Update README.md

Hellisotherpeople · web-flow · commit 704385f57403 · 2019-08-07T06:47:02.000Z
diff --git a/README.md b/README.md
@@ -7,7 +7,7 @@ One component of my vision of FULLY AUTOMATED competative debate case production
 
 
 1. We need a way to quickly create word embedding powered document classifiers which learn with a human in the loop. For some classes, an extremely limited number of examples may be all that is necessary to get results that a user would consider to be succesful for their task. 
-2. I want to know what my model is learning - so I integrate the word embeddings avalible with Flair, combine with Classifiers in Sklearn and PyTorch, and finish it off with the LIME algorithim for model interpretability (implemented within the ELI5 Library)
+2. I want to know what my model is learning - so I integrate the word embeddings avalible with [Flair](https://github.com/zalandoresearch/flair), combine with Classifiers in Sklearn and PyTorch, and finish it off with the [LIME](https://arxiv.org/pdf/1602.04938.pdf) algorithim for model interpretability (implemented within the [ELI5](https://eli5.readthedocs.io/en/latest/index.html) Library)
 
 
 

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`@@ -7,7 +7,7 @@ One component of my vision of FULLY AUTOMATED competative debate case production`
`7`	`7`
`8`	`8`
`9`	`9`	`1. We need a way to quickly create word embedding powered document classifiers which learn with a human in the loop. For some classes, an extremely limited number of examples may be all that is necessary to get results that a user would consider to be succesful for their task.`
`10`		`-2. I want to know what my model is learning - so I integrate the word embeddings avalible with Flair, combine with Classifiers in Sklearn and PyTorch, and finish it off with the LIME algorithim for model interpretability (implemented within the ELI5 Library)`
	`10`	`+2. I want to know what my model is learning - so I integrate the word embeddings avalible with [Flair](https://github.com/zalandoresearch/flair), combine with Classifiers in Sklearn and PyTorch, and finish it off with the [LIME](https://arxiv.org/pdf/1602.04938.pdf) algorithim for model interpretability (implemented within the [ELI5](https://eli5.readthedocs.io/en/latest/index.html) Library)`
`11`	`11`
`12`	`12`
`13`	`13`