Updating figures & descriptions for Ch 5 #23

Author: suranah

Ch5/README.md

@@ -1,12 +1,19 @@
 # Information Extraction
 
-Set of notebooks associated with Chapter 5 of the book.
+## 🔖 Outline
+
+To be added
+
+
+## 🗒️ Notebooks
+
+Set of notebooks associated with the chapter. 
 
 1. **[Key Phrase Extraction](https://github.com/practical-nlp/practical-nlp/blob/master/Ch5/01_KPE.ipynb)**: Here we demonstrate Key Phrase Extraction using textacy.
 
 2. **[NER using CRF](https://github.com/practical-nlp/practical-nlp/blob/master/Ch5/02_NERTraining.ipynb)**: Here we demonstrate how to perform NER using Conditional Random Fields.
 
-3. **[NER issues in spaCy](https://github.com/practical-nlp/practical-nlp/blob/master/Ch5/03_NERIssues.ipynb)**: Here we  illustrate some of the issues with existing NER model in spacy and its sensitivity to text structure.
+3. **[NER issues in spaCy](https://github.com/practical-nlp/practical-nlp/blob/master/Ch5/03_NERIssues.ipynb)**: Here we illustrate some of the issues with the existing NER model in spacy and its sensitivity to text structure.
 
 4. **[NER on CONLL using spaCy](https://github.com/practical-nlp/practical-nlp/blob/master/Ch5/04_NER_using_spaCy%20-%20CoNLL.ipynb)**: Here we demonstrate NER on the CONLL-NER dataset using spaCy.
 
@@ -18,3 +25,27 @@ Set of notebooks associated with Chapter 5 of the book.
 
 8. **[Duckling](https://github.com/practical-nlp/practical-nlp/blob/master/Ch5/08_Duckling.ipynb)**: Here we demonstrate Temporal IE using duckling.
 
+
+## 🖼️ Figures
+
+Color figures as requested by the readers. 
+
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-1.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-2.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-3.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-4.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-5.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-6.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-7.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-8.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-9.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-10.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-11.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-12.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-13.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-14.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-15.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-16.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-17.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-18.png)
+![figure](https://github.com/practical-nlp/practical-nlp-figures/raw/master/figures/5-19.png)