{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:5Q3JYWAT5MGKVKO3ZMDDX5WKM4","short_pith_number":"pith:5Q3JYWAT","schema_version":"1.0","canonical_sha256":"ec369c5813eb0caaa9dbcb063bf6ca6726698bdaa97aa93fd6ba7672bf8a590a","source":{"kind":"arxiv","id":"2109.07726","version":2},"attestation_state":"computed","paper":{"title":"MOVER: Mask, Over-generate and Rank for Hyperbole Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Xiaojun Wan, Yunxiang Zhang","submitted_at":"2021-09-16T05:25:13Z","abstract_excerpt":"Despite being a common figure of speech, hyperbole is under-researched in Figurative Language Processing. In this paper, we tackle the challenging task of hyperbole generation to transfer a literal sentence into its hyperbolic paraphrase. To address the lack of available hyperbolic sentences, we construct HYPO-XL, the first large-scale English hyperbole corpus containing 17,862 hyperbolic sentences in a non-trivial way. Based on our corpus, we propose an unsupervised method for hyperbole generation that does not require parallel literal-hyperbole pairs. During training, we fine-tune BART to in"},"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":"2109.07726","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-16T05:25:13Z","cross_cats_sorted":[],"title_canon_sha256":"b6d8ca54fd2dfb2b8fc533f6189c903cc44cde8fdcf6f3e4091878d15385cf36","abstract_canon_sha256":"c1055dc1bd59a98bf9a1fc7289945dee6b1bb5b6fe245cffaac94b7c9b4fdc15"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:20:16.094269Z","signature_b64":"bVZxzALSZbVeMmLYP1zajjgf7U2cZmiO4e1Uvjl6RY1gVqi+x7BZx2Vs4ZZPqKSxoiN3Ajv90X1Q+WUqyTtwDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec369c5813eb0caaa9dbcb063bf6ca6726698bdaa97aa93fd6ba7672bf8a590a","last_reissued_at":"2026-07-05T04:20:16.093754Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:20:16.093754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MOVER: Mask, Over-generate and Rank for Hyperbole Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Xiaojun Wan, Yunxiang Zhang","submitted_at":"2021-09-16T05:25:13Z","abstract_excerpt":"Despite being a common figure of speech, hyperbole is under-researched in Figurative Language Processing. In this paper, we tackle the challenging task of hyperbole generation to transfer a literal sentence into its hyperbolic paraphrase. To address the lack of available hyperbolic sentences, we construct HYPO-XL, the first large-scale English hyperbole corpus containing 17,862 hyperbolic sentences in a non-trivial way. Based on our corpus, we propose an unsupervised method for hyperbole generation that does not require parallel literal-hyperbole pairs. During training, we fine-tune BART to in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.07726","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2109.07726/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":"2109.07726","created_at":"2026-07-05T04:20:16.093810+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.07726v2","created_at":"2026-07-05T04:20:16.093810+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.07726","created_at":"2026-07-05T04:20:16.093810+00:00"},{"alias_kind":"pith_short_12","alias_value":"5Q3JYWAT5MGK","created_at":"2026-07-05T04:20:16.093810+00:00"},{"alias_kind":"pith_short_16","alias_value":"5Q3JYWAT5MGKVKO3","created_at":"2026-07-05T04:20:16.093810+00:00"},{"alias_kind":"pith_short_8","alias_value":"5Q3JYWAT","created_at":"2026-07-05T04:20:16.093810+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.15504","citing_title":"Enhancing Hyperbole and Metaphor Detection with Their Bidirectional Dynamic Interaction and Emotion Knowledge","ref_index":50,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4","json":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4.json","graph_json":"https://pith.science/api/pith-number/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/graph.json","events_json":"https://pith.science/api/pith-number/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/events.json","paper":"https://pith.science/paper/5Q3JYWAT"},"agent_actions":{"view_html":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4","download_json":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4.json","view_paper":"https://pith.science/paper/5Q3JYWAT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.07726&json=true","fetch_graph":"https://pith.science/api/pith-number/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/graph.json","fetch_events":"https://pith.science/api/pith-number/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/action/storage_attestation","attest_author":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/action/author_attestation","sign_citation":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/action/citation_signature","submit_replication":"https://pith.science/pith/5Q3JYWAT5MGKVKO3ZMDDX5WKM4/action/replication_record"}},"created_at":"2026-07-05T04:20:16.093810+00:00","updated_at":"2026-07-05T04:20:16.093810+00:00"}