Creating training data (2)
Let's use the match patterns we've created in the previous exercise to bootstrap a set of training examples. The nlp
object has already been created for you and the Matcher
with the added patterns pattern1
and pattern2
is available as the variable matcher
. A list of sentences is available as the variable TEXTS
.
Diese Übung ist Teil des Kurses
Advanced NLP with spaCy
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Create a Doc object for each text in TEXTS
for ____ in ____:
# Find the matches in the doc
matches = ____(____)
# Get a list of (start, end, label) tuples of matches in the text
entities = [(____, ____, 'GADGET') for ____, ____, ____ in matches]
print(doc.text, entities)