A spaCy custom component that extracts and normalizes dates and other temporal expressions
Project description
Timexy 🕙 📅
A spaCy custom component that extracts and normalizes dates and other temporal expressions.
Features
- :boom: Extract dates and durations for various languages. See here a list of currently supported languages
- :boom: Normalize dates to timestamps or normalize dates and durations to the TimeML TIMEX3 standard
Supported Languages
- 🇩🇪 German
- :uk: English
- 🇫🇷 French
Installation
pip install timexy
Usage
After installation, simply integrate the timexy component in any of your spaCy pipelines to extract and normalize dates and other temporal expressions:
import spacy
from timexy import Timexy
nlp = spacy.load("en_core_web_sm")
# Optionally add config if varying from default values
config = {
"kb_id_type": "timex3", # possible values: 'timex3'(default), 'timestamp'
"label": "timexy", # default: 'time'
"overwrite": False # default: False
}
nlp.add_pipe("timexy", config=config)
doc = nlp("Today is the 10.10.2010. I was in Paris for six years.")
for e in doc.ents:
print(f"{e.text}\t{e.label_}\t{e.kb_id_}")
>>> 10.10.2010 timexy TIMEX3 type="DATE" value="2010-10-10T00:00:00"
>>> six years timexy TIMEX3 type="DURATION" value="P6Y"
Contributing
Please refer to the contributing guidelines here.
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Source Distribution
timexy-0.1.3.tar.gz
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timexy-0.1.3-py3-none-any.whl
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