{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:JIUKWQNKAO4JAJF4FMYYECI7MY","short_pith_number":"pith:JIUKWQNK","schema_version":"1.0","canonical_sha256":"4a28ab41aa03b89024bc2b3182091f6635364d29cc1a3cb9c5f9b1cce38d1ced","source":{"kind":"arxiv","id":"1906.04135","version":1},"attestation_state":"computed","paper":{"title":"A Multi-task Approach for Named Entity Recognition in Social Media Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adrian Pastor L\\'opez-Monroy, Gustavo Aguilar, Suraj Maharjan, Thamar Solorio","submitted_at":"2019-06-10T17:12:30Z","abstract_excerpt":"Named Entity Recognition for social media data is challenging because of its inherent noisiness. In addition to improper grammatical structures, it contains spelling inconsistencies and numerous informal abbreviations. We propose a novel multi-task approach by employing a more general secondary task of Named Entity (NE) segmentation together with the primary task of fine-grained NE categorization. The multi-task neural network architecture learns higher order feature representations from word and character sequences along with basic Part-of-Speech tags and gazetteer information. This neural ne"},"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":"1906.04135","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-10T17:12:30Z","cross_cats_sorted":[],"title_canon_sha256":"344760c4ffd8d9feaaae37dc93043196fa002fc15b6a0d6a2435bafd5d2a7aba","abstract_canon_sha256":"3325442f825c4dcb53153a59a99a18e2209662c362d171f468ca8bc46f2b2f5e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:43.784775Z","signature_b64":"QImYoAyhyiSMVdImSsdhaCYbRZOzVMuAv4fPMbWsJWwLq8kUQrv6ssx814UxZY5VzkG/SqSNZUcbWHEHMDT5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a28ab41aa03b89024bc2b3182091f6635364d29cc1a3cb9c5f9b1cce38d1ced","last_reissued_at":"2026-05-17T23:43:43.784029Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:43.784029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Multi-task Approach for Named Entity Recognition in Social Media Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adrian Pastor L\\'opez-Monroy, Gustavo Aguilar, Suraj Maharjan, Thamar Solorio","submitted_at":"2019-06-10T17:12:30Z","abstract_excerpt":"Named Entity Recognition for social media data is challenging because of its inherent noisiness. In addition to improper grammatical structures, it contains spelling inconsistencies and numerous informal abbreviations. We propose a novel multi-task approach by employing a more general secondary task of Named Entity (NE) segmentation together with the primary task of fine-grained NE categorization. The multi-task neural network architecture learns higher order feature representations from word and character sequences along with basic Part-of-Speech tags and gazetteer information. This neural ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04135","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":"1906.04135","created_at":"2026-05-17T23:43:43.784144+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.04135v1","created_at":"2026-05-17T23:43:43.784144+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04135","created_at":"2026-05-17T23:43:43.784144+00:00"},{"alias_kind":"pith_short_12","alias_value":"JIUKWQNKAO4J","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"JIUKWQNKAO4JAJF4","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"JIUKWQNK","created_at":"2026-05-18T12:33:21.387695+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/JIUKWQNKAO4JAJF4FMYYECI7MY","json":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY.json","graph_json":"https://pith.science/api/pith-number/JIUKWQNKAO4JAJF4FMYYECI7MY/graph.json","events_json":"https://pith.science/api/pith-number/JIUKWQNKAO4JAJF4FMYYECI7MY/events.json","paper":"https://pith.science/paper/JIUKWQNK"},"agent_actions":{"view_html":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY","download_json":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY.json","view_paper":"https://pith.science/paper/JIUKWQNK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.04135&json=true","fetch_graph":"https://pith.science/api/pith-number/JIUKWQNKAO4JAJF4FMYYECI7MY/graph.json","fetch_events":"https://pith.science/api/pith-number/JIUKWQNKAO4JAJF4FMYYECI7MY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY/action/storage_attestation","attest_author":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY/action/author_attestation","sign_citation":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY/action/citation_signature","submit_replication":"https://pith.science/pith/JIUKWQNKAO4JAJF4FMYYECI7MY/action/replication_record"}},"created_at":"2026-05-17T23:43:43.784144+00:00","updated_at":"2026-05-17T23:43:43.784144+00:00"}