Comments (2)
I'll answer each in order:
Use txt2tajson.py. There is no config format for plain text because we always save to the format we load, and there's no established way of storing NER annotations in plain text.
Are you clicking on just one token? (e.g. Watson, or Miss). If you click and drag (start on Miss, hold down, move to Watson) then select label it should work. If this doesn't work, please open a separate issue with steps to reproduce.
There used to be a Non-entity button, but I removed it. Thanks for the suggestion, we'll consider for future updates.
The log is intended as a log, not necessarily for recreating. I'm not sure I understand the question about the orig-annotation-user files.
Input data may be labeled. In this case, I guess only the ta/eng data has labels (sorry, I can see how that is confusing), but any input data may contain labels.
This should be stored in a local dictionary, and also written to file. Once you add a definition, you should be able to check "Show dictionary" and all definitions will be shown inline. This appears to not work at the moment. Thanks for pointing it out.
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Just pushed a commit (b74c836) that fixes the dictionary bug. Thanks again for pointing it out.
This will save the dictionary to dicts/CONFIGNAME-USERNAME.txt. This will be loaded next time you open talen.
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Related Issues (19)
- Include support for arbitrary label sets. HOT 1
- Add toggle to show/hide original script HOT 1
- Add a quick-view option to see existing documents HOT 1
- First annotation per document is always slow.
- Select next document to annotate to maximize diversity.
- Add format flexibility
- Add checkbox for propagation
- Failed to execute goal on project talen HOT 5
- Discover label set from data
- NPE annotating text HOT 1
- Instructions on loading data HOT 3
- "Make this change in X other documents?"
- Get phrase counts from text, display on highlight.
- Unify the javascript library
- Fix issues related to scalability. HOT 1
- Show hints based on Brown Clusters
- Highlight text when hover over TF-IDF
- Last token in the text cannot be marked HOT 1
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