<p>Here is what i find:</p>

<p>A modified implementation of the model described in Clarke and 
Lapata, 2008, "Global Inference for Sentence Compression: An Integer 
Linear Programming Approach".</p>

<p>Paper: <a href="https://www.jair.org/media/2433/live-2433-3731-jair.pdf" rel="nofollow">https://www.jair.org/media/2433/live-2433-3731-jair.pdf</a></p>

<p>Source: <a href="https://github.com/cnap/sentence-compression" rel="nofollow">https://github.com/cnap/sentence-compression</a> (written in JAVA)</p>

<p><em>Input: At the camp , the rebel troops were welcomed with a banner that read 'Welcome home' .</em></p>

<p><em>Output: At camp , the troops were welcomed.</em></p>

<p><strong>Update:</strong>
Sequence-to-Sequence with Attention Model for Text Summarization.</p>

<p><a href="https://github.com/tensorflow/models/tree/master/textsum" rel="nofollow">https://github.com/tensorflow/models/tree/master/textsum</a></p>

<p><a href="https://arxiv.org/abs/1509.00685" rel="nofollow">https://arxiv.org/abs/1509.00685</a></p>
Sentence compression using NLP
<p>Using Machine translation, can I obtain a very compressed version of a sentence,
eg. <strong>I would really like to have a delicious tasty cup of coffee</strong> would be translated to <strong>I want coffee</strong>
Does any of the NLP engines provide such a functionality?</p>

<p>I got a few research papers that does <a href="http://www.mitpressjournals.org/doi/pdfplus/10.1162/coli_a_00002" rel="noreferrer">paraphase generation</a> and <a href="http://www.cs.jhu.edu/~ccb/publications/learning-sentential-paraphrases-from-bilingual-parallel-corpora.pdf" rel="noreferrer">sentence compression</a>. But is there any library which has already implemented this?</p>