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        "author": "Henry Rosales",
        "author_email": "hrosmendez@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Education",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Build Tools"
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        "description": "# Coreference Resolution wrapper\n\nCoreference Resolution is the task of finding all expressions that refer to the same entity in a text. It is an important step for a lot of higher level NLP tasks that involve natural language understanding such as document summarization, question answering, and information extraction.\n\nThis is a simple library that wrap two Coreference Resolution models form StanfordNLP package: the statistic and neural models. We use here the SpaCy package to load the neural model (a.k.a, *NeuralCoref*), and the stanfordnlp package to load the statistic model (a.k.a, *CoreNLPCoref*).\n\n## Requirements\n\n```bash\npip3 install spacy\npip3 install stanfordnlp\npip3 install wrapperCoreference\n```\n\nStanfordNLP also require the manual downloading of a core of modules, review [here](https://stanfordnlp.github.io/CoreNLP/download.html) for more details.\n\n```bash\nwget http://nlp.stanford.edu/software/stanford-corenlp-full-2018-10-05.zip\n```\n\n## Methods\nExample of usage of the neural model \n```python\nfrom wrapperCoreference import WrapperCoreference\nwc = WrapperCoreference()\nwc.NeuralCoref(u'My sister has a dog. She loves him.')\n#output: [{'start': 21, 'end': 24, 'text': 'She', 'resolved': 'My sister'}, {'start': 31, 'end': 34, 'text': 'him', 'resolved': 'a dog'}]\n```\n\n\nExample of usage of the statistic model \n```python\nfrom wrapperCoreference import WrapperCoreference\nwc = WrapperCoreference()\nwc.setCoreNLP('/tmp/stanford-corenlp-full-2018-10-05')\nprint(wc.CoreNLPCoref(u'My sister has a dog. She loves him.'))\n#output: [{'start': 31, 'end': 34, 'text': 'him', 'resolved': 'a dog', 'fullInformation': [{'start': 14, 'end': 19, 'text': 'a dog'}]}, {'start' : 21, 'end': 24, 'text': 'She', 'resolved': 'My sister', 'fullInformation': [{'start': 0, 'end': 9, 'text': 'My sister'}]}]\n```\n\n\n\n## Combining the output with Entity Linking\n\nYou can use the [nifwrapper](https://github.com/henryrosalesmendez/nifwrapper) library in order to merge the coreference outputs with Entity Linking annotations.\n```python\n\nfrom wrapperCoreference import WrapperCoreference\nfrom nifwrapper import *\n\n#---- Obtaining coreferences\nwc = WrapperCoreference()\ncorefResults = wc.NeuralCoref(u'My sister has a dog. She loves him.')\n#corefResults = [{'start': 21, 'end': 24, 'text': 'She', 'resolved': 'My sister'}, {'start': 31, 'end': 34, 'text': 'him', 'resolved': 'a dog'}]\n\n\n#---- Obtaining Entity Linking results\n# inline NIF corpus creation\nwrp = NIFWrapper()\ndoc = NIFDocument(\"https://example.org/doc1\")\n#--\nsent = NIFSentence(\"https://example.org/doc1#char=0,19\")\nsent.addAttribute(\"nif:beginIndex\",\"0\",\"xsd:nonNegativeInteger\")\nsent.addAttribute(\"nif:endIndex\",\"19\",\"xsd:nonNegativeInteger\")\nsent.addAttribute(\"nif:isString\",\"My sister has a dog.\",\"xsd:string\")\nsent.addAttribute(\"nif:broaderContext\",[\"https://example.org/doc1\"],\"URI LIST\")\n\n\n#-- \na1 = NIFAnnotation(\"https://example.org/doc1#char=14,19\", \"14\", \"19\", [\"https://en.wikipedia.org/wiki/ExambleDogUri\"], [\"dbo:FamilyRelations\"])\na1.addAttribute(\"nif:anchorOf\",\"a dog\",\"xsd:string\")\nsent.pushAnnotation(a1)\ndoc.pushSentence(sent)\n\n#--\nsent2 = NIFSentence(\"https://example.org/doc1#char=21,35\")\nsent2.addAttribute(\"nif:isString\",\"She loves him.\",\"xsd:string\")\nsent2.addAttribute(\"nif:broaderContext\",[\"https://example.org/doc1\"],\"URI LIST\")\nsent2.addAttribute(\"nif:beginIndex\",\"21\",\"xsd:nonNegativeInteger\")\nsent2.addAttribute(\"nif:endIndex\",\"35\",\"xsd:nonNegativeInteger\")\ndoc.pushSentence(sent2)\n#--\nwrp.pushDocument(doc)\n\n#---- Combining EL annotations with coreferences \nwrp.extendsDocWithCoref(corefResults, doc.uri)\n\nprint(wrp.toString())\n```\n\n\n",
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