hidden Markov model with the general shape of our semantic class hierarchy and we use an EM-like algorithm for parameter estimation. This model enables us to handle word sens...

Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors

Generative probabilistic models have been used for content modelling and template induction, and are typically trained on small corpora in the target domain. In contrast, vector space models of distributional semantics are trained on large corpora, but are typically applied to domaingeneral lexical disambiguation tasks. We introduce Distributional Semantic Hidden Markov Models, a novel variant ...

Introducing Busy Customer Portfolio Using Hidden Markov Model

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words