LightTag @LabeledData

The Ultimate Tool for Managing In-House Text Annotation. lighttag.io Joined April 2018

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Sean Gourley @sgourley

4 years ago

Great to see new NLP data sets being built with LightTag @LabeledData PrevComp is a labeled corpus for the identification of disease complications, underlying risk factors & prevention measures, for the interaction between between hypertension & diabetes journals.plos.org/plosone/articl…

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LightTag @LabeledData

4 years ago

👇

Sean Gourley @sgourley

4 years ago

👇

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LightTag @LabeledData

4 years ago

A few words from our founder, @thetalperry lighttag.io/blog/lighttag-…

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LightTag @LabeledData

4 years ago

We've joined @primer_ai

Primer @primer_ai

4 years ago

We've joined @primer_ai

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LightTag @LabeledData

4 years ago

We’ve been saying this for years

Yuval Kirstain @YKirstain

4 years ago

We’ve been saying this for years

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LightTag @LabeledData

4 years ago

How can we squeeze out every of goodness from labeled data ? Train on it's complement as well with COT. First proposed by @3F55bCEltngxKyq and team, it's a simple way to boost performance. Here's a primer and how to implement with @pytorchlightnin lighttag.io/blog/complemen…

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LightTag @LabeledData

4 years ago

If you love hyper graphs, language and have an incredibly high technical bar reach out to our friends at @codexeditor

Codex @codexeditor

4 years ago

If you love hyper graphs, language and have an incredibly high technical bar reach out to our friends at @codexeditor

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Codex @codexeditor

4 years ago

I have a Codex announcement: I'm looking for a technical co-founder to help accelerate development & to take Codex to the next level. Familiarity with graphs, full stack, modern JS & UI/UX highly regarded. Experience raising funding, also. Feel free to DM for more details.

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LightTag @LabeledData

4 years ago

Help us help you label more data faster. Check out this feature we're working on and share your ( constructive) feedback

Tal Perry @thetalperry

4 years ago

Help us help you label more data faster. Check out this feature we're working on and share your ( constructive) feedback

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LightTag @LabeledData

5 years ago

Tell me you ship NLP to production without telling me you ship NLP to production

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LightTag @LabeledData

5 years ago

We can make the annotation experience fast and efficient. We unfortunately don't do office furniture

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LightTag @LabeledData

5 years ago

What has 4 letters, sometimes has 9 letters, but never has 5 letters. That's not a question, read it again. It does show the trickiness of #NLP, sometimes the meaning of a word can change because of a missing question mark far away.

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LightTag @LabeledData

5 years ago

#NLP is everywhere, even in finance. This article describes five amazing applications of natural language processing in the financial domain. buff.ly/3s6AmvS

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LightTag @LabeledData

5 years ago

What's an easy way to make your #text processing and #NLP pipelines 10x faster ? Use algorithms from the 60's. In this classic article Russ Cox describes why regular expressions are slow and how with some common sense they can be fast buff.ly/39dCr0o

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LightTag @LabeledData

5 years ago

Can #NLP bring down the internet ? Turns out it can if done wrong. Regular expressions, a cornerstone of #text processing, can have subtle but profound performance bugs. One hit Cloudflare and brought down half the internet . Read more in their postmortem buff.ly/2SgCLT5

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LightTag @LabeledData

5 years ago

Everyone in #NLP talks about attention because of the amazing performance of #transformers. But are there other models that could be competitive ? A while back the team at Facebook AI published a paper on "dynamic convolutions" which run faster. buff.ly/3s7YpKH

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LightTag @LabeledData

5 years ago

#NLP is good at is #Syntax, figuring out the structure of a sentence. That's pretty useful, we can use syntax to search for structure in text. The team at AllenAI have built a system that figures out the structure you were searching for, with #AI. buff.ly/2JVdsGp

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LightTag @LabeledData

5 years ago

How can you choose the right named entity recognition model for your use case ? With so many options in the #OpenSource #NLP world, it can be overwhelming to figure out which one is right for you. Read our article showing how you LightTag can help buff.ly/3rYqMLk

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LightTag @LabeledData

5 years ago

Human in the loop is one of the most powerful ideas in #AI and #MachineLearning, making our models and our humans more effective. Find out when and how you can use human in the loop to drive your #NLP efforts. buff.ly/3pZb8gX

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LightTag @LabeledData

5 years ago

#ActiveLearning uses AI to train #AI. Instead of labeling all of our data, we ask our AI what is the highest value data to label, cutting costs and saving time. But Active Learning has some pitfalls that you should know before using it. buff.ly/3bejGfU