Update readme w/ intents and limitations etc

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on this [dataset](https://bitbucket.org/soegaard/aave-pos16/src/master/data) published alongside [Jørgensen et al. 2016](https://aclanthology.org/N16-1130.pdf).
+This model is a version of [bert-base-cased](https://huggingface.co/bert-base-cased) fine-tuned on a [dataset](https://bitbucket.org/soegaard/aave-pos16/src/master/data) of African American Vernacular English (AAVE) which was published alongside [Jørgensen et al. 2016](https://aclanthology.org/N16-1130.pdf).
 It achieves the following results on the evaluation set:
 - Loss: 0.2582
 - Precision: 0.8632
@@ -31,7 +31,7 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended to help close the gap in part-of-speech tagging performance between Standard American English (SAE) and African American English (AAVE) which differ liguistically in many [well-documented](http://www.johnrickford.com/portals/45/documents/papers/Rickford-1999e-Phonological-and-Grammatical-Features-of-AAVE.pdf) ways. It was fine-tuned on data gathered from Twitter, and does thus has ingrained what linguists refer to as 'register bias'. 
 
 ## Training and evaluation data