{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3PD4RW3PAO6UHALLSLDM722WPI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"253541ba67a2a840d5191b84925643e1e0234fc2081abcc6af772823d4fff90a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-14T11:44:33Z","title_canon_sha256":"ac9ed25da88b52bfa69d8d3f1af33721df10b08bd318a50c6e7b15e73c8b2e59"},"schema_version":"1.0","source":{"id":"1905.05529","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.05529","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"arxiv_version","alias_value":"1905.05529v4","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.05529","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_12","alias_value":"3PD4RW3PAO6U","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_16","alias_value":"3PD4RW3PAO6UHALL","created_at":"2026-07-05T00:02:13Z"},{"alias_kind":"pith_short_8","alias_value":"3PD4RW3P","created_at":"2026-07-05T00:02:13Z"}],"graph_snapshots":[{"event_id":"sha256:dd9b842867a3b97e3c0de7a8f06993ed44a615f7ed3995f9d736b0238931cdb2","target":"graph","created_at":"2026-07-05T00:02:13Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1905.05529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.e., the extraction of entities and relations is transformed to the task of identifying answer spans from the context. This multi-turn QA formalization comes with several key advantages: firstly, the question query encodes important information for the entity/relation class we want to identify; secondly, QA provides a natural way of jointly modeling entity and relation; and thirdly, it allows us to exploit the well developed machine reading comprehe","authors_text":"Arianna Yuan, Duo Chai, Fan Yin, Jiwei Li, Mingxin Zhou, Xiaoya Li, Xiayu Li, Zijun Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-14T11:44:33Z","title":"Entity-Relation Extraction as Multi-Turn Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.05529","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3bdf0aea5107e6fc4c6b4e0533093e779ed69bf0050afb0688f53bd2d1fa062d","target":"record","created_at":"2026-07-05T00:02:13Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"253541ba67a2a840d5191b84925643e1e0234fc2081abcc6af772823d4fff90a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-14T11:44:33Z","title_canon_sha256":"ac9ed25da88b52bfa69d8d3f1af33721df10b08bd318a50c6e7b15e73c8b2e59"},"schema_version":"1.0","source":{"id":"1905.05529","kind":"arxiv","version":4}},"canonical_sha256":"dbc7c8db6f03bd43816b92c6cfeb567a38f548efb6fe8a3ae63ad28728e91d8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbc7c8db6f03bd43816b92c6cfeb567a38f548efb6fe8a3ae63ad28728e91d8f","first_computed_at":"2026-07-05T00:02:13.401264Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:02:13.401264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z6xEWXzyV5oZaRiSPhjXMp6nI5vh0T5lKe02nYbFxhiNTghEldPMz1B92t0+Ctf7XQUwVKknJDTuV0uthXQCCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:02:13.401845Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.05529","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3bdf0aea5107e6fc4c6b4e0533093e779ed69bf0050afb0688f53bd2d1fa062d","sha256:dd9b842867a3b97e3c0de7a8f06993ed44a615f7ed3995f9d736b0238931cdb2"],"state_sha256":"ec666473a5da10cf2ca62da80d2577105729c12934e9563cef9b043c9679058a"}