| Name | negate JSON |
| Version |
1.1.3
JSON |
| download |
| home_page | |
| Summary | A Python module that negates sentences. |
| upload_time | 2023-10-25 21:11:22 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2022-2023 Diego Miguel Lozano <hello@diegomiguel.me> Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. |
| keywords |
nlp
negate
negation
negator
sentence-negation
sentence-negator
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<p align="center"><img width="400" src="https://github.com/dmlls/negate/assets/22967053/d0a2886e-8a17-4006-bf23-d36dd880cffa" alt="Negate Logo"></p>
<h2 align="center">Negate: A Python module to negate sentences</h2>
<p align="center" display="inline-block">
<a href="https://pypi.org/project/negate/">
<img src="https://img.shields.io/pypi/v/negate">
</a>
<a href="https://deepsource.io/gh/dmlls/negate/?ref=repository-badge" target="_blank">
<img alt="Active Issues" title="DeepSource" src="https://deepsource.io/gh/dmlls/negate.svg/?label=active+issues&token=D9QCfE028iloctbSdOhywtZy"/>
</a>
</p>
<br><br>
## Introduction
Negate is a Python module that implements rule-based, syntactic sentence
negation in English<sup>1</sup>.
<sub><sup>1</sup> More languages might be supported in the future.</small></sub>
<br>
## Installation
Negate is available on [PyPI](https://pypi.org/project/negate/) and can be
installed using pip:
```shell
pip install -U negate
```
<br>
## Usage
### 1. Initializing the Negator
First the Negator must be initialized:
```Python
from negate import Negator
# Use default model (en_core_web_md):
negator = Negator()
```
<br>
By default, negate uses the spaCy model
[`en_core_web_md`](https://spacy.io/models/en#en_core_web_md) for POS tagging
and dependency parsing. This model works well for most cases. However, if
maximum accuracy is needed, negate also allows to use a Transformer model,
namely the spaCy model
[`en_core_web_trf`](https://spacy.io/models/en#en_core_web_trf). To use this
model, first install the additional dependencies and then initialize the Negator
passing `use_transformers=True`:
```shell
pip install -U "negator[transformers]"
```
```Python
# Use a Transformer model (en_core_web_trf):
negator = Negator(use_transformers=True)
# GPU can also be used (if available):
negator = Negator(use_transformers=True, use_gpu=True)
```
<br>
### 2. Negating sentences
Then, to negate a sentence:
```Python
sentence = "An apple a day, keeps the doctor away."
negated_sentence = negator.negate_sentence(sentence)
print(negated_sentence) # "An apple a day, doesn't keep the doctor away."
```
<br>
When the parameter `prefer_contractions` is set to `True` (default),
modifications to auxiliary verbs will use their contracted form<sup>2</sup>. For
example:
```Python
sentence = "Speaking of doctors, I went to the doctor the other day."
negated_sentence = negator.negate_sentence(sentence, prefer_contractions=True)
print(negated_sentence) # "Speaking of doctors, I didn't go to the doctor the other day."
negated_sentence = negator.negate_sentence(sentence, prefer_contractions=False)
print(negated_sentence) # "Speaking of doctors, I did not go to the doctor the other day."
```
<sub><sup>2</sup> Note that this does not affect other existent verbs in the
sentence that haven't been modified.</small></sub>
<br>
### Behavior upon unsupported sentences
Currently, negate will not be able to negate certain types of sentences (see
[Current Limitations](#current-limitations) and [Irremediable
Caveats](#irremediable-caveats)).
In some cases, negate will detect that a sentence is not supported. By default,
a warning will be issued:
```console
Negator - WARNING: Sentence not supported. Output might be arbitrary.
```
<br>
If you want the negator to fail instead of printing a warning, simply initialize
it with `fail_on_unsupported` set to `True`, i.e.:
```Python
negator = Negator(fail_on_unsupported=True)
```
<br>
This can be useful to skip unsupported sentences when running negate on a batch
of sentences, e.g.:
```Python
negator = Negator(fail_on_unsupported=True)
sentences = [...]
negated_sentences = []
for sent in sentences:
try:
negated_sentences.append(negator.negate_sentence(sent))
except RuntimeError:
pass # skip unsupported sentence
```
<br>
## Current Limitations
**Negate should work fine for most cases.** However, it is currently in beta
phase. Some features have not yet been implemented. Pull Requests are always
welcome!
- [ ] **"Some", "any", "yet" are not properly supported.** E.g.: Negating the
sentence "There are some features to be implemented." will currently output
"There aren't some features to be implemented." Although this could still make
sense depending on the context (e.g., "There aren't some features to be
implemented. No, not just *some*, there are a lot!"), I assume most users
would expect "some" being replaced with "any" and vice versa. When it comes to
"yet", when negating a negation, it makes sense to remove it or replace it
with "already", e.g., "I haven't been to Paris yet." → "I have been to Paris."
- [x] ~**[Inversions](https://dictionary.cambridge.org/es-LA/grammar/british-grammar/inversion)
are not supported.** This mainly affects to questions, e.g., "*Did* you go to
the concert?" vs. "You *did* go to the concert." Notice how in the first
example (interrogative) we have AUX + PRON + VERB and in the second
(affirmative) PRON + AUX + VERB.~ **Update:** Inversions are now supported!
- [ ] **Non-verbal negations are not supported.** This type of negations, such
as "A bottle with no cap." will produce the warning: `Negator - WARNING:
Sentence not supported. Output might be arbitrary`.
- [ ] **The auxiliary "ought" is not supported.** "Ought" is the only auxiliary
followed by a "to." This complicates things slightly. But yeah, it ought to be
implemented at some point.
- [ ] **Certain verb conjunctions are not supported.** E.g.: "She hates and
loves winter." → "She doesn't *hate* and *love* winter." Currently, only the
first verb will be correctly conjugated. In this cases, it would also make
sense to attend to boolean algebra (De Morgan's law) and replace the "and"
with "or"/ "neither"/"nor", i.e., "She doesn't *hate* nor *love* winter."
- [ ] **Multiple verb negation is not supported.** In many sentences with
subordinate clauses, it would make sense to negate several verbs. E.g.: "I am
hungry because I didn't eat." → "I am *not* hungry because I *ate*."
<br>
## Irremediable Caveats
Language took very seriously Bruce Lee's famous words "be water, my friend." It
is extremely flexible, and therefore, no number of rules, however large this
number may be, will cover the whole realm of possibilities. Just when you think
your rules cover most of the cases, a new one comes in that breaks things. Early
NLP researchers and developers know very well about this.
Negate has no notion of meaning neither will ever do. Its scope its limited to
syntax. Because of this, in some cases, the produced negated sentences might
sound rather off.
Negate depends 100 % on POS tagging and dependency parsing. If any of them
fails, negate will also fail. The spaCy models we use are not infallible, which
adds another layer of "things that could go wrong" to negate.
This module was in fact developed to generate negation data in order to
fine-tune NLP Deep Learning models (yes, Transformers – can't believe I made it
this long without mentioning the word). They are, of course, the way to go for a
fully-fledged negation that also attends to semantics.
<br>
## Acknowledgements
Negate has two core direct dependencies. Without them, negate wouldn't be able
to exist:
- [spaCy 💫](https://github.com/explosion/spaCy): As already mentioned, we rely
on POS tagging and dependency parsing to negate sentences. spaCy makes this
process very easy for us.
- [LemmInflect 🍋](https://github.com/bjascob/LemmInflect): Negations go far
beyond adding or removing a negation particle. In some cases, verbs have to be
properly conjugated (e.g., when negating verbs in third-person or in past
simple). LemmInflect provides us with this functionality.
<br>
## Academic Publications
Negate has been used in the following academic papers:
- Anschütz, M., Lozano, D. M., & Groh, G. (2023, July 26). *This is not correct!
Negation-aware Evaluation of Language Generation Systems.* arXiv.org.
https://arxiv.org/abs/2307.13989
Raw data
{
"_id": null,
"home_page": "",
"name": "negate",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "Diego Miguel Lozano <hello@diegomiguel.me>",
"keywords": "NLP,negate,negation,negator,sentence-negation,sentence-negator",
"author": "",
"author_email": "Diego Miguel Lozano <hello@diegomiguel.me>",
"download_url": "https://files.pythonhosted.org/packages/b0/be/ad8a66d982f8cdd4c3197f70f9501ec08b1801890b1040ee4249f0f9dd7e/negate-1.1.3.tar.gz",
"platform": null,
"description": "<p align=\"center\"><img width=\"400\" src=\"https://github.com/dmlls/negate/assets/22967053/d0a2886e-8a17-4006-bf23-d36dd880cffa\" alt=\"Negate Logo\"></p>\n<h2 align=\"center\">Negate: A Python module to negate sentences</h2>\n<p align=\"center\" display=\"inline-block\">\n <a href=\"https://pypi.org/project/negate/\">\n <img src=\"https://img.shields.io/pypi/v/negate\">\n </a>\n <a href=\"https://deepsource.io/gh/dmlls/negate/?ref=repository-badge\" target=\"_blank\">\n <img alt=\"Active Issues\" title=\"DeepSource\" src=\"https://deepsource.io/gh/dmlls/negate.svg/?label=active+issues&token=D9QCfE028iloctbSdOhywtZy\"/>\n </a>\n</p>\n\n<br><br>\n\n## Introduction\n\nNegate is a Python module that implements rule-based, syntactic sentence\nnegation in English<sup>1</sup>.\n\n\n<sub><sup>1</sup> More languages might be supported in the future.</small></sub>\n\n<br>\n\n## Installation\n\nNegate is available on [PyPI](https://pypi.org/project/negate/) and can be\ninstalled using pip:\n```shell\npip install -U negate\n```\n\n<br>\n\n## Usage\n\n### 1. Initializing the Negator\n\nFirst the Negator must be initialized:\n\n```Python\nfrom negate import Negator\n\n# Use default model (en_core_web_md):\nnegator = Negator()\n\n```\n\n<br>\n\nBy default, negate uses the spaCy model\n[`en_core_web_md`](https://spacy.io/models/en#en_core_web_md) for POS tagging\nand dependency parsing. This model works well for most cases. However, if\nmaximum accuracy is needed, negate also allows to use a Transformer model,\nnamely the spaCy model\n[`en_core_web_trf`](https://spacy.io/models/en#en_core_web_trf). To use this\nmodel, first install the additional dependencies and then initialize the Negator\npassing `use_transformers=True`:\n\n```shell\npip install -U \"negator[transformers]\"\n```\n\n```Python\n# Use a Transformer model (en_core_web_trf):\nnegator = Negator(use_transformers=True)\n\n# GPU can also be used (if available):\nnegator = Negator(use_transformers=True, use_gpu=True)\n```\n\n<br>\n\n### 2. Negating sentences\n\nThen, to negate a sentence:\n\n```Python\nsentence = \"An apple a day, keeps the doctor away.\"\n\nnegated_sentence = negator.negate_sentence(sentence)\n\nprint(negated_sentence) # \"An apple a day, doesn't keep the doctor away.\"\n```\n\n<br>\n\nWhen the parameter `prefer_contractions` is set to `True` (default),\nmodifications to auxiliary verbs will use their contracted form<sup>2</sup>. For\nexample:\n\n```Python\nsentence = \"Speaking of doctors, I went to the doctor the other day.\"\n\nnegated_sentence = negator.negate_sentence(sentence, prefer_contractions=True)\nprint(negated_sentence) # \"Speaking of doctors, I didn't go to the doctor the other day.\"\n\nnegated_sentence = negator.negate_sentence(sentence, prefer_contractions=False)\nprint(negated_sentence) # \"Speaking of doctors, I did not go to the doctor the other day.\"\n```\n\n<sub><sup>2</sup> Note that this does not affect other existent verbs in the\nsentence that haven't been modified.</small></sub>\n\n<br>\n\n### Behavior upon unsupported sentences\n\nCurrently, negate will not be able to negate certain types of sentences (see\n[Current Limitations](#current-limitations) and [Irremediable\nCaveats](#irremediable-caveats)).\n\nIn some cases, negate will detect that a sentence is not supported. By default,\na warning will be issued:\n\n```console\nNegator - WARNING: Sentence not supported. Output might be arbitrary.\n```\n\n<br>\n\nIf you want the negator to fail instead of printing a warning, simply initialize\nit with `fail_on_unsupported` set to `True`, i.e.:\n\n```Python\nnegator = Negator(fail_on_unsupported=True)\n```\n\n<br>\n\nThis can be useful to skip unsupported sentences when running negate on a batch\nof sentences, e.g.:\n\n```Python\nnegator = Negator(fail_on_unsupported=True)\nsentences = [...]\nnegated_sentences = []\n\nfor sent in sentences:\n try:\n negated_sentences.append(negator.negate_sentence(sent))\n except RuntimeError:\n pass # skip unsupported sentence\n```\n\n<br>\n\n## Current Limitations\n\n**Negate should work fine for most cases.** However, it is currently in beta\nphase. Some features have not yet been implemented. Pull Requests are always\nwelcome!\n\n\n- [ ] **\"Some\", \"any\", \"yet\" are not properly supported.** E.g.: Negating the\n sentence \"There are some features to be implemented.\" will currently output\n \"There aren't some features to be implemented.\" Although this could still make\n sense depending on the context (e.g., \"There aren't some features to be\n implemented. No, not just *some*, there are a lot!\"), I assume most users\n would expect \"some\" being replaced with \"any\" and vice versa. When it comes to\n \"yet\", when negating a negation, it makes sense to remove it or replace it\n with \"already\", e.g., \"I haven't been to Paris yet.\" \u2192 \"I have been to Paris.\"\n\n- [x] ~**[Inversions](https://dictionary.cambridge.org/es-LA/grammar/british-grammar/inversion)\n are not supported.** This mainly affects to questions, e.g., \"*Did* you go to\n the concert?\" vs. \"You *did* go to the concert.\" Notice how in the first\n example (interrogative) we have AUX + PRON + VERB and in the second\n (affirmative) PRON + AUX + VERB.~ **Update:** Inversions are now supported!\n\n- [ ] **Non-verbal negations are not supported.** This type of negations, such\n as \"A bottle with no cap.\" will produce the warning: `Negator - WARNING:\n Sentence not supported. Output might be arbitrary`.\n\n- [ ] **The auxiliary \"ought\" is not supported.** \"Ought\" is the only auxiliary\n followed by a \"to.\" This complicates things slightly. But yeah, it ought to be\n implemented at some point.\n\n- [ ] **Certain verb conjunctions are not supported.** E.g.: \"She hates and\n loves winter.\" \u2192 \"She doesn't *hate* and *love* winter.\" Currently, only the\n first verb will be correctly conjugated. In this cases, it would also make\n sense to attend to boolean algebra (De Morgan's law) and replace the \"and\"\n with \"or\"/ \"neither\"/\"nor\", i.e., \"She doesn't *hate* nor *love* winter.\"\n\n- [ ] **Multiple verb negation is not supported.** In many sentences with\n subordinate clauses, it would make sense to negate several verbs. E.g.: \"I am\n hungry because I didn't eat.\" \u2192 \"I am *not* hungry because I *ate*.\"\n\n<br>\n\n## Irremediable Caveats\n\nLanguage took very seriously Bruce Lee's famous words \"be water, my friend.\" It\nis extremely flexible, and therefore, no number of rules, however large this\nnumber may be, will cover the whole realm of possibilities. Just when you think\nyour rules cover most of the cases, a new one comes in that breaks things. Early\nNLP researchers and developers know very well about this.\n\nNegate has no notion of meaning neither will ever do. Its scope its limited to\nsyntax. Because of this, in some cases, the produced negated sentences might\nsound rather off.\n\nNegate depends 100 % on POS tagging and dependency parsing. If any of them\nfails, negate will also fail. The spaCy models we use are not infallible, which\nadds another layer of \"things that could go wrong\" to negate.\n\nThis module was in fact developed to generate negation data in order to\nfine-tune NLP Deep Learning models (yes, Transformers \u2013 can't believe I made it\nthis long without mentioning the word). They are, of course, the way to go for a\nfully-fledged negation that also attends to semantics.\n\n<br>\n\n## Acknowledgements\n\nNegate has two core direct dependencies. Without them, negate wouldn't be able\nto exist:\n\n- [spaCy \ud83d\udcab](https://github.com/explosion/spaCy): As already mentioned, we rely\n on POS tagging and dependency parsing to negate sentences. spaCy makes this\n process very easy for us.\n\n- [LemmInflect \ud83c\udf4b](https://github.com/bjascob/LemmInflect): Negations go far\n beyond adding or removing a negation particle. In some cases, verbs have to be\n properly conjugated (e.g., when negating verbs in third-person or in past\n simple). LemmInflect provides us with this functionality.\n\n<br>\n\n## Academic Publications\n\nNegate has been used in the following academic papers:\n\n- Ansch\u00fctz, M., Lozano, D. M., & Groh, G. (2023, July 26). *This is not correct!\n Negation-aware Evaluation of Language Generation Systems.* arXiv.org.\n https://arxiv.org/abs/2307.13989 \n",
"bugtrack_url": null,
"license": " Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License. \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\" \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets \"[]\" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same \"printed page\" as the copyright notice for easier identification within third-party archives. Copyright 2022-2023 Diego Miguel Lozano <hello@diegomiguel.me> Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.",
"summary": "A Python module that negates sentences.",
"version": "1.1.3",
"project_urls": {
"GitHub Issues": "https://github.com/dmlls/negate/issues",
"GitHub Repo": "https://github.com/dmlls/negate",
"Homepage": "https://github.com/dmlls/negate"
},
"split_keywords": [
"nlp",
"negate",
"negation",
"negator",
"sentence-negation",
"sentence-negator"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "da899bd295e3079bb81d5c693aabc5ebae23572a10fe0f8323e61196489cfeea",
"md5": "a2a9f7b6203b54f82810ed37abd54138",
"sha256": "389c6e688748222f335fe3af8a1d295743155e81928018a25e153fd92ff01a4b"
},
"downloads": -1,
"filename": "negate-1.1.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a2a9f7b6203b54f82810ed37abd54138",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 23083,
"upload_time": "2023-10-25T21:11:21",
"upload_time_iso_8601": "2023-10-25T21:11:21.004074Z",
"url": "https://files.pythonhosted.org/packages/da/89/9bd295e3079bb81d5c693aabc5ebae23572a10fe0f8323e61196489cfeea/negate-1.1.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b0bead8a66d982f8cdd4c3197f70f9501ec08b1801890b1040ee4249f0f9dd7e",
"md5": "904e7e8927b829fd145e487d34e6e23d",
"sha256": "7ae3a2402d39c3fd25dfc49112d721d188f84b972a96d835986592c8801b5071"
},
"downloads": -1,
"filename": "negate-1.1.3.tar.gz",
"has_sig": false,
"md5_digest": "904e7e8927b829fd145e487d34e6e23d",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 37346,
"upload_time": "2023-10-25T21:11:22",
"upload_time_iso_8601": "2023-10-25T21:11:22.968112Z",
"url": "https://files.pythonhosted.org/packages/b0/be/ad8a66d982f8cdd4c3197f70f9501ec08b1801890b1040ee4249f0f9dd7e/negate-1.1.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-25 21:11:22",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "dmlls",
"github_project": "negate",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "negate"
}
