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