{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:ACBVQTN36B2JODELUICFVKQ4KX","short_pith_number":"pith:ACBVQTN3","schema_version":"1.0","canonical_sha256":"0083584dbbf074970c8ba2045aaa1c55e473532d874d320cc449bba77fcda7c7","source":{"kind":"arxiv","id":"2204.07701","version":1},"attestation_state":"computed","paper":{"title":"BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Cunliang Kong, Erhong Yang, Hengyuan Zhang, Liner Yang, Ruining Chong, Yaping Huang, Yujie Wang","submitted_at":"2022-04-16T02:33:28Z","abstract_excerpt":"This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English and French. We propose a transformer-based multitasking framework to explore the task. The framework integrates multiple embedding architectures through the cross-attention mechanism, and captures the structure of glosses through a masking language model objective. Additionally, we also investigate a simple but effective model ensembling strategy to further improve the ro"},"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":"2204.07701","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-16T02:33:28Z","cross_cats_sorted":[],"title_canon_sha256":"7b0466c8bf74ac83e45794ede8bc39ebad3d51dbe0cd317ef3135d10f5707f74","abstract_canon_sha256":"d698e2ad1f1014e8a87390d22768be163d19cf073ca8f656a100a8459bacb9f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:15:17.596616Z","signature_b64":"du6bUqV+B6oL4z05u0MveDJLW37ZvvZ1pgA921VICYzVt9F3uVnWgJPQuPQMQXBIAj/nHVaJkPno4NCHbtXsDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0083584dbbf074970c8ba2045aaa1c55e473532d874d320cc449bba77fcda7c7","last_reissued_at":"2026-07-05T04:15:17.596116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:15:17.596116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Cunliang Kong, Erhong Yang, Hengyuan Zhang, Liner Yang, Ruining Chong, Yaping Huang, Yujie Wang","submitted_at":"2022-04-16T02:33:28Z","abstract_excerpt":"This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English and French. We propose a transformer-based multitasking framework to explore the task. The framework integrates multiple embedding architectures through the cross-attention mechanism, and captures the structure of glosses through a masking language model objective. Additionally, we also investigate a simple but effective model ensembling strategy to further improve the ro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.07701","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/2204.07701/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":"2204.07701","created_at":"2026-07-05T04:15:17.596177+00:00"},{"alias_kind":"arxiv_version","alias_value":"2204.07701v1","created_at":"2026-07-05T04:15:17.596177+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.07701","created_at":"2026-07-05T04:15:17.596177+00:00"},{"alias_kind":"pith_short_12","alias_value":"ACBVQTN36B2J","created_at":"2026-07-05T04:15:17.596177+00:00"},{"alias_kind":"pith_short_16","alias_value":"ACBVQTN36B2JODEL","created_at":"2026-07-05T04:15:17.596177+00:00"},{"alias_kind":"pith_short_8","alias_value":"ACBVQTN3","created_at":"2026-07-05T04:15:17.596177+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/ACBVQTN36B2JODELUICFVKQ4KX","json":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX.json","graph_json":"https://pith.science/api/pith-number/ACBVQTN36B2JODELUICFVKQ4KX/graph.json","events_json":"https://pith.science/api/pith-number/ACBVQTN36B2JODELUICFVKQ4KX/events.json","paper":"https://pith.science/paper/ACBVQTN3"},"agent_actions":{"view_html":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX","download_json":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX.json","view_paper":"https://pith.science/paper/ACBVQTN3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2204.07701&json=true","fetch_graph":"https://pith.science/api/pith-number/ACBVQTN36B2JODELUICFVKQ4KX/graph.json","fetch_events":"https://pith.science/api/pith-number/ACBVQTN36B2JODELUICFVKQ4KX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX/action/storage_attestation","attest_author":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX/action/author_attestation","sign_citation":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX/action/citation_signature","submit_replication":"https://pith.science/pith/ACBVQTN36B2JODELUICFVKQ4KX/action/replication_record"}},"created_at":"2026-07-05T04:15:17.596177+00:00","updated_at":"2026-07-05T04:15:17.596177+00:00"}