{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GYAH42YNDDGHS6WPD2QOT2DBXG","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":"b3411609a9b0bc186e94888fe8bf8aecf18601e90b6b07ae6cc6068d2077bf96","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-04-23T19:18:26Z","title_canon_sha256":"f5736cda305e4e38cb9323cde22673ef98ea4c4dd8d3e0141bb098bc291cc227"},"schema_version":"1.0","source":{"id":"1904.10503","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.10503","created_at":"2026-05-17T23:47:53Z"},{"alias_kind":"arxiv_version","alias_value":"1904.10503v1","created_at":"2026-05-17T23:47:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.10503","created_at":"2026-05-17T23:47:53Z"},{"alias_kind":"pith_short_12","alias_value":"GYAH42YNDDGH","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GYAH42YNDDGHS6WP","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GYAH42YN","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:ab97b5e250f0c8f23d394fa7351d16f4c4e92ead6a41ed6ff1e4671eb3748eb9","target":"graph","created_at":"2026-05-17T23:47:53Z","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"},"paper":{"abstract_excerpt":"Fine-grained Named Entity Recognition is a task whereby we detect and classify entity mentions to a large set of types. These types can span diverse domains such as finance, healthcare, and politics. We observe that when the type set spans several domains the accuracy of the entity detection becomes a limitation for supervised learning models. The primary reason being the lack of datasets where entity boundaries are properly annotated, whilst covering a large spectrum of entity types. Furthermore, many named entity systems suffer when considering the categorization of fine grained entity types","authors_text":"Adam Gara, Aimore Dutra, Alfredo Gemma, Cihan Dogan, Ella Walters, Lei Shi, Michael Sigamani","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-04-23T19:18:26Z","title":"Fine-Grained Named Entity Recognition using ELMo and Wikidata"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.10503","kind":"arxiv","version":1},"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":"sha256:0f0a86fb5bf4a1082feab0381fc978796dc411750da87f510910f8f80803f725","target":"record","created_at":"2026-05-17T23:47:53Z","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":"b3411609a9b0bc186e94888fe8bf8aecf18601e90b6b07ae6cc6068d2077bf96","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-04-23T19:18:26Z","title_canon_sha256":"f5736cda305e4e38cb9323cde22673ef98ea4c4dd8d3e0141bb098bc291cc227"},"schema_version":"1.0","source":{"id":"1904.10503","kind":"arxiv","version":1}},"canonical_sha256":"36007e6b0d18cc797acf1ea0e9e861b9bc82a800f24a40be56edc0d02125739e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36007e6b0d18cc797acf1ea0e9e861b9bc82a800f24a40be56edc0d02125739e","first_computed_at":"2026-05-17T23:47:53.533060Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:53.533060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l3H+l/QGCoidehCapQm3EhA3TVmkdX9HzI5H/HSmSk1r3cdKzYWiiTSctyMBUCdfEMT0sfobfvzyS/d6TyHHDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:53.533560Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.10503","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f0a86fb5bf4a1082feab0381fc978796dc411750da87f510910f8f80803f725","sha256:ab97b5e250f0c8f23d394fa7351d16f4c4e92ead6a41ed6ff1e4671eb3748eb9"],"state_sha256":"1d02424fbe32f1200d4d047dcbb528c06feb91c9f69183cfc3f96066aeece203"}