{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:DWJFRI6HNPZX2FPMWNWYQ6JNVV","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":"af0b19d58e1b8f27b88cfafa973f57f172b6c8613dc6c26f5b9ba72c0b95469d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-28T07:46:50Z","title_canon_sha256":"b3bb9e8143323cc102cd63d38309915be8c54d1dc10d06a0a20324ebf1073da1"},"schema_version":"1.0","source":{"id":"1905.11658","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.11658","created_at":"2026-07-05T00:07:23Z"},{"alias_kind":"arxiv_version","alias_value":"1905.11658v3","created_at":"2026-07-05T00:07:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.11658","created_at":"2026-07-05T00:07:23Z"},{"alias_kind":"pith_short_12","alias_value":"DWJFRI6HNPZX","created_at":"2026-07-05T00:07:23Z"},{"alias_kind":"pith_short_16","alias_value":"DWJFRI6HNPZX2FPM","created_at":"2026-07-05T00:07:23Z"},{"alias_kind":"pith_short_8","alias_value":"DWJFRI6H","created_at":"2026-07-05T00:07:23Z"}],"graph_snapshots":[{"event_id":"sha256:61a635b0f291e09f92a9cbe84de275793f72fe9ed1898f37093078b21789e080","target":"graph","created_at":"2026-07-05T00:07:23Z","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/1905.11658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we aim at tackling a general issue in NLP tasks where some of the negative examples are highly similar to the positive examples, i.e., hard-negative examples. We propose the distant supervision as a regularizer (DSReg) approach to tackle this issue. The original task is converted to a multi-task learning problem, in which distant supervision is used to retrieve hard-negative examples. The obtained hard-negative examples are then used as a regularizer. The original target objective of distinguishing positive examples from negative examples is jointly optimized with the auxiliary ","authors_text":"Jiwei Li, Muyu Li, Wei Wu, Xiaoya Li, Yuxian Meng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-28T07:46:50Z","title":"DSReg: Using Distant Supervision as a Regularizer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.11658","kind":"arxiv","version":3},"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:a3b32ae9295ee6fd1491daaded3bc4015c3eb3d698ab48bad6705202663bea81","target":"record","created_at":"2026-07-05T00:07:23Z","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":"af0b19d58e1b8f27b88cfafa973f57f172b6c8613dc6c26f5b9ba72c0b95469d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-28T07:46:50Z","title_canon_sha256":"b3bb9e8143323cc102cd63d38309915be8c54d1dc10d06a0a20324ebf1073da1"},"schema_version":"1.0","source":{"id":"1905.11658","kind":"arxiv","version":3}},"canonical_sha256":"1d9258a3c76bf37d15ecb36d88792dad57b4725329906f58eacb524402c3c8bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d9258a3c76bf37d15ecb36d88792dad57b4725329906f58eacb524402c3c8bb","first_computed_at":"2026-07-05T00:07:23.509351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:07:23.509351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pFqY7WUa8/2gYnHpZEwFgSDqHOsMoYkhzVv4zp9pZMkf3S44hhk9mB4nOjBJfwbvLTfD2o/Y88Lz+nXBIOUHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:07:23.509822Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.11658","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3b32ae9295ee6fd1491daaded3bc4015c3eb3d698ab48bad6705202663bea81","sha256:61a635b0f291e09f92a9cbe84de275793f72fe9ed1898f37093078b21789e080"],"state_sha256":"658565f261b91f29dfecb04c0db1018e1ee2a5e0d15b6b5700a5f0219b8d423c"}