{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:P6T2ZUMNDFLBR4BQQVIAM475VG","short_pith_number":"pith:P6T2ZUMN","schema_version":"1.0","canonical_sha256":"7fa7acd18d195618f03085500673fda9ad3e56232696810e2ede7d729d5b43cb","source":{"kind":"arxiv","id":"1704.07751","version":1},"attestation_state":"computed","paper":{"title":"Fine-Grained Entity Typing with High-Multiplicity Assignments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.LG","stat.ML"],"primary_cat":"cs.CL","authors_text":"Dan Klein, Maxim Rabinovich","submitted_at":"2017-04-25T15:52:52Z","abstract_excerpt":"As entity type systems become richer and more fine-grained, we expect the number of types assigned to a given entity to increase. However, most fine-grained typing work has focused on datasets that exhibit a low degree of type multiplicity. In this paper, we consider the high-multiplicity regime inherent in data sources such as Wikipedia that have semi-open type systems. We introduce a set-prediction approach to this problem and show that our model outperforms unstructured baselines on a new Wikipedia-based fine-grained typing corpus."},"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":"1704.07751","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-25T15:52:52Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG","stat.ML"],"title_canon_sha256":"ead98b2301457604a236e4820b15f9acb0ff8d20167ab11904ebd17554e43683","abstract_canon_sha256":"bc6573e487f6d66caa3fb34f959141e76cd5fd128c0b39f155249a2d3870e0da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:37.058162Z","signature_b64":"b5uL6TD16oFK32/MqIlHl0exIHrq/FLTNbVoQtfX+oC91I+Yf3ZSMttTc1DSol4BbJMmMN/jtaBvBrnjlFCXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fa7acd18d195618f03085500673fda9ad3e56232696810e2ede7d729d5b43cb","last_reissued_at":"2026-05-18T00:45:37.056936Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:37.056936Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fine-Grained Entity Typing with High-Multiplicity Assignments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.LG","stat.ML"],"primary_cat":"cs.CL","authors_text":"Dan Klein, Maxim Rabinovich","submitted_at":"2017-04-25T15:52:52Z","abstract_excerpt":"As entity type systems become richer and more fine-grained, we expect the number of types assigned to a given entity to increase. However, most fine-grained typing work has focused on datasets that exhibit a low degree of type multiplicity. In this paper, we consider the high-multiplicity regime inherent in data sources such as Wikipedia that have semi-open type systems. We introduce a set-prediction approach to this problem and show that our model outperforms unstructured baselines on a new Wikipedia-based fine-grained typing corpus."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.07751","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":"1704.07751","created_at":"2026-05-18T00:45:37.057494+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.07751v1","created_at":"2026-05-18T00:45:37.057494+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.07751","created_at":"2026-05-18T00:45:37.057494+00:00"},{"alias_kind":"pith_short_12","alias_value":"P6T2ZUMNDFLB","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"P6T2ZUMNDFLBR4BQ","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"P6T2ZUMN","created_at":"2026-05-18T12:31:37.085036+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/P6T2ZUMNDFLBR4BQQVIAM475VG","json":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG.json","graph_json":"https://pith.science/api/pith-number/P6T2ZUMNDFLBR4BQQVIAM475VG/graph.json","events_json":"https://pith.science/api/pith-number/P6T2ZUMNDFLBR4BQQVIAM475VG/events.json","paper":"https://pith.science/paper/P6T2ZUMN"},"agent_actions":{"view_html":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG","download_json":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG.json","view_paper":"https://pith.science/paper/P6T2ZUMN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.07751&json=true","fetch_graph":"https://pith.science/api/pith-number/P6T2ZUMNDFLBR4BQQVIAM475VG/graph.json","fetch_events":"https://pith.science/api/pith-number/P6T2ZUMNDFLBR4BQQVIAM475VG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG/action/storage_attestation","attest_author":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG/action/author_attestation","sign_citation":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG/action/citation_signature","submit_replication":"https://pith.science/pith/P6T2ZUMNDFLBR4BQQVIAM475VG/action/replication_record"}},"created_at":"2026-05-18T00:45:37.057494+00:00","updated_at":"2026-05-18T00:45:37.057494+00:00"}