python-tutorial-basics

This repo contains python tutorials for basic text processing in Python, including standard NLP pipelines with Stanford CoreNLP and Spacy. All the notebooks were written in Google Colab. This is meant to be an introductory course for people with no prior knowledge of Python. Although, some basic coding background could be useful.

This tutorial is organized by FACTS.lab (http://factslab.io/)

Instructor: Siddharth Vashishtha

The topics covered are listed below:

Tuorial 1 (Date: 9 Sep, 2019)

Google Colab Link: https://bit.ly/2kDLgv9 (Both 1 and 2)

Topics

• Basic datatypes and operations in Python
• If-else statements
• Loops

Tutorial 2 (Date: 11 Sep, 2019)

Topics

• List comprehensions
• Defining Functions
• Regular expressions (regex)

Tutorial 3 (Date: 13 Sep, 2019)

Google Colab Link: https://bit.ly/2kvyvms

Topics

• Review tokenization issues
• Tokenization, Sentence separation (corenlp, spacy)
• Lemmatization (corenlp, spacy)
• Reading corpuses
• Plotting unigram counts
• Zipfian distribution

Tutorial 4 (Date: 16 Sep, 2019)

Google Colab Link: https://bit.ly/2mi0KW7

Topics

• Google ngram viewer
• Constituency Parsers
• Dependency Parsers
• Tree searching

Tutorial 5 (Date: 18 Sep, 2019)

Google Colab Link: https://bit.ly/2lUP3EK

Topics

• Semantic Role Labelling
• PropBank, FrameNet
• PredPatt
• Semantic Parsers
• Other tasks: WSD, Coreference resolution

Timings: 6.00 PM - 7.30 PM
Venue: Genesee 325, University of Rochester