From dbfb7859ce3dce511e67ce0c57dfcd6063b35e9b Mon Sep 17 00:00:00 2001 From: Harshit Surana Date: Sun, 6 Sep 2020 04:27:10 +0530 Subject: [PATCH] Updating figures & descriptions for Ch 5 #23 --- Ch5/README.md | 35 +++++++++++++++++++++++++++++++++-- 1 file changed, 33 insertions(+), 2 deletions(-) diff --git a/Ch5/README.md b/Ch5/README.md index 61d752e..1f5bc21 100644 --- a/Ch5/README.md +++ b/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)