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        "author": "Marco Lui",
        "author_email": "mhlui@unimelb.edu.au",
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        "description": "=============\nPIBOSO Tagger\n=============\n\nThis module contains a fully-standalone implementation of the PIBOSO\ntagger that won the ALTA2012 Shared task [1]. The features and algorithms\nused are described in [2].\n\nInstalling\n----------\nThe tagger (including a pre-trained model) is packaged as a Python module\nand distributed via pypi. Installing it should be as simple as\n\n  pip install piboso\n\nDependencies\n------------\nhydrat [3] - automatically installed by pip\nTreeTagger [4] - must be manually installed\n\nConfiguration\n-------------\nThe path to the folder in which treetagger is located must be specified\nin configuration file. When invoked, `piboso_tag` will attempt to locate\na configuration file at ~/.pibosorc and ./.pibosorc. If neither exists,\nit will generate a blank configuration file at ./.pibosorc. The path\nto treetagger should be set in this configuration file.\n\nAn alternative location for reading the configuration file can be specified\nwith the `-c` command-line option.\n\nUsing the tagger\n----------------\nThe tagger can be invoked with the script `piboso_tag`, that is automatically\ninstalled when the package is installed with pip. The simplest invocation is\n\n  piboso_tag -o <OUTPUT_PATH> <FILE TO TAG> <FILE TO TAG> ...\n\nIf no files are specified on the command line, `piboso_tag` will read STDIN\nand interpret each line as a path to a file to be tagged. More detailed \ninformation about invoking `piboso_tag` can be obtained by invoking\n\n  piboso_tag --help\n\nFiles are assumed to be sentence tokenized and presented in a sentence-per-line\nformat. The output produced by `piboso-tag` is in a CSV format, for example:\n\nsubsample/1454068-1,background\nsubsample/1454068-2,background\nsubsample/1454068-3,outcome\nsubsample/1454088-1,background\nsubsample/1454088-2,background\nsubsample/1454088-3,background\nsubsample/1454088-4,background\n\nThe first item in each record is the path of the file and the sentence number\nseparated by a dash. Sentences are enumerated from 1. The second item is the \nlabel assigned to the sentence.\n\nContact\n-------\n\nMarco Lui <mhlui@unimelb.edu.au>\n\n\n[1] http://alta.asn.au/events/sharedtask2012/ \n[2] http://aclweb.org/anthology-new/U/U12/U12-1019.pdf \n[3] http://hydrat.googlecode.com\n[4] http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/",
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        "license": "LICENSE.txt",
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        "name": "piboso",
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        "summary": "Sentence tagger for biomedical abstracts.",
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