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Contents

  • 2 Datasets (21 + 33 instances) for coreference adjudication (see JETAI paper).

  • ASP Encodings of experiments submitted to LPNMR 2017.

Citation

  • Peter Schüller. Adjudication of Coreference Annotations via Answer Set Optimization. Journal of Experimental & Theoretical Artificial Intelligence, 2018. In press, arXiv:1802.00033.

Other References

  • Peter Schüller. Adjudication of Coreference Annotations via Answer Set Optimization. In: Logic Programming and Nonmonotonic Reasoning (LPNMR), pages 343-357, 2017.

Detailed Contents

  • encodings/core

Core encodings without objectives.

  • encodings/objectives

Objective functions, intended to be used together with encodings.

  • dataset1/ and dataset2/

Datasets, given anonymized as set of ASP facts.

License

Automatic Coreference Adjudication based on Answer Set Programming Copyright (C) 2015-2017 Peter Schüller schueller.p@gmail.com

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.