Headline generation based on statistical translation

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Abstract

Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would understand each document and generate an appropriate summary directly from the results of that understanding. A more practical approach to this problem results in the use of an approximation: viewing summarization as a problem analogous to statistical machine translation.

@misc{citeulike:419975, abstract = {Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would understand each document and generate an appropriate summary directly from the results of that understanding. A more practical approach to this problem results in the use of an approximation: viewing summarization as a problem analogous to statistical machine translation.}, author = {Banko, M. and Mittal, V. and Witbrock, M. }, citeulike-article-id = {419975}, keywords = {headline, summarization}, posted-at = {2005-12-02 18:03:17}, priority = {0}, title = {Headline generation based on statistical translation}, url = {http://citeseer.ist.psu.edu/543346.html} }

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TY - GEN ID - citeulike:419975 L3 - citeulike-article-id:419975 TI - Headline generation based on statistical translation N2 - Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would understand each document and generate an appropriate summary directly from the results of that understanding. A more practical approach to this problem results in the use of an approximation: viewing summarization as a problem analogous to statistical machine translation. KW - headline KW - summarization AU - Banko, M AU - Mittal, V AU - Witbrock, M UR - http://citeseer.ist.psu.edu/543346.html ER -

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