Statistics-Based Summarization - Step One: Sentence Compression

@inproceedings{citeulike:110405, abstract = {When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one another, and that capture the most salient pieces of information in the original document. Given that large collections of text/abstract pairs are available online, it is now possible to envision algorithms that are trained to mimic this process. In this paper, we focus on sentence compression, a simpler...}, author = {Knight, Kevin and Marcu, Daniel }, booktitle = {AAAI/IAAI}, citeulike-article-id = {110405}, keywords = {sentence-compression, summarization}, pages = {703--710}, posted-at = {2005-11-21 10:23:50}, priority = {0}, title = {Statistics-Based Summarization - Step One: Sentence Compression}, url = {http://citeseer.ist.psu.edu/knight00statisticsbased.html}, year = {2000} }

TY - CONF ID - citeulike:110405 L3 - citeulike-article-id:110405 TI - Statistics-Based Summarization - Step One: Sentence Compression T2 - AAAI/IAAI SP - 703 EP - 710 N2 - When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one another, and that capture the most salient pieces of information in the original document. Given that large collections of text/abstract pairs are available online, it is now possible to envision algorithms that are trained to mimic this process. In this paper, we focus on sentence compression, a simpler... KW - sentence-compression KW - summarization AU - Knight, Kevin AU - Marcu, Daniel PY - 2000/// UR - http://citeseer.ist.psu.edu/knight00statisticsbased.html ER -