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biluo_tags_from_offsets throw exception for overlapping entities (#4021)
* Check whether two entities overlap - biluo_gold_biluo_overlap now throw exception when entities passed in have overlaps - added unit test * SCA agreement
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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 UG (haftungsbeschränkt)](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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2. With respect to any worldwide copyrights, or copyright applications and
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* you hereby assign to us joint ownership, and to the extent that such
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* at our option, to sublicense these same rights to third parties through
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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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* to the best of your knowledge, each contribution will not violate any
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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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* [ ] I am signing on behalf of myself as an individual and no other person
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contributions.
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* [x] 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 | Ziming He |
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| Company name (if applicable) | Georgia Tech |
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| Title or role (if applicable) | Student |
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| Date | 2019-07-24 |
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| GitHub username | RyanZHe |
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| Website (optional) | www.papermachine.me |
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@ -678,11 +678,23 @@ def biluo_tags_from_offsets(doc, entities, missing="O"):
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>>> tags = biluo_tags_from_offsets(doc, entities)
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>>> assert tags == ["O", "O", 'U-LOC', "O"]
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"""
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# Ensure no overlapping entity labels exist
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tokens_in_ents = {}
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starts = {token.idx: token.i for token in doc}
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ends = {token.idx + len(token): token.i for token in doc}
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biluo = ["-" for _ in doc]
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# Handle entity cases
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for start_char, end_char, label in entities:
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for token_index in range(start_char, end_char):
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if token_index in tokens_in_ents.keys():
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raise ValueError(Errors.E103.format(
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span1=(tokens_in_ents[token_index][0],
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tokens_in_ents[token_index][1],
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tokens_in_ents[token_index][2]),
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span2=(start_char, end_char, label)))
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tokens_in_ents[token_index] = (start_char, end_char, label)
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start_token = starts.get(start_char)
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end_token = ends.get(end_char)
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# Only interested if the tokenization is correct
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@ -4,7 +4,7 @@ from __future__ import unicode_literals
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from spacy.gold import biluo_tags_from_offsets, offsets_from_biluo_tags
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from spacy.gold import spans_from_biluo_tags, GoldParse
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from spacy.tokens import Doc
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import pytest
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def test_gold_biluo_U(en_vocab):
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words = ["I", "flew", "to", "London", "."]
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@ -32,6 +32,14 @@ def test_gold_biluo_BIL(en_vocab):
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tags = biluo_tags_from_offsets(doc, entities)
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assert tags == ["O", "O", "O", "B-LOC", "I-LOC", "L-LOC", "O"]
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def test_gold_biluo_overlap(en_vocab):
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words = ["I", "flew", "to", "San", "Francisco", "Valley", "."]
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spaces = [True, True, True, True, True, False, True]
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doc = Doc(en_vocab, words=words, spaces=spaces)
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entities = [(len("I flew to "), len("I flew to San Francisco Valley"), "LOC"),
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(len("I flew to "), len("I flew to San Francisco"), "LOC")]
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with pytest.raises(ValueError):
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tags = biluo_tags_from_offsets(doc, entities)
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def test_gold_biluo_misalign(en_vocab):
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words = ["I", "flew", "to", "San", "Francisco", "Valley."]
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