Comments (1)
transition table
(Last span) | PER or WORK | PHON, SEM or GRAF | META | 同 | 云 | 本,一本,etc. | other |
---|---|---|---|---|---|---|---|
[nothing] | Add to the source stack | Add to the claims stack (and add JDSW to source stack?) | Warn and continue | Warn and continue | Warn and continue | Add to the source stack | Continue |
PER or WORK | Add to the source stack | Add to the claims stack | Warn and continue | Emit a SRC between the previous two spans? | Continue | If it was PER, treat as a compound work | Clear the source and claim stacks |
PHON, SEM or GRAF | Emit a SRC relation tree | Add to the claims stack | Emit a MOD relation | Continue (or merge to last?) | Warn and continue | Emit a SRC relation tree | Emit a SRC relation tree |
META | Add to the source stack | Warn and continue | ??? | Warn and continue | Warn and continue | Add to the source stack | Clear the source and claim stacks |
本,一本,etc. | Warn and continue | Add to the claims stack | Warn and continue | Emit a src between the previous two spans? | Continue | Warn and continue | Continue |
other | Add to the source stack | Warn and continue | Warn and continue | Warn and continue | Warn and continue | Add to the source stack | Continue |
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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
- parse annotations using a model HOT 2
- 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
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