{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:QCFOBFQUNAYRPI3ANINGV365CZ","short_pith_number":"pith:QCFOBFQU","schema_version":"1.0","canonical_sha256":"808ae09614683117a3606a1a6aefdd16496da1e09ce767dc8093ca86c768b17d","source":{"kind":"arxiv","id":"1905.06407","version":2},"attestation_state":"computed","paper":{"title":"Controlled CNN-based Sequence Labeling for Aspect Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Bing Liu, Hu Xu, Lei Shu","submitted_at":"2019-05-15T19:28:10Z","abstract_excerpt":"One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using a modified CNN called controlled CNN (Ctrl). The modified CNN has two types of control modules. Through asynchronous parameter updating, it prevents over-fitting and boosts CNN's performance significantly. This model achieves state-of-the-art results on standard aspect extraction datasets. To the best of our knowledge, this is the first paper to apply control modules to aspect extraction."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1905.06407","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-05-15T19:28:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"38787ac2bb6786030b1916f106052624146538b196f7d8daafc6fd0095732459","abstract_canon_sha256":"cb52f538e159c74c6b6d6be021aeaab92589fe6721828078c286c27925d20b88"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:42.177236Z","signature_b64":"1HwcKpa8BQAeEjvnaiG+O4AxDvoIzVN3wCaQOtc+lhWZfPbD6fSzi+pL+0IOszD5CewbYmRFkjreLCBleIz1DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"808ae09614683117a3606a1a6aefdd16496da1e09ce767dc8093ca86c768b17d","last_reissued_at":"2026-05-17T23:44:42.176533Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:42.176533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Controlled CNN-based Sequence Labeling for Aspect Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Bing Liu, Hu Xu, Lei Shu","submitted_at":"2019-05-15T19:28:10Z","abstract_excerpt":"One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using a modified CNN called controlled CNN (Ctrl). The modified CNN has two types of control modules. Through asynchronous parameter updating, it prevents over-fitting and boosts CNN's performance significantly. This model achieves state-of-the-art results on standard aspect extraction datasets. To the best of our knowledge, this is the first paper to apply control modules to aspect extraction."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.06407","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1905.06407","created_at":"2026-05-17T23:44:42.176647+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.06407v2","created_at":"2026-05-17T23:44:42.176647+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.06407","created_at":"2026-05-17T23:44:42.176647+00:00"},{"alias_kind":"pith_short_12","alias_value":"QCFOBFQUNAYR","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"QCFOBFQUNAYRPI3A","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"QCFOBFQU","created_at":"2026-05-18T12:33:27.125529+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ","json":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ.json","graph_json":"https://pith.science/api/pith-number/QCFOBFQUNAYRPI3ANINGV365CZ/graph.json","events_json":"https://pith.science/api/pith-number/QCFOBFQUNAYRPI3ANINGV365CZ/events.json","paper":"https://pith.science/paper/QCFOBFQU"},"agent_actions":{"view_html":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ","download_json":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ.json","view_paper":"https://pith.science/paper/QCFOBFQU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.06407&json=true","fetch_graph":"https://pith.science/api/pith-number/QCFOBFQUNAYRPI3ANINGV365CZ/graph.json","fetch_events":"https://pith.science/api/pith-number/QCFOBFQUNAYRPI3ANINGV365CZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ/action/storage_attestation","attest_author":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ/action/author_attestation","sign_citation":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ/action/citation_signature","submit_replication":"https://pith.science/pith/QCFOBFQUNAYRPI3ANINGV365CZ/action/replication_record"}},"created_at":"2026-05-17T23:44:42.176647+00:00","updated_at":"2026-05-17T23:44:42.176647+00:00"}