{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7XGWRFLVYAALWC3LZWWO2I4W6P","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":"7cbad4f0e588c530e438c0a6224bed917da5e2e9660848a61e638d118b3b55d4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-09-04T13:48:27Z","title_canon_sha256":"0236fdc5073af60789b10d4f446f9c93d3d5c7604bfe39118874ffcc6347ac81"},"schema_version":"1.0","source":{"id":"1909.01800","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01800","created_at":"2026-07-05T00:02:20Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01800v1","created_at":"2026-07-05T00:02:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01800","created_at":"2026-07-05T00:02:20Z"},{"alias_kind":"pith_short_12","alias_value":"7XGWRFLVYAAL","created_at":"2026-07-05T00:02:20Z"},{"alias_kind":"pith_short_16","alias_value":"7XGWRFLVYAALWC3L","created_at":"2026-07-05T00:02:20Z"},{"alias_kind":"pith_short_8","alias_value":"7XGWRFLV","created_at":"2026-07-05T00:02:20Z"}],"graph_snapshots":[{"event_id":"sha256:7ac87397954e86b5e9cf31a01451b78b168d15691256ec216ed4a10fa7fc09e6","target":"graph","created_at":"2026-07-05T00:02:20Z","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/1909.01800/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel approach to generate aspect hierarchies that proved to be consistently correct compared with human-generated hierarchies. We present an unsupervised technique using Rhetorical Structure Theory and graph analysis. We evaluated our approach based on 100,000 reviews from Amazon and achieved an astonishing 80% coverage compared with human-generated hierarchies coded in ConceptNet. The method could be easily extended with a sentiment analysis model and used to describe sentiment on different levels of aspect granularity. Hence, besides the flat aspect structure, we can differenti","authors_text":"{\\L}ukasz Augustyniak, Przemys{\\l}aw Kazienko, Tomasz Kajdanowicz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-09-04T13:48:27Z","title":"Extracting Aspects Hierarchies using Rhetorical Structure Theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01800","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":"sha256:01c366de42b43a51c4842726632cd8dc8e01d819444b7e5cd0fe8fd1fb1bdec7","target":"record","created_at":"2026-07-05T00:02:20Z","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":"7cbad4f0e588c530e438c0a6224bed917da5e2e9660848a61e638d118b3b55d4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-09-04T13:48:27Z","title_canon_sha256":"0236fdc5073af60789b10d4f446f9c93d3d5c7604bfe39118874ffcc6347ac81"},"schema_version":"1.0","source":{"id":"1909.01800","kind":"arxiv","version":1}},"canonical_sha256":"fdcd689575c000bb0b6bcdaced2396f3d18bf686837b0a6b1c364c0a608b293d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdcd689575c000bb0b6bcdaced2396f3d18bf686837b0a6b1c364c0a608b293d","first_computed_at":"2026-07-05T00:02:20.063966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:02:20.063966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e1M1/4PN//Yp4DvZRzrg957MRYEpJBULuoVgBosUB2A0DnijFCuSXrx63fEb/IH2yu/aMfA30yaVokb3p2WYCA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:02:20.064397Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.01800","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01c366de42b43a51c4842726632cd8dc8e01d819444b7e5cd0fe8fd1fb1bdec7","sha256:7ac87397954e86b5e9cf31a01451b78b168d15691256ec216ed4a10fa7fc09e6"],"state_sha256":"994fa4934bd128d72288ebf8de390729bd989e05f5ce61fd2fd716e0972fbaa9"}