Comments (9)
Hi @JonathanHourany and @DomHudson , we've created a hotfix branch and uploaded a tarball with the new files coming in 0.1.9:
https://github.com/LexPredict/lexpredict-lexnlp/blob/0.1.8-hotfix-stopwords-collocations/lexnlp/nlp/en/stopwords_collocations_hotfix_0.1.8.tar.gz
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You'll note that we've changed the collocation sizes, in addition to fixing the underlying issue with their automation.
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You'll also note that we now provide multiple stopword files. The proportion in the file name corresponds to the cumulative token frequency represented by the stopwords; e.g.,
stopwords_0.5.pickle
corresponds to the top N frequency words s.t. 50% of all token occurrences are represented by these stopwords. -
These are still preliminary for public use and we are working on releasing the underlying data generation/models in the near future. For example, you may or may not want numeric or hyphenated tokens in your stopwords. You may have seen our release of OpenEDGAR (https://github.com/LexPredict/openedgar) last week, which will be a dependency for customizing these
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Thanks, @JonathanHourany . We'll investigate this in vendoring/distribution and add some unit tests to cover going forward.
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Hello @JonathanHourany , we have identified the issue and have fixes pending for the next release. Would you like us to ship you updated copies in the meantime?
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@mjbommar Yes, please, that would be great!
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I am also interested in this if possible!
Many thanks,
Dom
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@JonathanHourany - Please email us at [email protected] so we can get you the files.
Thanks,
Eric Detterman
[email protected]
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@DomHudson Please email us at [email protected] so we can get you the files.
Thanks,
Eric Detterman
[email protected]
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@ericlex - Will do. Thanks!
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Many thanks!
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Related Issues (20)
- Doc or Sample request for Segmentation
- Couldn't able to extract address from text or string HOT 2
- Unable to extract address from text file or string HOT 1
- Problem installing with poetry HOT 1
- "Failed building wheel for pandas" while installing lexnlp with pip
- Upgrade to Python 3.8 HOT 6
- lexnlp.extract.en.money.get_money invalid parse HOT 1
- lexnlp.extract.en.money, money.py does not include Indian Rupees eventhough included in documentation
- AttributeError: module 'lexnlp.extract.en.entities.nltk_re' has no attribute 'get_entities'
- Cannot install Version 2.1.0 HOT 2
- Install on MacBook Pro MI consistently fails at the same point HOT 3
- Extract only month or year but not full date
- Install failure for 2.1.0 and 2.2.0 on Win10/Python 3.9 due to sklearn==0.23.1 HOT 1
- How to use the ML models
- Paragraph segmentation does not work
- Function `lexnlp.extract.en.dict_entities.entity_config` has not been implemented
- Release latest LexNLP package (2.2.1.0) HOT 2
- Relax package dependencies where possible HOT 1
- Please resolve conflicts in the dependencies
- Unable to download from catalog HOT 1
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