{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6MU4NU5P4IR5Q2NUFYE6FIO5BZ","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":"f9aad815a4d0ea0e134f602e29f454143335be22ea675bff6b84abafda7ccd15","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-03T13:03:17Z","title_canon_sha256":"0203cc8a0851730bbb9d7e4e066d3e86fd081ae530fe63f4d1e6562c6dd014f0"},"schema_version":"1.0","source":{"id":"2111.02194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.02194","created_at":"2026-07-05T03:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"2111.02194v1","created_at":"2026-07-05T03:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.02194","created_at":"2026-07-05T03:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"6MU4NU5P4IR5","created_at":"2026-07-05T03:28:48Z"},{"alias_kind":"pith_short_16","alias_value":"6MU4NU5P4IR5Q2NU","created_at":"2026-07-05T03:28:48Z"},{"alias_kind":"pith_short_8","alias_value":"6MU4NU5P","created_at":"2026-07-05T03:28:48Z"}],"graph_snapshots":[{"event_id":"sha256:55f6cb4a85a7fbc1d8d5fddb75908fee8312624331a7b1066cac8ca1819392b1","target":"graph","created_at":"2026-07-05T03:28:48Z","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/2111.02194/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sentiment orientation, which is known as implicit sentiment. However, recent neural network-based approaches paid little attention to implicit sentiment entailed in the reviews. To overcome this issue, we adopt Supervised Contrastive Pre-training on large-scale sentiment-annotated corpora retrieved from in-domain language resources. By aligning the representation of implicit ","authors_text":"Chong Zhang, Qi Zhang, Yicheng Zou, Zhengyan Li, Zhongyu Wei","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-03T13:03:17Z","title":"Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.02194","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":"sha256:72586952ee39ff4cae41d411d2552ee205a8df387189a89e97f302439673b579","target":"record","created_at":"2026-07-05T03:28:48Z","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":"f9aad815a4d0ea0e134f602e29f454143335be22ea675bff6b84abafda7ccd15","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-11-03T13:03:17Z","title_canon_sha256":"0203cc8a0851730bbb9d7e4e066d3e86fd081ae530fe63f4d1e6562c6dd014f0"},"schema_version":"1.0","source":{"id":"2111.02194","kind":"arxiv","version":1}},"canonical_sha256":"f329c6d3afe223d869b42e09e2a1dd0e61cca42f7a0414c4c1aec5fe82131a6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f329c6d3afe223d869b42e09e2a1dd0e61cca42f7a0414c4c1aec5fe82131a6f","first_computed_at":"2026-07-05T03:28:48.373032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:28:48.373032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"57jVzDecPiX+haSwlcjNAYToCqOk/F47F4pvr2BBcwzWNxmbwFiNjheha1MtevGjWVY0xIekksZu+cEQTxo7Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:28:48.373555Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.02194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72586952ee39ff4cae41d411d2552ee205a8df387189a89e97f302439673b579","sha256:55f6cb4a85a7fbc1d8d5fddb75908fee8312624331a7b1066cac8ca1819392b1"],"state_sha256":"c5fdbaad430fb0614e74ff7e546919f40a84bf04f94f291bae089fd2e755bc93"}