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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
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[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
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The SCA applies to any contribution that you make to any product or project
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managed by us (the **"project"**), and sets out the intellectual property rights
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you grant to us in the contributed materials. The term **"us"** shall mean
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[ExplosionAI GmbH](https://explosion.ai/legal). The term
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**"you"** shall mean the person or entity identified below.
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If you agree to be bound by these terms, fill in the information requested
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below and include the filled-in version with your first pull request, under the
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folder [`.github/contributors/`](/.github/contributors/). The name of the file
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should be your GitHub username, with the extension `.md`. For example, the user
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example_user would create the file `.github/contributors/example_user.md`.
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Read this agreement carefully before signing. These terms and conditions
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constitute a binding legal agreement.
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## Contributor Agreement
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1. The term "contribution" or "contributed materials" means any source code,
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object code, patch, tool, sample, graphic, specification, manual,
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documentation, or any other material posted or submitted by you to the project.
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2. With respect to any worldwide copyrights, or copyright applications and
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registrations, in your contribution:
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* you hereby assign to us joint ownership, and to the extent that such
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assignment is or becomes invalid, ineffective or unenforceable, you hereby
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grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
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royalty-free, unrestricted license to exercise all rights under those
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copyrights. This includes, at our option, the right to sublicense these same
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rights to third parties through multiple levels of sublicensees or other
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licensing arrangements;
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* you agree that each of us can do all things in relation to your
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contribution as if each of us were the sole owners, and if one of us makes
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a derivative work of your contribution, the one who makes the derivative
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work (or has it made will be the sole owner of that derivative work;
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* you agree that you will not assert any moral rights in your contribution
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against us, our licensees or transferees;
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* you agree that we may register a copyright in your contribution and
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exercise all ownership rights associated with it; and
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* you agree that neither of us has any duty to consult with, obtain the
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consent of, pay or render an accounting to the other for any use or
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distribution of your contribution.
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3. With respect to any patents you own, or that you can license without payment
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to any third party, you hereby grant to us a perpetual, irrevocable,
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non-exclusive, worldwide, no-charge, royalty-free license to:
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* make, have made, use, sell, offer to sell, import, and otherwise transfer
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your contribution in whole or in part, alone or in combination with or
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included in any product, work or materials arising out of the project to
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which your contribution was submitted, and
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* at our option, to sublicense these same rights to third parties through
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multiple levels of sublicensees or other licensing arrangements.
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4. Except as set out above, you keep all right, title, and interest in your
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contribution. The rights that you grant to us under these terms are effective
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on the date you first submitted a contribution to us, even if your submission
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took place before the date you sign these terms.
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5. You covenant, represent, warrant and agree that:
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* Each contribution that you submit is and shall be an original work of
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authorship and you can legally grant the rights set out in this SCA;
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* to the best of your knowledge, each contribution will not violate any
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third party's copyrights, trademarks, patents, or other intellectual
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property rights; and
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* each contribution shall be in compliance with U.S. export control laws and
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other applicable export and import laws. You agree to notify us if you
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become aware of any circumstance which would make any of the foregoing
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representations inaccurate in any respect. We may publicly disclose your
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participation in the project, including the fact that you have signed the SCA.
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6. This SCA is governed by the laws of the State of California and applicable
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U.S. Federal law. Any choice of law rules will not apply.
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7. Please place an “x” on one of the applicable statement below. Please do NOT
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mark both statements:
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* [ ] I am signing on behalf of myself as an individual and no other person
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or entity, including my employer, has or will have rights with respect to my
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contributions.
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* [ ] I am signing on behalf of my employer or a legal entity and I have the
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actual authority to contractually bind that entity.
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## Contributor Details
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| Field | Entry |
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|------------------------------- | -------------------- |
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| Name | Pierre Lison |
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| Company name (if applicable) | Norsk Regnesentral |
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| Title or role (if applicable) | Senior Researcher |
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| Date | 22.04.2021 |
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| GitHub username | plison |
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| Website (optional) | www.nr.no/~plison |
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@ -1,5 +1,58 @@
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{
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"resources": [
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{
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"id": "skweak",
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"title": "skweak",
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"slogan": "Weak supervision for NLP",
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"description": "`skweak` brings the power of weak supervision to NLP tasks, and in particular sequence labelling and text classification. Instead of annotating documents by hand, `skweak` allows you to define *labelling functions* to automatically label your documents, and then aggregate their results using a statistical model that estimates the accuracy and confusions of each labelling function.",
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"github": "https://github.com/NorskRegnesentral/skweak",
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"pip": "skweak",
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"code_example": [
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"import spacy, re",
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"from skweak import heuristics, gazetteers, aggregation, utils",
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"",
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"# LF 1: heuristic to detect occurrences of MONEY entities",
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"def money_detector(doc):",
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" for tok in doc[1:]:",
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" if tok.text[0].isdigit() and tok.nbor(-1).is_currency:",
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" yield tok.i-1, tok.i+1, 'MONEY'",
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"lf1 = heuristics.FunctionAnnotator('money', money_detector)",
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"",
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"# LF 2: detection of years with a regex",
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"lf2= heuristics.TokenConstraintAnnotator ('years', lambda tok: re.match('(19|20)\\d{2}$', tok.text), 'DATE')",
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"",
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"# LF 3: a gazetteer with a few names",
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"NAMES = [('Barack', 'Obama'), ('Donald', 'Trump'), ('Joe', 'Biden')]",
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"trie = gazetteers.Trie(NAMES)",
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"lf3 = gazetteers.GazetteerAnnotator('presidents', {'PERSON':trie})",
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"",
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"# We create a corpus (here with a single text)",
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"nlp = spacy.load('en_core_web_sm')",
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"doc = nlp('Donald Trump paid $750 in federal income taxes in 2016')",
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"",
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"# apply the labelling functions",
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"doc = lf3(lf2(lf1(doc)))",
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"",
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"# and aggregate them",
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"hmm = aggregation.HMM('hmm', ['PERSON', 'DATE', 'MONEY'])",
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"hmm.fit_and_aggregate([doc])",
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"",
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"# we can then visualise the final result (in Jupyter)",
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"utils.display_entities(doc, 'hmm')"
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],
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"code_language": "python",
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"url": "https://github.com/NorskRegnesentral/skweak",
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"thumb": "https://raw.githubusercontent.com/NorskRegnesentral/skweak/main/data/skweak_logo_thumbnail.jpg",
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"image": "https://raw.githubusercontent.com/NorskRegnesentral/skweak/main/data/skweak_logo.jpg",
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"author": "Pierre Lison",
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"author_links": {
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"twitter": "plison2",
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"github": "plison",
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"website": "https://www.nr.no/~plison"
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},
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"category": ["pipeline", "standalone", "research", "training"],
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"tags": []
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},
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{
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"id": "numerizer",
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"title": "numerizer",
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@ -3002,4 +3055,4 @@
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]
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}
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]
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}
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}
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