- Yes, you are totally right. TextRank is an extractive method. - Ah right. But we aren't storing any information on our servers, just showing selected sentences to the user. - We select the top 5 sentences which have the highest relevancy to the article. I am not an expert in this field so not too sure if that's the best way. Just started with NLP a few days back and wanted to test it out by developing a small application.
Yes, it works on quite a few articles and but also there are some articles where it fails to give accurate results.
Ah nice, I would like to hear more about what you are working on. Let me know if I could contribute to it in some way.
Thank you again for your feedback.
If this is in reference to the copyright comment, it doesn't matter -- you're still transmitting/redistributing the content, which is what matters. One way to get around this is to ship the code and have the code execute on the user's machine (i.e. what you're presumably doing with the extension).
Plus moving it to the client side would free up whatever resources they are currently using to feed summary info to us.
Edit: How about the backend just returns pointers to the text (word #x till word #y) and the js just (re)assembles it?
you're still transmitting/redistributing
the content
Parts of it. Google does the same in their search results. The user can even decide which parts, because they show you the part that contains the search term.So they provide a service that includes storing your content in it's entirety.
Has this ever been tested in court?
They are showing a small extract for context OR a summary specified by the publisher.
That’s completely legit and fair use.
Because there is plenty of precedent for this in available APIs and I've never heard of a case claiming this.
Though, just by copying & summarizing with your current implementation, there would be NO ONE to sue you, since you are just grabbing it and displaying it in the browser (sure, depending on the jurisdiction, one may rate this simple step already as some type of copyright issue)
In reality, this will not happen. (Except in North Korea ;-)
My comment regarding copyright was really about grabbing, summarizing and re-distributing it on another webpage, like a news aggregator.
I'm pretty sure this would be covered by fair use.
[1] https://www.theverge.com/platform/amp/2019/6/16/18681225/gen...
When you Google a newspaper article you get a verbatim snippet, same concept.
You don’t need any seed, and can generate summaries (section 3.6).
GPT-2 is the model to learn about if you’re interested in NLP.
i've some experience in this field:
- This is text-extraction, NOT text-generation - TextRank algorithm is so far fine, but it does not write a "summary", instead it ranks the components of a text according to some "metrics" (simply spoken)
- Using this approach will still make you attackable by copyright claims from copyright owners
- Which stuff is summarized ("put to the final output") is not always clear to me in your implementation, i tried it on some newspaper & blog articles; on some it worked well, on others it didn't.
Funny thing is, i'm currently working on something similar with a slightly different twist - i will post it here if finished, than we can go into a battle :-)