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a later PR will add crfsuite base on the newly python-crfsuite(https://github.com/tpeng/python-crfsuite)
It is better to put models somewhere else, and notebooks were broken.
add base classifier and global ngrams feature functions
1. rename DEFAULT_TAGSET to EXAMPLE_TAGSET; 2. rename DEFAULT_FEATURES to EXAMPLE_TOKEN_FEATURES; 3. make token_features empty by default in create_wapiti_pipeline.
except model_filename must be kwargs now. Also, this fixes the example from the tutorial.
…v/webstruct into speed_up_text_tokenizer
Speed up text tokenizer
Wapiti for webstruct
Ignore all non-text tags
Non-recursive implementation of algorithm
fix boolean bug
update travis to run different python versions
Codecov Report
@@ Coverage Diff @@
## master #64 +/- ##
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+ Coverage 81.02% 81.08% +0.06%
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Files 40 40
Lines 2092 2104 +12
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+ Hits 1695 1706 +11
- Misses 397 398 +1 |
Kebniss
commented
Jun 5, 2018
| c, tg = self.sequence_encoder.split(c) | ||
| chains.append((c, tree, is_tail)) | ||
| tags.append(tg) | ||
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with this implementation I don't think it would make sense to create BILOU as a class as it would be just a function that translates IOB tags. I would add here a check for Bilou flag that if True would call the bilou_translator function from sequence_encoding.py
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