{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:KAXEQTOSB56OYQ4M2YGDKTFVIE","short_pith_number":"pith:KAXEQTOS","schema_version":"1.0","canonical_sha256":"502e484dd20f7cec438cd60c354cb54122407e19b16f33998bf9f819a15b5776","source":{"kind":"arxiv","id":"1801.05149","version":1},"attestation_state":"computed","paper":{"title":"OneNet: Joint Domain, Intent, Slot Prediction for Spoken Language Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Karl Stratos, Sungjin Lee, Young-Bum Kim","submitted_at":"2018-01-16T08:28:53Z","abstract_excerpt":"In practice, most spoken language understanding systems process user input in a pipelined manner; first domain is predicted, then intent and semantic slots are inferred according to the semantic frames of the predicted domain. The pipeline approach, however, has some disadvantages: error propagation and lack of information sharing. To address these issues, we present a unified neural network that jointly performs domain, intent, and slot predictions. Our approach adopts a principled architecture for multitask learning to fold in the state-of-the-art models for each task. With a few more ingred"},"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":"1801.05149","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-01-16T08:28:53Z","cross_cats_sorted":[],"title_canon_sha256":"ee00b5df729492b8d630d4badd214e3a8beb3289a340921547e01ab99c202dac","abstract_canon_sha256":"cd1a5b6b47475adb92310a88ab41af8f6a43808fc43584b5f531d682549b1e04"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:47.752054Z","signature_b64":"6E8HACWRLJV2i74XYh+w1pCMjIFOmeNBYX+dbj4r6MvkBzVacoCuDEQE/EVc9+UEieuF5D79O0PGirGYLNDvAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"502e484dd20f7cec438cd60c354cb54122407e19b16f33998bf9f819a15b5776","last_reissued_at":"2026-05-18T00:25:47.751441Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:47.751441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"OneNet: Joint Domain, Intent, Slot Prediction for Spoken Language Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Karl Stratos, Sungjin Lee, Young-Bum Kim","submitted_at":"2018-01-16T08:28:53Z","abstract_excerpt":"In practice, most spoken language understanding systems process user input in a pipelined manner; first domain is predicted, then intent and semantic slots are inferred according to the semantic frames of the predicted domain. The pipeline approach, however, has some disadvantages: error propagation and lack of information sharing. To address these issues, we present a unified neural network that jointly performs domain, intent, and slot predictions. Our approach adopts a principled architecture for multitask learning to fold in the state-of-the-art models for each task. With a few more ingred"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.05149","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":"1801.05149","created_at":"2026-05-18T00:25:47.751517+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.05149v1","created_at":"2026-05-18T00:25:47.751517+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.05149","created_at":"2026-05-18T00:25:47.751517+00:00"},{"alias_kind":"pith_short_12","alias_value":"KAXEQTOSB56O","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_16","alias_value":"KAXEQTOSB56OYQ4M","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_8","alias_value":"KAXEQTOS","created_at":"2026-05-18T12:32:33.847187+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/KAXEQTOSB56OYQ4M2YGDKTFVIE","json":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE.json","graph_json":"https://pith.science/api/pith-number/KAXEQTOSB56OYQ4M2YGDKTFVIE/graph.json","events_json":"https://pith.science/api/pith-number/KAXEQTOSB56OYQ4M2YGDKTFVIE/events.json","paper":"https://pith.science/paper/KAXEQTOS"},"agent_actions":{"view_html":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE","download_json":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE.json","view_paper":"https://pith.science/paper/KAXEQTOS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.05149&json=true","fetch_graph":"https://pith.science/api/pith-number/KAXEQTOSB56OYQ4M2YGDKTFVIE/graph.json","fetch_events":"https://pith.science/api/pith-number/KAXEQTOSB56OYQ4M2YGDKTFVIE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE/action/storage_attestation","attest_author":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE/action/author_attestation","sign_citation":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE/action/citation_signature","submit_replication":"https://pith.science/pith/KAXEQTOSB56OYQ4M2YGDKTFVIE/action/replication_record"}},"created_at":"2026-05-18T00:25:47.751517+00:00","updated_at":"2026-05-18T00:25:47.751517+00:00"}