Comments (2)
No, user needs to specify the views to be added
from cogcomp-nlpy.
The confusing part is that, in the first example, we show empty init
and load POS. So it sort of implies that you don't have to specify the views. But later we do. We have to clarify this.
from cogcomp-nlpy.
Related Issues (20)
- link doc no found!
- No found Local Pipeline. HOT 8
- Add a minimum model version HOT 2
- Not everything should be a property in TextAnnotation HOT 1
- How to disable logging?
- Remote server fails when specifying it with a trailing "/"
- A problem about getting 'verb_srl' view with LocalPipeline. HOT 4
- unable to Use Some Annotators HOT 8
- Failed to load models, Class not found HOT 1
- can't find and can't download several files. And as a result can't use SRL_VERB HOT 1
- Model cannot be downloaded
- local pipeline yields different results from remote one
- NER Prediction Issue HOT 1
- can't install ccg_nlpy (pyjnius install fails) HOT 4
- text_annotation = self.pipeline.createBasicTextAnnotation("", "", text) AttributeError: 'NoneType' object has no attribute 'createBasicTextAnnotation' HOT 9
- Serialization call fails to write the temporary proto HOT 5
- Local_PIpeline: why protobuff? HOT 2
- File "/scratch/sjn/anaconda/lib/python3.6/site-packages/ccg_nlpy/core/text_annotation.py", line 78, in _extract_char_offset assert sentence[characterId] == tokens[tokenId][tokenLength], sentence[characterId] + " expected, found " + tokens[tokenId][tokenLength] + " instead in sentence: " + sentence; AssertionError: � expected, found s instead in sentence: HOT 4
- why get_ner_ontonotoes is like 6% better than get_ner_conll? HOT 4
- Tokens not aligned with Ontonotes Tokens HOT 1
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