{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WVMTO7AMK6IOJGY54PGSKS6ML7","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":"191bb7b5ab51ce7b64db30fce409f03ad38e4f45f6d6987ccb1c1500d21aee2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-12-27T14:49:02Z","title_canon_sha256":"13471b426596e06462d246ea72f879c672e909bb805ba9d95272ab87fc012f34"},"schema_version":"1.0","source":{"id":"1812.10735","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10735","created_at":"2026-07-04T23:58:56Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10735v2","created_at":"2026-07-04T23:58:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10735","created_at":"2026-07-04T23:58:56Z"},{"alias_kind":"pith_short_12","alias_value":"WVMTO7AMK6IO","created_at":"2026-07-04T23:58:56Z"},{"alias_kind":"pith_short_16","alias_value":"WVMTO7AMK6IOJGY5","created_at":"2026-07-04T23:58:56Z"},{"alias_kind":"pith_short_8","alias_value":"WVMTO7AM","created_at":"2026-07-04T23:58:56Z"}],"graph_snapshots":[{"event_id":"sha256:b7be168e60e51409feba17fb1247ada477ee43257353caa20c600a7cd9b2d563","target":"graph","created_at":"2026-07-04T23:58:56Z","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/1812.10735/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aspect level sentiment classification is a fine-grained sentiment analysis task. To detect the sentiment towards a particular aspect in a sentence, previous studies have developed various attention-based methods for generating aspect-specific sentence representations. However, the attention may inherently introduce noise and downgrade the performance. In this paper, we propose constrained attention networks (CAN), a simple yet effective solution, to regularize the attention for multi-aspect sentiment analysis, which alleviates the drawback of the attention mechanism. Specifically, we introduce","authors_text":"Keke Cai, Li Zhang, Mengting Hu, Renhong Cheng, Shiwan Zhao, Xiaowei Shen, Zhong Su","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-12-27T14:49:02Z","title":"CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10735","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:cf950aa81ce4cac4f0525caf71f263e6b82d56b986f4ba4d95f143434cba6427","target":"record","created_at":"2026-07-04T23:58:56Z","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":"191bb7b5ab51ce7b64db30fce409f03ad38e4f45f6d6987ccb1c1500d21aee2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-12-27T14:49:02Z","title_canon_sha256":"13471b426596e06462d246ea72f879c672e909bb805ba9d95272ab87fc012f34"},"schema_version":"1.0","source":{"id":"1812.10735","kind":"arxiv","version":2}},"canonical_sha256":"b559377c0c5790e49b1de3cd254bcc5fc2c3a774eaf1b8a0fd6cc1d3875c1259","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b559377c0c5790e49b1de3cd254bcc5fc2c3a774eaf1b8a0fd6cc1d3875c1259","first_computed_at":"2026-07-04T23:58:56.449498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:58:56.449498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zbd8h04OVobd772Ou34gnLlHRuMIt1My4V/I3Z5ZaVNcUl79LrICl3XtYRC+hqomBH6F8+VgQ1F9N8wnbxKnAQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:58:56.449923Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.10735","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf950aa81ce4cac4f0525caf71f263e6b82d56b986f4ba4d95f143434cba6427","sha256:b7be168e60e51409feba17fb1247ada477ee43257353caa20c600a7cd9b2d563"],"state_sha256":"ae3d24e5a9b155093e9c78b6b154b04d56214b115093290816997b93960d556a"}