{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:E6YSOCKHODTNRBZDCFOQYGL5ZP","short_pith_number":"pith:E6YSOCKH","schema_version":"1.0","canonical_sha256":"27b127094770e6d88723115d0c197dcbeca79991283e0293bf91bf7623a19046","source":{"kind":"arxiv","id":"2211.16883","version":1},"attestation_state":"computed","paper":{"title":"X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Guanghao Chen, Hongyi Huang, Shuohuan Wang, Yang Yang, Yaqian Han, Yekun Chai, Yitong Xu, Yu Sun","submitted_at":"2022-11-30T10:34:08Z","abstract_excerpt":"Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios. This paper describes the X-PuDu system that participated in SemEval-2022 Task 6, iSarcasmEval - Intended Sarcasm Detection in English and Arabic, which aims at detecting intended sarcasm in various settings of natural language understanding. Our solution finetunes pre-trained language models, such as ERNIE-M and DeBERTa, under the multilingual settings to recognize the irony from Arabic and English texts. Our system ra"},"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":"2211.16883","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-30T10:34:08Z","cross_cats_sorted":[],"title_canon_sha256":"bbbd8195d38e8a05add69d4d9091d8b9be2b52ed071302025e926aa072147901","abstract_canon_sha256":"a3a93a667056b0333e31d1c6e7abbe4ca3d843c85ac7486405c5b5e1b5d789a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:21:12.542132Z","signature_b64":"UyO0jmgnW/HCTsyRlpwc9pzUb5OrYQdXJj73ZRESRKBbNayqDMGkO6XlC4mepE+y5xmmMs0rJmeKP1rCTyXqCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27b127094770e6d88723115d0c197dcbeca79991283e0293bf91bf7623a19046","last_reissued_at":"2026-07-05T05:21:12.541732Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:21:12.541732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Guanghao Chen, Hongyi Huang, Shuohuan Wang, Yang Yang, Yaqian Han, Yekun Chai, Yitong Xu, Yu Sun","submitted_at":"2022-11-30T10:34:08Z","abstract_excerpt":"Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios. This paper describes the X-PuDu system that participated in SemEval-2022 Task 6, iSarcasmEval - Intended Sarcasm Detection in English and Arabic, which aims at detecting intended sarcasm in various settings of natural language understanding. Our solution finetunes pre-trained language models, such as ERNIE-M and DeBERTa, under the multilingual settings to recognize the irony from Arabic and English texts. Our system ra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.16883","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/2211.16883/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":"2211.16883","created_at":"2026-07-05T05:21:12.541789+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.16883v1","created_at":"2026-07-05T05:21:12.541789+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.16883","created_at":"2026-07-05T05:21:12.541789+00:00"},{"alias_kind":"pith_short_12","alias_value":"E6YSOCKHODTN","created_at":"2026-07-05T05:21:12.541789+00:00"},{"alias_kind":"pith_short_16","alias_value":"E6YSOCKHODTNRBZD","created_at":"2026-07-05T05:21:12.541789+00:00"},{"alias_kind":"pith_short_8","alias_value":"E6YSOCKH","created_at":"2026-07-05T05:21:12.541789+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/E6YSOCKHODTNRBZDCFOQYGL5ZP","json":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP.json","graph_json":"https://pith.science/api/pith-number/E6YSOCKHODTNRBZDCFOQYGL5ZP/graph.json","events_json":"https://pith.science/api/pith-number/E6YSOCKHODTNRBZDCFOQYGL5ZP/events.json","paper":"https://pith.science/paper/E6YSOCKH"},"agent_actions":{"view_html":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP","download_json":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP.json","view_paper":"https://pith.science/paper/E6YSOCKH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.16883&json=true","fetch_graph":"https://pith.science/api/pith-number/E6YSOCKHODTNRBZDCFOQYGL5ZP/graph.json","fetch_events":"https://pith.science/api/pith-number/E6YSOCKHODTNRBZDCFOQYGL5ZP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP/action/storage_attestation","attest_author":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP/action/author_attestation","sign_citation":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP/action/citation_signature","submit_replication":"https://pith.science/pith/E6YSOCKHODTNRBZDCFOQYGL5ZP/action/replication_record"}},"created_at":"2026-07-05T05:21:12.541789+00:00","updated_at":"2026-07-05T05:21:12.541789+00:00"}