Comments (2)
.ner.json can be generated using Stanford coreNLP. The inconsistency might be caused from the outdate of data compared to the votality of Wikidata or DBpedia.
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.ner.json can be generated using Stanford coreNLP. The inconsistency might be caused from the outdate of data compared to the votality of Wikidata or DBpedia.
Thank you a lot !
from casie.
Related Issues (20)
- Can't find content.nostop.label and .content.json HOT 12
- 10002.json is empty
- Json format of 10001.json is not consistent with other json files.
- Not work HOT 1
- what's the 'wd_search' HOT 1
- .content.nostop.label and .content.json HOT 1
- Requirements installation fails HOT 2
- "from tensorflow import set_random_seed" fails HOT 1
- wd_search not found HOT 3
- ๆฅ้ไบ HOT 1
- .ner.json file format HOT 1
- realis_identify.py: error:
- The other three word2vec models is missing.
- How to create content.nonstop.label and content.json HOT 1
- The 10002.json is empty!
- Anybody know how to create the json files in the annotation folder? HOT 1
- i don't konw how to get content.nostop.label,content.json by using standford corenlp ? HOT 1
- how to find or generate the . pkl file? HOT 1
- No module named 'wd_search'๏ผthis error occurs in parseJsontoFeatures.py
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