Comments (2)
I used the information obtained from the twm and tp files regarding start and end of each chunk. It is still not perfect though as defining "continuous" might be hard. The current definition considers contiguous only chunks which are separated only by letters, but this misses cases such as Coppa d'Africa
:
{
"chunks": [
"la Nazionale del suo paese",
"Coppa",
"Africa"
],
"id": "043",
"sentence": "Con la Nazionale del suo paese, ha giocato la Coppa d'Africa 2010."
},
(don't mind the first commit please, I screwed up with branches)
from fact-extractor.
Symbols such as commas and dash might be used to split elements of lists which shouldn't be incorporated into a single chunk. The sample is now transformed to
{
"chunks": [
"Thépot",
"Brest",
"FEC Levallois",
"Red",
"FC",
"USL Dunkerque"
],
"id": "012",
"sentence": "Thépot giocò per il Brest, FEC Levallois, Red Star FC, e l'USL Dunkerque."
}
from fact-extractor.
Related Issues (20)
- Add a fact confidence score to the supervised results
- Wrap up the project in a blog post
- Investigate supervised frame classification HOT 1
- Integrate numerical FEs into gold standard
- Gold standard must comply to the latest sentence ID format HOT 1
- Complete unsupervised evaluation
- Complete supervised evaluation
- Output datasets should comply to mappings
- Mint a frame instance type assertion when a mapping to DBPO is found
- Exotic numerical FEs annotations in the unsupervised output
- Add a flag to toggle numerical FEs evaluation HOT 1
- Makefile target for the unsupervised evaluation
- Review code documentation HOT 6
- Add missing sentences to gold standard HOT 1
- No line feed added after feature label
- Cache entity linking results
- Supervised frame confidence score is not taken into account
- produce_labeled_data.py appears to only use Italian stopwords HOT 2
- ImportError: No module named secrets HOT 1
- requirements.txt cannot be installed HOT 1
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from fact-extractor.