Abstract:
Sentence compression is the task of compressing a long sentence into a short
one. It retains the important contents and in the meantime it generates grammatical
short sentences. This research proposed an improved semantic-based method to
investigate semantic role labels in sentence compression. Moreover, in the process of
compression, the approach is applied in Ziff–Davis dataset. It includes short sentences
as summary for a corresponding long ones. In the process of compression we proposed
to design what so called semantic patterns, so each sentence has been compressed in
three ways. To evaluate the result, we used Jaccard similarity to compare between our
approach and human short sentences on the Ziff–Davis dataset. The results showed that
our proposed semantic-based method is recommended to be used for sentence
compression.
