{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6IADLNR3WGFEATRHL7XHNNEOKF","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":"d3efa6ae340812e6d2490494c2a2bcd416720f0ae26a1bcdd0500d44b316733f","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","title_canon_sha256":"611cfc08a0db94730f022c8fa2d490b66d09fcae1d8bb28b40c89c22a589c6d9"},"schema_version":"1.0","source":{"id":"2104.04697","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.04697","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"arxiv_version","alias_value":"2104.04697v1","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.04697","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_12","alias_value":"6IADLNR3WGFE","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"6IADLNR3WGFEATRH","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"6IADLNR3","created_at":"2026-07-05T02:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:9339514f18d185830d0aceb3568dd8c57a84309ee75674817a4b96a2db294aa9","target":"graph","created_at":"2026-07-05T02:30:46Z","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/2104.04697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict unseen relations that cannot be observed at the training stage. In this paper, we formulate the zero-shot relation extraction problem by incorporating the text description of seen and unseen relations. We propose a novel multi-task learning model, zero-shot BERT (ZS-BERT), to directly predict unseen relations without hand-crafted attribute labeling and multiple pairwise classifications. Given training instances cons","authors_text":"Cheng-Te Li, Chih-Yao Chen","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","title":"ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.04697","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:c303ac5bf0e0cd803ffe22eea6acf1330a0981aec0c124520c3c9e7fb0d650d8","target":"record","created_at":"2026-07-05T02:30:46Z","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":"d3efa6ae340812e6d2490494c2a2bcd416720f0ae26a1bcdd0500d44b316733f","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","title_canon_sha256":"611cfc08a0db94730f022c8fa2d490b66d09fcae1d8bb28b40c89c22a589c6d9"},"schema_version":"1.0","source":{"id":"2104.04697","kind":"arxiv","version":1}},"canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","first_computed_at":"2026-07-05T02:30:46.552767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:30:46.552767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c8xlpMBJhr1OaHAH6A1Ju4wGtXgNe6J5L0tt7KXpXNIkzoXvdImJ7p8tpVVm7ZzcfdL2VU8c23tdop9VDvJBAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:30:46.553171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.04697","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c303ac5bf0e0cd803ffe22eea6acf1330a0981aec0c124520c3c9e7fb0d650d8","sha256:9339514f18d185830d0aceb3568dd8c57a84309ee75674817a4b96a2db294aa9"],"state_sha256":"8b0445e626370bdef53956f8775aae1f9c71a79f5898d79a7e2c0110f64f44bf"}