{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HRJ6MLEPBD25LGZ6EYQKKNBCL2","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":"d158d34032f07d0e2a8c200be7b2039877aa3f2c3b6d26762700fdee5ddf07b3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-07-02T09:33:36Z","title_canon_sha256":"231de1c760c803831f6fab826d3660110b30921c09364b9eea3d6156a4eab93c"},"schema_version":"1.0","source":{"id":"1907.01256","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.01256","created_at":"2026-05-17T23:41:40Z"},{"alias_kind":"arxiv_version","alias_value":"1907.01256v1","created_at":"2026-05-17T23:41:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.01256","created_at":"2026-05-17T23:41:40Z"},{"alias_kind":"pith_short_12","alias_value":"HRJ6MLEPBD25","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HRJ6MLEPBD25LGZ6","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HRJ6MLEP","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:84a0643b258128bba7d0c759b11d05ee07994d485f1c2be09bdc3868feceaab2","target":"graph","created_at":"2026-05-17T23:41:40Z","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":"Grammatical error correction can be viewed as a low-resource sequence-to-sequence task, because publicly available parallel corpora are limited. To tackle this challenge, we first generate erroneous versions of large unannotated corpora using a realistic noising function. The resulting parallel corpora are subsequently used to pre-train Transformer models. Then, by sequentially applying transfer learning, we adapt these models to the domain and style of the test set. Combined with a context-aware neural spellchecker, our system achieves competitive results in both restricted and low resource t","authors_text":"Jiyeon Ham, Kyubyong Park, Yeoil Yoon, Yo Joong Choe","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-07-02T09:33:36Z","title":"A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.01256","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":"sha256:438c6b96381455518a69ced68e3a559508c9f0fb906124800b3d96e19cce0999","target":"record","created_at":"2026-05-17T23:41:40Z","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":"d158d34032f07d0e2a8c200be7b2039877aa3f2c3b6d26762700fdee5ddf07b3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-07-02T09:33:36Z","title_canon_sha256":"231de1c760c803831f6fab826d3660110b30921c09364b9eea3d6156a4eab93c"},"schema_version":"1.0","source":{"id":"1907.01256","kind":"arxiv","version":1}},"canonical_sha256":"3c53e62c8f08f5d59b3e2620a534225ea1662273163a0a51795d3ec8db2f4947","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c53e62c8f08f5d59b3e2620a534225ea1662273163a0a51795d3ec8db2f4947","first_computed_at":"2026-05-17T23:41:40.844920Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:40.844920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fEqgOgSF2q31x7/jKluTFa0M3RpN64RbEr7uCqmYwhp23OwEKtyNSSBSWQ5oZBWGzsoJCMGVHJzXXrCh7VdLDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:40.845443Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.01256","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:438c6b96381455518a69ced68e3a559508c9f0fb906124800b3d96e19cce0999","sha256:84a0643b258128bba7d0c759b11d05ee07994d485f1c2be09bdc3868feceaab2"],"state_sha256":"ad9b558c2dad293007dd38a04b5969f6cbbc09d2abe27cfa62307ce2c3746938"}