<p><a href="https://arxiv.org/abs/1506.06726" rel="nofollow noreferrer">Skip-thought vectors</a> are a system for predicting sentences from a context, by essentially constructing sentence-wide vectors. Might be useful, especially so in combination with context2vec if you want to build a custom model.</p>
What should I do first for NLP related task?
<p>I am a sort of newbie to NLP world.
But anyway, I have just started my NLP project.</p>

<p>My task is about inferring hidden sentence in a paragraph.
Let me show you an example question.</p>

<p><a href="https://i.stack.imgur.com/yOto1.png" rel="nofollow noreferrer">a multiple choice question about inferring a clause in the blank</a>
I want my machine learning model to extract some meaningful phrase from the given text(in above image, a paragraph)</p>

<p>I know that my question sounds quite ambiguous for you all. I just want to know even a small clue.</p>

<p>Thank you for your response in advance.</p>