Comments (2)
this might be a better fit for spacy's new SpanCategorizer
. maybe we can use this example project and some smart pre-annotating to bootstrap a model for parsing annotations. we could extract:
- fanqie, e.g.
AB反
- yin, e.g.
音X
- qualifiers, e.g.
...下同
,...注同
, - notes about textual variation, e.g.
本又作...
,本亦作...
,[work]作...
- the mystery
如字
- references to other commentaries using
云
- conjunctions, e.g.
...或...
,...又...
- semantic indicators, e.g.
X也
andAB之[A|B]
- citations with numbers, e.g.
凡三篇正二攝一
卦
?徐
?
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approach is now outlined in docs/pipeline.md; closing in favor of more specific tickets.
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Related Issues (20)
- update README
- implement pipeline pattern for data transformations HOT 1
- generate CoNLL-U base versions of all texts
- add logging HOT 1
- fix missing pages in SBCK edition of the JDSW
- add visualization HOT 1
- run topic modeling algorithm on annotations HOT 1
- restructure as spaCy project
- find named entities in annotations HOT 2
- use SuPaR-Kanbun as the base model
- check to see whether NER patterns occur in annotation corpus HOT 1
- rearrange POS tags in priority order HOT 1
- train a span categorizer on jeff & hantao's data HOT 2
- add a streamlit interface for testing named entity predictions HOT 1
- add a streamlit interface for testing span categorization
- Add project task to export annotations
- Separate relation and span annotation
- Detect and label restatements of the headword HOT 1
- Add an algorithm for inferring relations between spans HOT 1
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