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"description": "\n\nScorch\n======\n\n[](https://travis-ci.org/LoicGrobol/scorch)\n[](https://pypi.org/project/scorch)\n[](https://lgtm.com/projects/g/LoicGrobol/scorch/alerts/)\n\nThis is an alternative implementation of the coreference scorer for the CoNLL-2011/2012 shared tasks on coreference resolution.\n\nIt aims to be more straightforward than the [reference implementation][ref-scorer], while maintaining as much compatibility with it as possible.\n\nThe implementations of the various scores are as close as possible from the formulas used by Pradhan et al. (2014), with the edge cases for BLANC taken from Recasens and Hovy (2011).\n\n---\n **S**corer for **cor**eference **ch**ains.\n\n[ref-scorer]: https://github.com/conll/reference-coreference-scorers\n\n## Usage\n\n```bash\nscorch gold.json sys.json out.txt\n```\n\n## Install\n\nFrom the cheeseshop\n\n```bash\npython3 -m pip install --user scorch\n```\n\nOr directly from git\n\n```bash\npython3 -m pip install --user git+https://github.com/LoicGrobol/scorch.git\n```\n\n## Formats\n\n### Single document\n\nThe input files should be JSON files with a `\"type\"` key at top-level\n\n- If `\"type\"` is `\"graph\"`, then top-level should have at top-level\n - A `\"mentions\"` key containing a list of all mention identifiers\n - A `\"links\"` key containing a list of pairs of corefering mention identifiers\n- If `\"type\"` is `\"clusters\"`, then top-level should have a `\"clusters\"` key containing a mapping\n from clusters ids to cluster contents (as lists of mention identifiers).\n\nOf course the system and gold files should use the same set of mention identifiers\u2026\n\n### Multiple documents\n\nIf the inputs are directories, files with the same base name (excluding extension) as those present\nin the sys directory are expected to be present in the gold directory, with exactly one gold file\nfor each sys file.\nIn that case, the output scores will be the micro-average of the individual files\nscores, ie their arithmetic means weighted by the relative numbers of\n\n- Gold mentions for Recall\n- System mentions for Precision\n- The sum of the previous two for F\u2081\n\nThis is different from the reference interpretation where\n\n- **MUC** weighting ignores mentions in singleton entities\n - This should not make any difference for the CoNLL-2012 dataset, since singleton entities are not annotated.\n - For datasets with singletons, the shortcomings of MUC are well known, so this score\n shouldn't matter much\n- **BLANC** is calculated by micro-averaging coreference and non-coreference separately, using\n the number of links as weights instead of the number of mentions.\n - This is roughly equivalent to weighting coreference scores per document by their number of\n non-singleton clusters and non-coreference scores by the square of their number of mentions.\n This give disproportionate importance to large documents, which is not desirable\n in heterogenous corpora\n\nThe CoNLL average score is the arithmetic mean of the global MUC, B\u00b3 and CEAF\u2091 F\u2081 scores.\n\n## Sources\n\n- **Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation.** Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, Eduard Hovy, Vincent Ng and Michael Strube. *Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics*, Baltimore, MD, June 2014. ([pdf](http://aclweb.org/anthology/P/P14/P14-2006.pdf))\n- **BLANC: Implementing the Rand Index for Coreference Evaluation.** Marta Recasens and Eduard Hovy In: *Natural Language Engineering* 17 (4). Cambridge University Press, 2011. ([pdf](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.300.9229&rep=rep1&type=pdf))\n- **An Extension of BLANC to System Mentions.** Xiaoqiang Luo, Sameer Pradhan, Marta Recasens and Eduard Hovy. *Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics*, Baltimore, MD, June 2014. ([pdf](http://aclweb.org/anthology/P/P14/P14-2005.pdf))\n- The version of the Kuhn-Munkres algorithm used for the CEAF scores uses [`scipy.optimize.linear_sum_assignment`](https://docs.scipy.org/doc/latest/reference/generated/scipy.optimize.linear_sum_assignment.html), with `$-\u03d5_n$` as cost function.\n\n## License\n\nUnless otherwise specified (see below), the following licence (the so-called \u201cMIT License\u201d) applies to all the files in this repository.\nSee also [LICENSE.md](LICENSE.md).\n\n```text\nCopyright 2018 Lo\u00efc Grobol \n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and\nassociated documentation files (the \"Software\"), to deal in the Software without restriction,\nincluding without limitation the rights to use, copy, modify, merge, publish, distribute,\nsublicense, and/or sell copies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or\nsubstantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT\nNOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND\nNONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\nDAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT\nOF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n```\n\n### License exceptions\n\n- The reference scorer testcases located in [`tests/fixtures/conll/`](tests/fixtures/conll/datafiles) are distributed under the [Creative Commons Attribution ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)\n - **Copyright** \u00a9 2011- Sameer Pradhan pradhan \\ cemantix.org\n - **Authors**\n - Emili Sapena, Universitat Polit\u00e8cnica de Catalunya, , esapena \\ lsi.upc.edu\n - Sameer Pradhan, , pradhan \\ cemantix.org\n - Sebastian Martschat, sebastian.martschat \\ h-its.org\n - Xiaoqiang Luo, xql \\ google.com\n - **Origin** \n\n These files are taken verbatim from the 8.0.1 of the official CoNLL scorer at \n\n\n",
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