{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3OLTGDK6BI3O64KFF3DI6DE3KS","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":"a6cf65dc3e5b2755ff289b83875b5e43e8c669680403becabf64846018858cf0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-28T19:43:57Z","title_canon_sha256":"421a50b2221bc181ac07ce1c902376abc4ec45718469489d66fb425028969846"},"schema_version":"1.0","source":{"id":"2206.14264","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.14264","created_at":"2026-07-05T04:36:02Z"},{"alias_kind":"arxiv_version","alias_value":"2206.14264v1","created_at":"2026-07-05T04:36:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.14264","created_at":"2026-07-05T04:36:02Z"},{"alias_kind":"pith_short_12","alias_value":"3OLTGDK6BI3O","created_at":"2026-07-05T04:36:02Z"},{"alias_kind":"pith_short_16","alias_value":"3OLTGDK6BI3O64KF","created_at":"2026-07-05T04:36:02Z"},{"alias_kind":"pith_short_8","alias_value":"3OLTGDK6","created_at":"2026-07-05T04:36:02Z"}],"graph_snapshots":[{"event_id":"sha256:de2352efbdaa85e5b3e0882a5c1d103ae4cab7dea8a2af82aafbac317b58b642","target":"graph","created_at":"2026-07-05T04:36:02Z","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/2206.14264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products. Although this challenge is partially addressed by a question answering (QA) approach which finds a value in product data for a given query (attribute), it does not work effectively for rare and ambiguous queries. We thus propose simple knowledge-driven query expansion based on possible answers (values) of a query (attribute) for QA-based AVE. We retrieve values of a query (attribute) from the training data to expand the query. We train a model with two t","authors_text":"Keiji Shinzato, Naoki Yoshinaga, Wei-Te Chen, Yandi Xia","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-28T19:43:57Z","title":"Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.14264","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":"sha256:1c65f818ccef79345882a8f7d86ae8b0d8b16b36adba40fd996d8e0e8e7c5ced","target":"record","created_at":"2026-07-05T04:36:02Z","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":"a6cf65dc3e5b2755ff289b83875b5e43e8c669680403becabf64846018858cf0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-06-28T19:43:57Z","title_canon_sha256":"421a50b2221bc181ac07ce1c902376abc4ec45718469489d66fb425028969846"},"schema_version":"1.0","source":{"id":"2206.14264","kind":"arxiv","version":1}},"canonical_sha256":"db97330d5e0a36ef71452ec68f0c9b549caf9e65ff198fce62a4ffb066de05ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db97330d5e0a36ef71452ec68f0c9b549caf9e65ff198fce62a4ffb066de05ce","first_computed_at":"2026-07-05T04:36:02.513377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:36:02.513377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RVddfS9thauCuWu4IoFUvz5coymnW5Akht6670Upq1zUJUfYDk3NegWvaCE+w8ed2FvDSx1SqvxpfiTO7fxmCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:36:02.513831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.14264","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c65f818ccef79345882a8f7d86ae8b0d8b16b36adba40fd996d8e0e8e7c5ced","sha256:de2352efbdaa85e5b3e0882a5c1d103ae4cab7dea8a2af82aafbac317b58b642"],"state_sha256":"19fc1a20f16d031a2829e137e8d27a4399b970021ab526684b80451f4db6ec43"}