[PDF][PDF] Bayesian learning in text summarization
T Nomoto - … of Human Language Technology Conference and …, 2005 - aclanthology.org
Proceedings of Human Language Technology Conference and Conference on …, 2005•aclanthology.org
The paper presents a Bayesian model for text summarization, which explicitly encodes and
exploits information on how human judgments are distributed over the text. Comparison is
made against non Bayesian summarizers, using test data from Japanese news texts. It is
found that the Bayesian approach generally leverages performance of a summarizer, at
times giving it a significant lead over non-Bayesian models.
exploits information on how human judgments are distributed over the text. Comparison is
made against non Bayesian summarizers, using test data from Japanese news texts. It is
found that the Bayesian approach generally leverages performance of a summarizer, at
times giving it a significant lead over non-Bayesian models.
Abstract
The paper presents a Bayesian model for text summarization, which explicitly encodes and exploits information on how human judgments are distributed over the text. Comparison is made against non Bayesian summarizers, using test data from Japanese news texts. It is found that the Bayesian approach generally leverages performance of a summarizer, at times giving it a significant lead over non-Bayesian models.
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