{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:H3LODXNIL4TSENRMRYLW7TZ2DP","short_pith_number":"pith:H3LODXNI","schema_version":"1.0","canonical_sha256":"3ed6e1dda85f2722362c8e176fcf3a1bd4908aed99c7ec992eb8c02d4cf6b38b","source":{"kind":"arxiv","id":"2011.00474","version":1},"attestation_state":"computed","paper":{"title":"Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chengcan Ying, Jiajun Chen, Shujian Huang, Xinyu Dai, Zhen Wu","submitted_at":"2020-11-01T11:00:19Z","abstract_excerpt":"Aspect-level sentiment classification (ALSC) and aspect oriented opinion words extraction (AOWE) are two highly relevant aspect-based sentiment analysis (ABSA) subtasks. They respectively aim to detect the sentiment polarity and extract the corresponding opinion words toward a given aspect in a sentence. Previous works separate them and focus on one of them by training neural models on small-scale labeled data, while neglecting the connections between them. In this paper, we propose a novel joint model, Opinion Transmission Network (OTN), to exploit the potential bridge between ALSC and AOWE t"},"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":"2011.00474","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-01T11:00:19Z","cross_cats_sorted":[],"title_canon_sha256":"bc56f5e0f47b6e1f979ae22ea790c83a47789c929e9b79c3e2969cb351a741d7","abstract_canon_sha256":"02dc789d77019a4efa6f7da11a359265119dba7b344dab92688c732c17311088"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:48:16.429799Z","signature_b64":"lpRez9L27RrnHfaT0Hu9QS5iwBhpdI4BSFLwlRNLNlytEbWFc2EoNmcBlZNQh3vvzeZYF0VoRkmoyF5ROpTkAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ed6e1dda85f2722362c8e176fcf3a1bd4908aed99c7ec992eb8c02d4cf6b38b","last_reissued_at":"2026-07-05T01:48:16.429346Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:48:16.429346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chengcan Ying, Jiajun Chen, Shujian Huang, Xinyu Dai, Zhen Wu","submitted_at":"2020-11-01T11:00:19Z","abstract_excerpt":"Aspect-level sentiment classification (ALSC) and aspect oriented opinion words extraction (AOWE) are two highly relevant aspect-based sentiment analysis (ABSA) subtasks. They respectively aim to detect the sentiment polarity and extract the corresponding opinion words toward a given aspect in a sentence. Previous works separate them and focus on one of them by training neural models on small-scale labeled data, while neglecting the connections between them. In this paper, we propose a novel joint model, Opinion Transmission Network (OTN), to exploit the potential bridge between ALSC and AOWE t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.00474","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2011.00474/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2011.00474","created_at":"2026-07-05T01:48:16.429406+00:00"},{"alias_kind":"arxiv_version","alias_value":"2011.00474v1","created_at":"2026-07-05T01:48:16.429406+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.00474","created_at":"2026-07-05T01:48:16.429406+00:00"},{"alias_kind":"pith_short_12","alias_value":"H3LODXNIL4TS","created_at":"2026-07-05T01:48:16.429406+00:00"},{"alias_kind":"pith_short_16","alias_value":"H3LODXNIL4TSENRM","created_at":"2026-07-05T01:48:16.429406+00:00"},{"alias_kind":"pith_short_8","alias_value":"H3LODXNI","created_at":"2026-07-05T01:48:16.429406+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/H3LODXNIL4TSENRMRYLW7TZ2DP","json":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP.json","graph_json":"https://pith.science/api/pith-number/H3LODXNIL4TSENRMRYLW7TZ2DP/graph.json","events_json":"https://pith.science/api/pith-number/H3LODXNIL4TSENRMRYLW7TZ2DP/events.json","paper":"https://pith.science/paper/H3LODXNI"},"agent_actions":{"view_html":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP","download_json":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP.json","view_paper":"https://pith.science/paper/H3LODXNI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2011.00474&json=true","fetch_graph":"https://pith.science/api/pith-number/H3LODXNIL4TSENRMRYLW7TZ2DP/graph.json","fetch_events":"https://pith.science/api/pith-number/H3LODXNIL4TSENRMRYLW7TZ2DP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP/action/storage_attestation","attest_author":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP/action/author_attestation","sign_citation":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP/action/citation_signature","submit_replication":"https://pith.science/pith/H3LODXNIL4TSENRMRYLW7TZ2DP/action/replication_record"}},"created_at":"2026-07-05T01:48:16.429406+00:00","updated_at":"2026-07-05T01:48:16.429406+00:00"}