Here is what i find:
A modified implementation of the model described in Clarke and
Lapata, 2008, "Global Inference for Sentence Compression: An Integer
Linear Programming Approach".
Paper: https://www.jair.org/media/2433/live-2433-3731-jair.pdf
Source: https://github.com/cnap/sentence-compression (written in JAVA)
Input: At the camp , the rebel troops were welcomed with a banner that read 'Welcome home' .
Output: At camp , the troops were welcomed.
Update:
Sequence-to-Sequence with Attention Model for Text Summarization.
https://github.com/tensorflow/models/tree/master/textsum
https://arxiv.org/abs/1509.00685