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Perhaps from https://graphics.stanford.edu/~mdfisher/DominionAI.html
Maybe try an engine AI
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We currently provide IIIF manifests for v2 at the same URL as the v3 ones. v2 is set by default and v3 can be requested using content negotiation. It would be great if we could use this service and ei…
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I was running an nlp server for most ssplit and some time sentiment analyze service in CentOS7, 64G with xmx&xms 60g
as I need to afford both Chinese end English analysis at the same time, the conf…
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https://web.stanford.edu/~cantwell/AA284A_Course_Material/AA284A_Resources/Camberos%20and%20Moubry,%20Chemical%20Equilibrium%20Analysis%20with%20the%20Method%20of%20Element%20Potentials%202001-0873.pd…
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Related previous discussion in #936, #545, #546, and #547.
Potentially relevant example objects:
- https://exhibits.stanford.edu/cathy-test-exhibit/catalog/yr455dn2133
- https://exhibits.stanfor…
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I'm the co-creator of HyperQuest at Stanford.
I just want to applaud you for the beautiful design. The website looks amazing. Great job!
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Stanford's NER has two variants:
a) 3 Class -- Per, org, loc.
b) 7 Class -- Per, org, loc + time, date, money and percent.
3 Class NER has over 80% accuracy, whereas 7 class has only 60% accuracy o…
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- Word2vec
- GloVe: Global Vectors for Word Representation - https://nlp.stanford.edu/projects/glove/
Find out on google - `text similarity python`
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Since there are multiple algorithms for operating NMF in https://ai.stanford.edu/~marinka/nimfa/ it would be good to do a speed and accuracy test.
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Does anyone know how to generate **.ner.json** files?
I still don't understand how to generate the files after looking that example.
I don't know how to obtain the "casetype".
And the results I …
FU626 updated
6 months ago