{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:F3XWSC6ZOUUU5W4W3VE6OBL35C","short_pith_number":"pith:F3XWSC6Z","schema_version":"1.0","canonical_sha256":"2eef690bd975294edb96dd49e7057be8bee2eef76fef50c9716a62bca369960e","source":{"kind":"arxiv","id":"1606.08270","version":1},"attestation_state":"computed","paper":{"title":"Evaluating Informal-Domain Word Representations With UrbanDictionary","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adam Lopez, Naomi Saphra","submitted_at":"2016-06-27T13:39:54Z","abstract_excerpt":"Existing corpora for intrinsic evaluation are not targeted towards tasks in informal domains such as Twitter or news comment forums. We want to test whether a representation of informal words fulfills the promise of eliding explicit text normalization as a preprocessing step. One possible evaluation metric for such domains is the proximity of spelling variants. We propose how such a metric might be computed and how a spelling variant dataset can be collected using UrbanDictionary."},"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":"1606.08270","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2016-06-27T13:39:54Z","cross_cats_sorted":[],"title_canon_sha256":"f2eb5411c682d16bac18cac46dd5e5adee42153fef14e449aeb08eddf5c0edb4","abstract_canon_sha256":"8926e435bbfc54ae6be70b52a5ba713a4a453c5a0c05293e5b29c28aac8e727b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:52.438585Z","signature_b64":"WlE5/UzFilx//kVad5PuDhl6s2XU4I/UCMZnIZjiq6LkdQf4O+0AzEadLyaN4nIZ3SbR8nrhwQ44e90JZbbLCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2eef690bd975294edb96dd49e7057be8bee2eef76fef50c9716a62bca369960e","last_reissued_at":"2026-05-18T01:11:52.438244Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:52.438244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating Informal-Domain Word Representations With UrbanDictionary","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adam Lopez, Naomi Saphra","submitted_at":"2016-06-27T13:39:54Z","abstract_excerpt":"Existing corpora for intrinsic evaluation are not targeted towards tasks in informal domains such as Twitter or news comment forums. We want to test whether a representation of informal words fulfills the promise of eliding explicit text normalization as a preprocessing step. One possible evaluation metric for such domains is the proximity of spelling variants. We propose how such a metric might be computed and how a spelling variant dataset can be collected using UrbanDictionary."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.08270","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":"1606.08270","created_at":"2026-05-18T01:11:52.438298+00:00"},{"alias_kind":"arxiv_version","alias_value":"1606.08270v1","created_at":"2026-05-18T01:11:52.438298+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.08270","created_at":"2026-05-18T01:11:52.438298+00:00"},{"alias_kind":"pith_short_12","alias_value":"F3XWSC6ZOUUU","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_16","alias_value":"F3XWSC6ZOUUU5W4W","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_8","alias_value":"F3XWSC6Z","created_at":"2026-05-18T12:30:15.759754+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/F3XWSC6ZOUUU5W4W3VE6OBL35C","json":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C.json","graph_json":"https://pith.science/api/pith-number/F3XWSC6ZOUUU5W4W3VE6OBL35C/graph.json","events_json":"https://pith.science/api/pith-number/F3XWSC6ZOUUU5W4W3VE6OBL35C/events.json","paper":"https://pith.science/paper/F3XWSC6Z"},"agent_actions":{"view_html":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C","download_json":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C.json","view_paper":"https://pith.science/paper/F3XWSC6Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1606.08270&json=true","fetch_graph":"https://pith.science/api/pith-number/F3XWSC6ZOUUU5W4W3VE6OBL35C/graph.json","fetch_events":"https://pith.science/api/pith-number/F3XWSC6ZOUUU5W4W3VE6OBL35C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C/action/storage_attestation","attest_author":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C/action/author_attestation","sign_citation":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C/action/citation_signature","submit_replication":"https://pith.science/pith/F3XWSC6ZOUUU5W4W3VE6OBL35C/action/replication_record"}},"created_at":"2026-05-18T01:11:52.438298+00:00","updated_at":"2026-05-18T01:11:52.438298+00:00"}