Comments (3)
MITIE is purposefully designed to have no parameters. The thing that will make this work better is using more training data. If you want to use lower level tooling that lets you design your own models then you should look at dlib, since MITIE is a thin wrapper around dlib.
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alright, do you have any published research paper available that shows the state-of-the-art wordrep
algo and technique behind it. That would be great ?
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It's based on this method: http://jmlr.csail.mit.edu/papers/volume16/dhillon15a/dhillon15a.pdf
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Related Issues (20)
- issues in MITIEInterpreter HOT 1
- attribute error when running on python3.6 HOT 4
- What text categorizer perform to handle unknown vocabulary in testing dataset HOT 2
- Current version 0.6 is release with setup.py version set to 0.5 HOT 2
- suitable tool to annotate large text file
- Mitie code integration with GPU HOT 1
- “std::bad_alloc”: am I using too much memory?
- extract_entities returns score of 0 HOT 1
- Can not install mitie on Centos7 HOT 1
- How does mitie deal with the segmentation of OOV HOT 1
- Interface HOT 4
- Exception: Invalid range given to ner_training_instance.overlaps_any_entity(). It overlaps an entity given to a previous call to add_entity(). HOT 1
- Project status? HOT 2
- Dlib as (forked) surepo, transplant your changes to your forkadd it as subrepo, HOT 4
- Bad offsets for tokenize_with_offsets with UTF-8
- Not classifying trained entities HOT 5
- PHP bindings HOT 2
- Unexpected `Bus error: 10` while using `wordrep` HOT 10
- Is MITIE a proper choice for restoring punctuation HOT 2
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