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Jonathan Ramkissoon 2021-07-08 14:46:01 -04:00 committed by R. Tyler Croy
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_posts/2021-07-08-identifying-document-types-at-scribd.md
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@ -5,7 +5,7 @@ tags:
- machinelearning
- data
team: Data Science
author: jramkiss
author: jonathanr
---
@ -30,7 +30,7 @@ Our approach to this challenge was twofold. Firstly, talking to subject matter e
<cetner>
<figure>
<img width="996" alt="Map of the document corpus, built from user-interaction embeddings" src="https://user-images.githubusercontent.com/9146894/124963194-8534b800-dfed-11eb-81e1-c68cf6e4498c.png">
<figcaption> Figure 2: Map of the document corpus built from user-interaction embeddings </figcaption>
<figcaption> Figure 1: Map of the document corpus built from user-interaction embeddings. More on this method in a future post. </figcaption>
</figure>
</cetner>
@ -49,8 +49,8 @@ Before the model training started, we faced an interesting data gathering proble
<cetner>
<figure>
<img width="996" alt="3 pages from the same document" src="https://user-images.githubusercontent.com/9146894/124964050-8adecd80-dfee-11eb-83fb-a3afbde1fc14.png">
<figcaption> Fig 3: 3 pages from the same document. </figcaption>
<img width="996" alt="Three pages from the same document" src="https://user-images.githubusercontent.com/9146894/124964050-8adecd80-dfee-11eb-83fb-a3afbde1fc14.png">
<figcaption> Figure 2: Three different pages from the same document to demonstrate why we can't take the document label and assign it to each page. </figcaption>
</figure>
</cetner>
@ -63,7 +63,7 @@ To circumvent this challenge, we took an active learning approach to data gather
<cetner>
<figure>
<img width="662" alt="Example of possible sheet music misclassification from wrong inductive bias" src="https://user-images.githubusercontent.com/9146894/124964644-40118580-dfef-11eb-8d24-d6e0a6460ca9.png">
<figcaption> Fig 4: Example of possible sheet music misclassification due to wrong inductive biases. </figcaption>
<figcaption> Figure 3: Example of possible sheet music misclassification due to wrong inductive biases. </figcaption>
</figure>
</cetner>
@ -79,8 +79,8 @@ We found SqueezeNet, a relatively established lightweight architecture, to be th
<cetner>
<figure>
<img width="450" alt="Figure 5: SqueezeNet architectures taken from the paper. Left: SqueezeNet; Middle: SqueezeNet with simple bypass; Right: SqueezeNet with complex bypass." src="https://user-images.githubusercontent.com/9146894/124964923-91217980-dfef-11eb-9553-13bf296ced10.png">
<figcaption> Figure 5: SqueezeNet architectures taken from the paper. Left: SqueezeNet; Middle: SqueezeNet with simple bypass; Right: SqueezeNet with complex bypass. </figcaption>
<img width="450" alt="Figure 4: SqueezeNet architectures taken from the paper. Left: SqueezeNet; Middle: SqueezeNet with simple bypass; Right: SqueezeNet with complex bypass." src="https://user-images.githubusercontent.com/9146894/124964923-91217980-dfef-11eb-9553-13bf296ced10.png">
<figcaption> Figure 4: SqueezeNet architectures taken from the paper. Left: SqueezeNet; Middle: SqueezeNet with simple bypass; Right: SqueezeNet with complex bypass. </figcaption>
</figure>
</cetner>
@ -103,11 +103,10 @@ While there are different ways of dealing with this, our approach involved two s
### Where do we go from here?
<cetner>
<figure>
<img width="529" alt="Figure 6: Diagram of the overall document understanding system. The red box is what we talked about in this post" src="https://user-images.githubusercontent.com/9146894/124965219-da71c900-dfef-11eb-9d12-4bf9a9772f4c.png">
<figcaption> Figure 6: Diagram of the overall document understanding system. The red box is what we talked about in this post </figcaption>
<img width="400" alt="Figure 5: Diagram of the overall document understanding system. The red box is what we talked about in this post" src="https://user-images.githubusercontent.com/9146894/124965219-da71c900-dfef-11eb-9d12-4bf9a9772f4c.png">
<figcaption> Figure 5: Diagram of the overall document understanding system. The red box is what we talked about in this post </figcaption>
</figure>
</cetner>