{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:YBCCP66SQKAVEFBXL2VTGSEYWS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c70524294faa61925ad6667def733ecb88ebcab242aecc11a0779e75b1c78c84","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-25T21:04:53Z","title_canon_sha256":"6fcf761c520f99eb7bb950aa1d0d46154eec2e154d789d37b24bc8793edcf486"},"schema_version":"1.0","source":{"id":"1808.08470","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08470","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08470v1","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08470","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"pith_short_12","alias_value":"YBCCP66SQKAV","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YBCCP66SQKAVEFBX","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YBCCP66S","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:a6f68c6c634dcb70615f592634a103530b9f0bf4fb4c540d933f579be496080e","target":"graph","created_at":"2026-05-18T00:07:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We explore two methods for representing authors in the context of textual sarcasm detection: a Bayesian approach that directly represents authors' propensities to be sarcastic, and a dense embedding approach that can learn interactions between the author and the text. Using the SARC dataset of Reddit comments, we show that augmenting a bidirectional RNN with these representations improves performance; the Bayesian approach suffices in homogeneous contexts, whereas the added power of the dense embeddings proves valuable in more diverse ones.","authors_text":"Christopher Potts, Y. Alex Kolchinski","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-25T21:04:53Z","title":"Representing Social Media Users for Sarcasm Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08470","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:90a086d3e2accbd4965ab90fa0336e9eccabcf90d8458c6a3c0bd34e388dbc1b","target":"record","created_at":"2026-05-18T00:07:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c70524294faa61925ad6667def733ecb88ebcab242aecc11a0779e75b1c78c84","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-25T21:04:53Z","title_canon_sha256":"6fcf761c520f99eb7bb950aa1d0d46154eec2e154d789d37b24bc8793edcf486"},"schema_version":"1.0","source":{"id":"1808.08470","kind":"arxiv","version":1}},"canonical_sha256":"c04427fbd282815214375eab334898b4804c89b5516b400a87bd13f1ffa4abc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c04427fbd282815214375eab334898b4804c89b5516b400a87bd13f1ffa4abc7","first_computed_at":"2026-05-18T00:07:16.414597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:16.414597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eKM6nDZwli10tCm76fFBTCl3+k9Z+0YOOw8jQtLKHw7ToXZGIW3xNWTMoT8lpWAQztfnnUkRuAozOOgtzWTSAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:16.415231Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.08470","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90a086d3e2accbd4965ab90fa0336e9eccabcf90d8458c6a3c0bd34e388dbc1b","sha256:a6f68c6c634dcb70615f592634a103530b9f0bf4fb4c540d933f579be496080e"],"state_sha256":"6942bf6714551e807944c7a49aa89a9d08ffad76edd62f66792d67fa6d4ff238"}