2024-03-29T08:36:27Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00013218
2023-01-16T04:32:22Z
312:313:314
Sentence Compression by Removing Recursive Structure from Parse Tree
Egawa, Seiji
41760
Kato, Yoshihide
41761
Matsubara, Shigeki
41762
sentence compression
text summarization
phrase structure
recursive structure
maximum entropy method
Sentence compression is a task of generating a grammatical short sentence from an original sentence, retaining the most important information. The existing methods of removing the constituents in the parse tree of an original sentence cannot deal with recursive structures which appear in the parse tree. This paper proposes a method to remove such structure and generate a grammatical short sentence. Compression experiments have shown the method to provide an ability to sentence compression comparable to the existing methods and generate good compressed sentences for sentences including recursive structures, which the previous methods failed to compress.
PRICAI 2008: Trends in Artificial Intelligence 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings
journal article
Springer
2008-12-04
application/pdf
Lecture Notes in Computer Science
5351
115
127
http://dx.doi.org/10.1007/978-3-540-89197-0_14
http://hdl.handle.net/2237/15113
https://nagoya.repo.nii.ac.jp/record/13218/files/pricai-08.pdf
eng
https://doi.org/10.1007/978-3-540-89197-0_14
978-3-540-89196-3
The original publication is available at www.springerlink.com.