{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:YNDA2PIA6UKPNFYGVZQ3WJTKCK","short_pith_number":"pith:YNDA2PIA","schema_version":"1.0","canonical_sha256":"c3460d3d00f514f69706ae61bb266a129fad25be67cc614b527c5f08a26b05a5","source":{"kind":"arxiv","id":"2104.07224","version":1},"attestation_state":"computed","paper":{"title":"Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ahmed Aly, Akshat Shrivastava, Alexander Zotov, Shrey Desai","submitted_at":"2021-04-15T04:01:02Z","abstract_excerpt":"Task-oriented semantic parsing models typically have high resource requirements: to support new ontologies (i.e., intents and slots), practitioners crowdsource thousands of samples for supervised fine-tuning. Partly, this is due to the structure of de facto copy-generate parsers; these models treat ontology labels as discrete entities, relying on parallel data to extrinsically derive their meaning. In our work, we instead exploit what we intrinsically know about ontology labels; for example, the fact that SL:TIME_ZONE has the categorical type \"slot\" and language-based span \"time zone\". Using 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":"2104.07224","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-15T04:01:02Z","cross_cats_sorted":[],"title_canon_sha256":"b459780a3fec5d487398845cffe33773a5297b5ee6a43770a5d2830f24e9d608","abstract_canon_sha256":"2df44c87d3a036a9b6e2277ac15555da2840ecc9af917689940b170cea9ebd30"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:32:19.231102Z","signature_b64":"cW8isPdfLLwLJCisHykAeIlmnOzzRxCfrxSJM4sje/G1tvZ08ZQCVjPwX0fmgFa2bCH19fm7jN9p2DDSszFcDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3460d3d00f514f69706ae61bb266a129fad25be67cc614b527c5f08a26b05a5","last_reissued_at":"2026-07-05T02:32:19.230677Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:32:19.230677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ahmed Aly, Akshat Shrivastava, Alexander Zotov, Shrey Desai","submitted_at":"2021-04-15T04:01:02Z","abstract_excerpt":"Task-oriented semantic parsing models typically have high resource requirements: to support new ontologies (i.e., intents and slots), practitioners crowdsource thousands of samples for supervised fine-tuning. Partly, this is due to the structure of de facto copy-generate parsers; these models treat ontology labels as discrete entities, relying on parallel data to extrinsically derive their meaning. In our work, we instead exploit what we intrinsically know about ontology labels; for example, the fact that SL:TIME_ZONE has the categorical type \"slot\" and language-based span \"time zone\". Using t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.07224","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2104.07224/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2104.07224","created_at":"2026-07-05T02:32:19.230733+00:00"},{"alias_kind":"arxiv_version","alias_value":"2104.07224v1","created_at":"2026-07-05T02:32:19.230733+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.07224","created_at":"2026-07-05T02:32:19.230733+00:00"},{"alias_kind":"pith_short_12","alias_value":"YNDA2PIA6UKP","created_at":"2026-07-05T02:32:19.230733+00:00"},{"alias_kind":"pith_short_16","alias_value":"YNDA2PIA6UKPNFYG","created_at":"2026-07-05T02:32:19.230733+00:00"},{"alias_kind":"pith_short_8","alias_value":"YNDA2PIA","created_at":"2026-07-05T02:32:19.230733+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/YNDA2PIA6UKPNFYGVZQ3WJTKCK","json":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK.json","graph_json":"https://pith.science/api/pith-number/YNDA2PIA6UKPNFYGVZQ3WJTKCK/graph.json","events_json":"https://pith.science/api/pith-number/YNDA2PIA6UKPNFYGVZQ3WJTKCK/events.json","paper":"https://pith.science/paper/YNDA2PIA"},"agent_actions":{"view_html":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK","download_json":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK.json","view_paper":"https://pith.science/paper/YNDA2PIA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2104.07224&json=true","fetch_graph":"https://pith.science/api/pith-number/YNDA2PIA6UKPNFYGVZQ3WJTKCK/graph.json","fetch_events":"https://pith.science/api/pith-number/YNDA2PIA6UKPNFYGVZQ3WJTKCK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK/action/storage_attestation","attest_author":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK/action/author_attestation","sign_citation":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK/action/citation_signature","submit_replication":"https://pith.science/pith/YNDA2PIA6UKPNFYGVZQ3WJTKCK/action/replication_record"}},"created_at":"2026-07-05T02:32:19.230733+00:00","updated_at":"2026-07-05T02:32:19.230733+00:00"}