Title : ( Semantic Role Based Sentence Compression )
Authors: fatemeh pourgholamali , Mohsen Kahani ,
Full TextAbstract
In this paper, a new unsupervised sentence compression method is proposed. Sentences are tagged with Part Of Speech tags and semantic role labels. The proposed method relies on the semantic roles of sentences’ parts. Moreover, in the process of compression, other sentences in the context are taken into account. The approach is applied in the context of multi-document summarization. Experiments showed better results than other state of the art approaches.
Keywords
, Sentence Compression; Part Of Speech; Semantic Role; Multi, Document Summarization; ROUGE
@inproceedings{paperid:1031978,
author = {Pourgholamali, Fatemeh and Kahani, Mohsen},
title = {Semantic Role Based Sentence Compression},
booktitle = {2nd International eConference on Computer and Knowledge Engineering (ICCKE)},
year = {2012},
location = {Mashhad, IRAN},
keywords = {Sentence Compression; Part Of Speech; Semantic Role; Multi-Document Summarization; ROUGE},
}
%0 Conference Proceedings
%T Semantic Role Based Sentence Compression
%A Pourgholamali, Fatemeh
%A Kahani, Mohsen
%J 2nd International eConference on Computer and Knowledge Engineering (ICCKE)
%D 2012
