{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:EDYGZAALX6NABC4254ITBFO6LX","short_pith_number":"pith:EDYGZAAL","schema_version":"1.0","canonical_sha256":"20f06c800bbf9a008b9aef113095de5dd45b438d12d486794c7d10e0c2e77565","source":{"kind":"arxiv","id":"1401.5696","version":1},"attestation_state":"computed","paper":{"title":"Unsupervised Methods for Determining Object and Relation Synonyms on the Web","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexander Pieter Yates, Oren Etzioni","submitted_at":"2014-01-15T05:33:07Z","abstract_excerpt":"The task of identifying synonymous relations and objects, or synonym resolution, is critical for high-quality information extraction. This paper investigates synonym resolution in the context of unsupervised information extraction, where neither hand-tagged training examples nor domain knowledge is available. The paper presents a scalable, fully-implemented system that runs in O(KN log N) time in the number of extractions, N, and the maximum number of synonyms per word, K. The system, called Resolver, introduces a probabilistic relational model for predicting whether two strings are co-referen"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1401.5696","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2014-01-15T05:33:07Z","cross_cats_sorted":[],"title_canon_sha256":"d1e0f6d5535e64c982757aeb901bee18fa59ec6b13895ae8ac77594f16d027c1","abstract_canon_sha256":"169d6eea57e739a9f7109ccf02b217d4b7f9959edf4b8570d64f225839ee05e7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:01:24.950128Z","signature_b64":"MQ9nRlhqFUnZ/vpQTzFx/nrrNKRHTKxWWtqcpkizzRYWuhsMQQRNqLIxWJZ3Pxyk9l1iWHvlZrUfjlKX111IDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20f06c800bbf9a008b9aef113095de5dd45b438d12d486794c7d10e0c2e77565","last_reissued_at":"2026-05-18T03:01:24.949432Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:01:24.949432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unsupervised Methods for Determining Object and Relation Synonyms on the Web","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexander Pieter Yates, Oren Etzioni","submitted_at":"2014-01-15T05:33:07Z","abstract_excerpt":"The task of identifying synonymous relations and objects, or synonym resolution, is critical for high-quality information extraction. This paper investigates synonym resolution in the context of unsupervised information extraction, where neither hand-tagged training examples nor domain knowledge is available. The paper presents a scalable, fully-implemented system that runs in O(KN log N) time in the number of extractions, N, and the maximum number of synonyms per word, K. The system, called Resolver, introduces a probabilistic relational model for predicting whether two strings are co-referen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.5696","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1401.5696","created_at":"2026-05-18T03:01:24.949560+00:00"},{"alias_kind":"arxiv_version","alias_value":"1401.5696v1","created_at":"2026-05-18T03:01:24.949560+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.5696","created_at":"2026-05-18T03:01:24.949560+00:00"},{"alias_kind":"pith_short_12","alias_value":"EDYGZAALX6NA","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"EDYGZAALX6NABC42","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"EDYGZAAL","created_at":"2026-05-18T12:28:25.294606+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX","json":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX.json","graph_json":"https://pith.science/api/pith-number/EDYGZAALX6NABC4254ITBFO6LX/graph.json","events_json":"https://pith.science/api/pith-number/EDYGZAALX6NABC4254ITBFO6LX/events.json","paper":"https://pith.science/paper/EDYGZAAL"},"agent_actions":{"view_html":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX","download_json":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX.json","view_paper":"https://pith.science/paper/EDYGZAAL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1401.5696&json=true","fetch_graph":"https://pith.science/api/pith-number/EDYGZAALX6NABC4254ITBFO6LX/graph.json","fetch_events":"https://pith.science/api/pith-number/EDYGZAALX6NABC4254ITBFO6LX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX/action/storage_attestation","attest_author":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX/action/author_attestation","sign_citation":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX/action/citation_signature","submit_replication":"https://pith.science/pith/EDYGZAALX6NABC4254ITBFO6LX/action/replication_record"}},"created_at":"2026-05-18T03:01:24.949560+00:00","updated_at":"2026-05-18T03:01:24.949560+00:00"}