Monday

Opening session

13:30-14:00, Kari Tanácsterem (A039)

1 Introduction to Python, Session 1

14:00-15:45 A330

• Variables
• Data Types
• Operators
• Loops
• Indexing
• Functions
• Classes
• Flow Control

2 Introduction to Python, Session 2

16:15-18:00, Leonard

• Input/Ouptut
• Modules
• LXML
• Pandas
• Plotting

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Tuesday

3 Intro to spaCy

9:00-10:45, Andy

• Python strings
• Language objects, doc, sents, tokens
• POS
• NER (w/ pre-trained models)
• displacy
• available spaCy models
• Adding models from spacy-stanfordnlp

4 Spacy & TEI

11:15-13:00, David

• standoff converter
• adding extensions
• automated markup
  • NER
  • linguistic features

5 Rule-based matching and new pipeline components

14:00-15:15, Andy and David (short session)

• Rule-based matching
• adding/pipelines
• if time, fasttext, MUSE

6 Training custom models

15:45-17:00, Andy

• training data
• training spaCy models (ner, textcat, pos, dep, semantic similarity)
• Prodigy
• discussion

Wednesday

7 spaCy Universe (slides)

(9:00-10:45, Andy and David

• spaCy IRL

• course.spacy.io

• other learning resources

• scattertext (finding distinguishing terms in small-to-medium-sized corpora, and presenting them in a sexy, interactive scatter plot with non-overlapping term labels)

• Named Entity Linking

• spacy-pytorch-transformers & spacy pretrain

• concluding discussion