The Berkeley Document Summarizer: Learning-Based, Single-Document Summarization

Anyone else work with NLP but unlikely to try this tool simply because it&#x27;s in Java?<p>Do any Python NLP engineers integrate Java tools in their setup, e.g. via Jython? How does that work for you?

would be cool if projects like these could show some examples of what they are capable of ... What results i should expect.

I wonder how it compares to the reddit summarizer bot which is absolutely amazing. It frequently is most upvoted comment on long news articles.

How does it compare with the summarizer in Microsoft Word (removed around 2010)?

I personally like context-controllable summarization <a href="http:&#x2F;&#x2F;www.lexcognition.com&#x2F;summarai&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.lexcognition.com&#x2F;summarai&#x2F;</a>

So how does this compare to the stuff Google was doing with document summarization? Is the content unique, meaning does it summarize using brand new words?<p>It&#x27;s unclear but still seems Really promising.

I like this approach, its interesting to see that coherence factoring into the summation amongst other things.

Could HN run this automatically on every post? That would be cool :)

Does anyone have an example of a summary done with this library?

Here&#x27;s some competition: <a href="http:&#x2F;&#x2F;sumve.com&#x2F;slack&#x2F;sumbot&#x2F;sumbot11.html" rel="nofollow">http:&#x2F;&#x2F;sumve.com&#x2F;slack&#x2F;sumbot&#x2F;sumbot11.html</a>

Hey, this is the guy whose dissertation talk I went to several months ago, which is on the same topic!