Comments (4)
It is task dependent. About half of the candidate embeddings are selected.
from ace.
Hi, the number of embeddings depends on the language and the task. It usually use more than 10 embedding in ACE training. During training, the embeddings are selected by the controller. You may read the appendix of the paper for more details about the embedding selections.
from ace.
thank you for replying,
I know that, but the question is how many embeddings the controller will choose, is it fixed or task dependent? And if task-dependent, how many embeddings will there be on average (approximately)?
from ace.
Thanks!
from ace.
Related Issues (20)
- Confuse about the SDP dataset HOT 2
- Is GPU required? HOT 4
- AttributeError: 'NoneType' object has no attribute 'tokenize' HOT 7
- Test result comparison without vs with document-level features HOT 18
- Embeddings Availability HOT 3
- Testing on my own data file HOT 1
- Using your best model for inference for NER in production HOT 4
- Missing B-ORG but with I-ORG and E-ORG HOT 2
- Test PTB Dependency Parsing Model HOT 9
- How to apply ACE model as a parser tool for DM parsing? HOT 3
- Change the directory of downloading HOT 1
- ERROR: No matching distribution found for nltk==7.1.2 HOT 3
- bdb.BdbQuit error while training conll 2003 HOT 1
- Error when loading custom dataset HOT 5
- Memory requirements for a new model HOT 3
- Segmentation Fault (core dumped) HOT 3
- Install fails all python versions tested 3.6 3.7 3.8 3.9 3.10 3.11. Repo Unusable.
- can you share the weight for semantic dependency parsing?
- AttributeError: 'FastSequenceTagger' object has no attribute 'selection'
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from ace.