{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:QGWGA2QLRHSUKZ3H4BWR2GYZAZ","short_pith_number":"pith:QGWGA2QL","schema_version":"1.0","canonical_sha256":"81ac606a0b89e5456767e06d1d1b19065e15fe515472334fe7375454cfd9fceb","source":{"kind":"arxiv","id":"2112.09488","version":1},"attestation_state":"computed","paper":{"title":"Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duc-Vu Nguyen, Kiet Van Nguyen, Linh-Bao Vo, Ngan Luu-Thuy Nguyen, Ngoc-Linh Tran","submitted_at":"2021-12-17T12:59:02Z","abstract_excerpt":"Chinese word segmentation and part-of-speech tagging are necessary tasks in terms of computational linguistics and application of natural language processing. Many re-searchers still debate the demand for Chinese word segmentation and part-of-speech tagging in the deep learning era. Nevertheless, resolving ambiguities and detecting unknown words are challenging problems in this field. Previous studies on joint Chinese word segmentation and part-of-speech tagging mainly follow the character-based tagging model focusing on modeling n-gram features. Unlike previous works, we propose a neural mode"},"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":"2112.09488","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-17T12:59:02Z","cross_cats_sorted":[],"title_canon_sha256":"f09b4669294120212104975b264e1c46aa4e9c12f816b3f8d5c51730bfbe0770","abstract_canon_sha256":"2e69ee0e1ca31b4f8bf4786837e5f97947cd6fd6c080fdb93a6c35c562eb3487"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:41:46.839644Z","signature_b64":"TB/sCn/lWe/wgqB5kVzCaxABGfWyK6RYph1dTKxRdECj7DkVxhrewIe2Mgc0vGCRUcdEh/gAbNVq9iFozdW5Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81ac606a0b89e5456767e06d1d1b19065e15fe515472334fe7375454cfd9fceb","last_reissued_at":"2026-07-05T03:41:46.839276Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:41:46.839276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duc-Vu Nguyen, Kiet Van Nguyen, Linh-Bao Vo, Ngan Luu-Thuy Nguyen, Ngoc-Linh Tran","submitted_at":"2021-12-17T12:59:02Z","abstract_excerpt":"Chinese word segmentation and part-of-speech tagging are necessary tasks in terms of computational linguistics and application of natural language processing. Many re-searchers still debate the demand for Chinese word segmentation and part-of-speech tagging in the deep learning era. Nevertheless, resolving ambiguities and detecting unknown words are challenging problems in this field. Previous studies on joint Chinese word segmentation and part-of-speech tagging mainly follow the character-based tagging model focusing on modeling n-gram features. Unlike previous works, we propose a neural mode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.09488","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2112.09488/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2112.09488","created_at":"2026-07-05T03:41:46.839340+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.09488v1","created_at":"2026-07-05T03:41:46.839340+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.09488","created_at":"2026-07-05T03:41:46.839340+00:00"},{"alias_kind":"pith_short_12","alias_value":"QGWGA2QLRHSU","created_at":"2026-07-05T03:41:46.839340+00:00"},{"alias_kind":"pith_short_16","alias_value":"QGWGA2QLRHSUKZ3H","created_at":"2026-07-05T03:41:46.839340+00:00"},{"alias_kind":"pith_short_8","alias_value":"QGWGA2QL","created_at":"2026-07-05T03:41:46.839340+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/QGWGA2QLRHSUKZ3H4BWR2GYZAZ","json":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ.json","graph_json":"https://pith.science/api/pith-number/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/graph.json","events_json":"https://pith.science/api/pith-number/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/events.json","paper":"https://pith.science/paper/QGWGA2QL"},"agent_actions":{"view_html":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ","download_json":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ.json","view_paper":"https://pith.science/paper/QGWGA2QL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.09488&json=true","fetch_graph":"https://pith.science/api/pith-number/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/graph.json","fetch_events":"https://pith.science/api/pith-number/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/action/storage_attestation","attest_author":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/action/author_attestation","sign_citation":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/action/citation_signature","submit_replication":"https://pith.science/pith/QGWGA2QLRHSUKZ3H4BWR2GYZAZ/action/replication_record"}},"created_at":"2026-07-05T03:41:46.839340+00:00","updated_at":"2026-07-05T03:41:46.839340+00:00"}