{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QICG54DNVIJTUWUDEF74UP6FMM","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":"b31cdf5a928ba874f40ecad2ec6efd3ee8c7da4cb614e4e1c8d281474774ef09","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-16T13:35:24Z","title_canon_sha256":"3fda6215d0d8a076fc4e6a8a9462bcf0cb521466f4e1fa700f38f36028e2dcfe"},"schema_version":"1.0","source":{"id":"1908.05969","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05969","created_at":"2026-07-05T01:42:52Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05969v2","created_at":"2026-07-05T01:42:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05969","created_at":"2026-07-05T01:42:52Z"},{"alias_kind":"pith_short_12","alias_value":"QICG54DNVIJT","created_at":"2026-07-05T01:42:52Z"},{"alias_kind":"pith_short_16","alias_value":"QICG54DNVIJTUWUD","created_at":"2026-07-05T01:42:52Z"},{"alias_kind":"pith_short_8","alias_value":"QICG54DN","created_at":"2026-07-05T01:42:52Z"}],"graph_snapshots":[{"event_id":"sha256:ee3a1ec12e4a0c8e215d12036915afa96e0c7f5ba3148dbdad44fb52b9586a29","target":"graph","created_at":"2026-07-05T01:42:52Z","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/1908.05969/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, many works have tried to augment the performance of Chinese named entity recognition (NER) using word lexicons. As a representative, Lattice-LSTM (Zhang and Yang, 2018) has achieved new benchmark results on several public Chinese NER datasets. However, Lattice-LSTM has a complex model architecture. This limits its application in many industrial areas where real-time NER responses are needed.\n  In this work, we propose a simple but effective method for incorporating the word lexicon into the character representations. This method avoids designing a complicated sequence modeling archit","authors_text":"Minlong Peng, Qi Zhang, Ruotian Ma, Xuanjing Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-16T13:35:24Z","title":"Simplify the Usage of Lexicon in Chinese NER"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05969","kind":"arxiv","version":2},"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:d5c4db07098f5e768beb385896e55a6da50a7d2c5e3f70de4b7d5b222f15c0d5","target":"record","created_at":"2026-07-05T01:42:52Z","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":"b31cdf5a928ba874f40ecad2ec6efd3ee8c7da4cb614e4e1c8d281474774ef09","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-16T13:35:24Z","title_canon_sha256":"3fda6215d0d8a076fc4e6a8a9462bcf0cb521466f4e1fa700f38f36028e2dcfe"},"schema_version":"1.0","source":{"id":"1908.05969","kind":"arxiv","version":2}},"canonical_sha256":"82046ef06daa133a5a83217fca3fc5630da37188acbbf8081cbc34ea54e7ed4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82046ef06daa133a5a83217fca3fc5630da37188acbbf8081cbc34ea54e7ed4b","first_computed_at":"2026-07-05T01:42:52.184829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:42:52.184829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vAQpz703XgTrYLuw0MVQFvSTN5moy249AmYPxy6ovYN3u8W1bmUy6AgOycBOqPDCaUilTa6PgbTOuSdCdK/fDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:42:52.185239Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05969","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5c4db07098f5e768beb385896e55a6da50a7d2c5e3f70de4b7d5b222f15c0d5","sha256:ee3a1ec12e4a0c8e215d12036915afa96e0c7f5ba3148dbdad44fb52b9586a29"],"state_sha256":"f307ed3d3e94380d285674d01c2418ab23993a3693d61a72ab69939d3386c516"}