[HN Gopher] Show HN: ARElight - A Mass-Media Processing Applicat...
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Show HN: ARElight - A Mass-Media Processing Application for
Relation Extraction
Author : nicolay-r
Score : 28 points
Date : 2022-06-18 12:59 UTC (1 days ago)
(HTM) web link (github.com)
(TXT) w3m dump (github.com)
| ethanwillis wrote:
| After looking at the BERT paper linked here
| https://github.com/nicolay-r/awesome-sentiment-attitude-extr...
| and at https://github.com/nicolay-r/AREkit
|
| I was able to fully understand the purpose. I can read enough of
| the language in the screenshots to get a basic idea before
| reading those, but most English speakers probably aren't even
| going to know what SShA is :).
|
| Here's what this project is from my understanding:
| 1. This is a web application/ui for the AREkit backend.
| 2. AREkit uses the DeepPavlov library to do entity tagging
| 3. AREkit also implements the "BERT" model which is a way to
| get sentiment relationships between two entities in some text.
|
| So overall the idea is being able to data mine not just overall
| sentiment in some text, but to get more granular and look at
| sentiment between entities within some text.
| nicolay-r wrote:
| Texts were mentioned as-it-is since for now we are lack of
| training data to reproduce the same model for English language.
|
| In terms of understanding list: 1. Yes it is.
| 2. Entity tagging model, based on DeepPavlov, is a part of
| ARElight, not AREkit. 3. AREkit implements and provides
| tools for BERT data preparation only; BERT-related service is a
| part of the ARElight.
|
| Overall idea and understanding is correct.
|
| In terms of the AREkit, the latter proposed as a data-
| preparation toolkit. However, at present, it additionally
| provides a Tensorflow-based neural networks zoo in, adopted for
| sentiment relation extraction task
| https://github.com/nicolay-r/AREkit/tree/0.22.0-rc/arekit/co...
| ethanwillis wrote:
| Got it! Thanks for the explanation/clarification.
| encryptluks2 wrote:
| It would be a lot more helpful since the site and documentation
| is in English, to have the screenshots in English. I actually
| find that despite the information available it still fails to
| describe what it is and does.
| rapnie wrote:
| I agree. A short summary and use cases might help. One can't
| quickly determine what this does, and how they may benefit.
| T-A wrote:
| This would probably be a better link:
|
| https://github.com/nicolay-r/AREkit
| ianai wrote:
| I read it, but this seems like the author went very terse
| instead of explanatory and linked a white paper. Seems
| maybe useful for someone already in the know but a little
| self limited by verbiage.
| nicolay-r wrote:
| It was decided not to provide this link since the its demo
| become a separated project, i.e. ARElight.
|
| Maybe it might be better to refer the particular demo from
| AREkit as well, so I will think about it.
| ninjin wrote:
| Nice to see that you are finding a use for the brat [1] frontend
| for the UI! Less nice that we did not get a cite in the paper
| [2]. '^^
|
| [1]: http://brat.nlplab.org
|
| [2]:
| https://nicolay-r.github.io/website/data/rusnachenko2021lang...
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(page generated 2022-06-19 23:02 UTC)