{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:NP57LRXSV2IZOT6CU5Y34S257H","short_pith_number":"pith:NP57LRXS","schema_version":"1.0","canonical_sha256":"6bfbf5c6f2ae91974fc2a771be4b5df9c024e018b75290be6993ed074294f92f","source":{"kind":"arxiv","id":"1904.06828","version":1},"attestation_state":"computed","paper":{"title":"Pun Generation with Surprise","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"He He, Nanyun Peng, Percy Liang","submitted_at":"2019-04-15T03:40:16Z","abstract_excerpt":"We tackle the problem of generating a pun sentence given a pair of homophones (e.g., \"died\" and \"dyed\"). Supervised text generation is inappropriate due to the lack of a large corpus of puns, and even if such a corpus existed, mimicry is at odds with generating novel content. In this paper, we propose an unsupervised approach to pun generation using a corpus of unhumorous text and what we call the local-global surprisal principle: we posit that in a pun sentence, there is a strong association between the pun word (e.g., \"dyed\") and the distant context, as well as a strong association between 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":"1904.06828","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-15T03:40:16Z","cross_cats_sorted":[],"title_canon_sha256":"d4b16df7b06ee7a67b592b2ad011861a8db78976052ed122a5166c9e32dcf1d9","abstract_canon_sha256":"39fa9ab63b87ca32d852649119b3f826a9e8fc8217ea7f3a244163bfe4fb13fc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:36.073822Z","signature_b64":"xGYjf9qy13DXyY6WR5hA3EaE8W1VeJoVQ2U/hzITO6TAyNIqVK04EmNzEkAUu1rxjj9r+yu+qhEq8+4oP++dAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bfbf5c6f2ae91974fc2a771be4b5df9c024e018b75290be6993ed074294f92f","last_reissued_at":"2026-05-17T23:48:36.073200Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:36.073200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Pun Generation with Surprise","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"He He, Nanyun Peng, Percy Liang","submitted_at":"2019-04-15T03:40:16Z","abstract_excerpt":"We tackle the problem of generating a pun sentence given a pair of homophones (e.g., \"died\" and \"dyed\"). Supervised text generation is inappropriate due to the lack of a large corpus of puns, and even if such a corpus existed, mimicry is at odds with generating novel content. In this paper, we propose an unsupervised approach to pun generation using a corpus of unhumorous text and what we call the local-global surprisal principle: we posit that in a pun sentence, there is a strong association between the pun word (e.g., \"dyed\") and the distant context, as well as a strong association between t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.06828","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":""},"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":"1904.06828","created_at":"2026-05-17T23:48:36.073293+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.06828v1","created_at":"2026-05-17T23:48:36.073293+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.06828","created_at":"2026-05-17T23:48:36.073293+00:00"},{"alias_kind":"pith_short_12","alias_value":"NP57LRXSV2IZ","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"NP57LRXSV2IZOT6C","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"NP57LRXS","created_at":"2026-05-18T12:33:24.271573+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/NP57LRXSV2IZOT6CU5Y34S257H","json":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H.json","graph_json":"https://pith.science/api/pith-number/NP57LRXSV2IZOT6CU5Y34S257H/graph.json","events_json":"https://pith.science/api/pith-number/NP57LRXSV2IZOT6CU5Y34S257H/events.json","paper":"https://pith.science/paper/NP57LRXS"},"agent_actions":{"view_html":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H","download_json":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H.json","view_paper":"https://pith.science/paper/NP57LRXS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.06828&json=true","fetch_graph":"https://pith.science/api/pith-number/NP57LRXSV2IZOT6CU5Y34S257H/graph.json","fetch_events":"https://pith.science/api/pith-number/NP57LRXSV2IZOT6CU5Y34S257H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H/action/storage_attestation","attest_author":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H/action/author_attestation","sign_citation":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H/action/citation_signature","submit_replication":"https://pith.science/pith/NP57LRXSV2IZOT6CU5Y34S257H/action/replication_record"}},"created_at":"2026-05-17T23:48:36.073293+00:00","updated_at":"2026-05-17T23:48:36.073293+00:00"}