Meta Pattern-driven Attribute Discovery from Massive Text Corpora
zip/data-metapad.zip
typed news corpus
You can check your output with zip/output-metapad.zip
meta patterns after segmentation (top or bottom)
matching tables with meta patterns of appropriate granularity (top-down or bottom-up)
results of information extraction using meta patterns (attribute)
Entity linked done by matching to Freebase (thus possible typing errors).
Data is in the input/
folder.
This version should be compatible with Python3. C++ code requires OpenMP library to run.
Execute run.sh
- Encryption:
metapad.py
- pattern segmentation and classification : C++
- synonymous pattern grouping: Python
metapad.py
- type level adjustment: Python
metapad.py