Extracting Order-Sensitive Word-to-Word Relations Using a Hierarchical Bayes Model

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Rahimi Marziea; ZAHEDI MORTEZA; Mashayekhi Hoda

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Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:3 (93) Page(s): 1239-1246

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Information Journal Paper

Title

Extracting Order-Sensitive Word-to-Word Relations Using a Hierarchical Bayes Model

Author(s)

Rahimi Marziea | ZAHEDI MORTEZA | Mashayekhi Hoda | Issue Writer Certificate

Keywords

Hierarchical Bayes models

Gibbs sampling

graphical models

language models

Markov chain Monte Carlo

word-toword relationships

Abstract

In this paper, a hierarchical Bayes model is introduced which models local word relationships in a language. The model can be considered as a language model. The proposed model does not suffer from sparseness because it does not rely on the exact word orders. However, the model does not completely ignore the word orders. The proposed generative model assumes that each word is a distribution over words and the current word is generated from the distribution of one of its previous words located in a fixed-size window. Contrary to an n-gram model which is a distribution over word sequences and so takes the exact sequences of words into account, the proposed model considers ordered pairs of words which can occur at different distances in the subject text data. Because of this, the sparseness problem is not severe for the proposed model. The model is compared with and outperformed n-gram model according to its ability to model text data which is evaluated by perplexity.

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APA: Copy

Rahimi, Marziea, ZAHEDI, MORTEZA, & Mashayekhi, Hoda. (2020). Extracting Order-Sensitive Word-to-Word Relations Using a Hierarchical Bayes Model. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(3 (93) ), 1239-1246. SID. https://sid.ir/paper/962478/en

Vancouver: Copy

Rahimi Marziea, ZAHEDI MORTEZA, Mashayekhi Hoda. Extracting Order-Sensitive Word-to-Word Relations Using a Hierarchical Bayes Model. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(3 (93) ):1239-1246. Available from: https://sid.ir/paper/962478/en

IEEE: Copy

Marziea Rahimi, MORTEZA ZAHEDI, and Hoda Mashayekhi, “Extracting Order-Sensitive Word-to-Word Relations Using a Hierarchical Bayes Model,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 3 (93) , pp. 1239–1246, 2020, [Online]. Available: https://sid.ir/paper/962478/en

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