{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/technical-report-adjudication-of-coreference","title":"Technical Report: Adjudication of Coreference Annotations via Answer Set Optimization","arxiv_id":"1802.00033","date":"2018-01-31","proceeding":null,"authors":["Peter Schüller"],"abstract":"We describe the first automatic approach for merging coreference annotations\nobtained from multiple annotators into a single gold standard. This merging is\nsubject to certain linguistic hard constraints and optimization criteria that\nprefer solutions with minimal divergence from annotators. The representation\ninvolves an equivalence relation over a large number of elements. We use Answer\nSet Programming to describe two representations of the problem and four\nobjective functions suitable for different datasets. We provide two\nstructurally different real-world benchmark datasets based on the METU-Sabanci\nTurkish Treebank and we report our experiences in using the Gringo, Clasp, and\nWasp tools for computing optimal adjudication results on these datasets.","url_abs":"http://arxiv.org/abs/1802.00033v1","url_pdf":"http://arxiv.org/pdf/1802.00033v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"technical-report-adjudication-of-coreference","repo_url":"https://bitbucket.org/knowlp/asp-coreference-benchmark","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"technical-report-adjudication-of-coreference","repo_url":"https://github.com/knowlp/caspr-coreference-tool","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}