{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:KTC2FC5B6CLQBYUJURWQNTFNGY","short_pith_number":"pith:KTC2FC5B","schema_version":"1.0","canonical_sha256":"54c5a28ba1f09700e289a46d06ccad3611e33efe4cb8090d33967c2a2ac7a8fe","source":{"kind":"arxiv","id":"2104.08768","version":2},"attestation_state":"computed","paper":{"title":"Constrained Language Models Yield Few-Shot Semantic Parsers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adam Pauls, Benjamin Van Durme, Charles Chen, Christopher H. Lin, Dan Klein, Emmanouil Antonios Platanios, Jason Eisner, Richard Shin, Sam Thomson, Subhro Roy","submitted_at":"2021-04-18T08:13:06Z","abstract_excerpt":"We explore the use of large pretrained language models as few-shot semantic parsers. The goal in semantic parsing is to generate a structured meaning representation given a natural language input. However, language models are trained to generate natural language. To bridge the gap, we use language models to paraphrase inputs into a controlled sublanguage resembling English that can be automatically mapped to a target meaning representation. Our results demonstrate that with only a small amount of data and very little code to convert into English-like representations, our blueprint for rapidly "},"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":"2104.08768","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T08:13:06Z","cross_cats_sorted":[],"title_canon_sha256":"a8e238e2b7502dc679171d25f9a6a8ab13cdb2aa962f047d9f8056aca902707f","abstract_canon_sha256":"2ece6578685b45837c1badc7558f90ed5db31a8c07b7c5f227a734733b22d35a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:32:38.100667Z","signature_b64":"LfKxAxDe2jwWvbHyyFtdbmMk2A9MmV9GOuJT2jCdNcDtX2/L+rw1TG3wlomg2UpQr0F1EOBCZRnWK5OhWnYmCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54c5a28ba1f09700e289a46d06ccad3611e33efe4cb8090d33967c2a2ac7a8fe","last_reissued_at":"2026-07-05T03:32:38.100075Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:32:38.100075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Constrained Language Models Yield Few-Shot Semantic Parsers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adam Pauls, Benjamin Van Durme, Charles Chen, Christopher H. Lin, Dan Klein, Emmanouil Antonios Platanios, Jason Eisner, Richard Shin, Sam Thomson, Subhro Roy","submitted_at":"2021-04-18T08:13:06Z","abstract_excerpt":"We explore the use of large pretrained language models as few-shot semantic parsers. The goal in semantic parsing is to generate a structured meaning representation given a natural language input. However, language models are trained to generate natural language. To bridge the gap, we use language models to paraphrase inputs into a controlled sublanguage resembling English that can be automatically mapped to a target meaning representation. Our results demonstrate that with only a small amount of data and very little code to convert into English-like representations, our blueprint for rapidly "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08768","kind":"arxiv","version":2},"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/2104.08768/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":"2104.08768","created_at":"2026-07-05T03:32:38.100152+00:00"},{"alias_kind":"arxiv_version","alias_value":"2104.08768v2","created_at":"2026-07-05T03:32:38.100152+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08768","created_at":"2026-07-05T03:32:38.100152+00:00"},{"alias_kind":"pith_short_12","alias_value":"KTC2FC5B6CLQ","created_at":"2026-07-05T03:32:38.100152+00:00"},{"alias_kind":"pith_short_16","alias_value":"KTC2FC5B6CLQBYUJ","created_at":"2026-07-05T03:32:38.100152+00:00"},{"alias_kind":"pith_short_8","alias_value":"KTC2FC5B","created_at":"2026-07-05T03:32:38.100152+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2211.10435","citing_title":"PAL: Program-aided Language Models","ref_index":36,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY","json":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY.json","graph_json":"https://pith.science/api/pith-number/KTC2FC5B6CLQBYUJURWQNTFNGY/graph.json","events_json":"https://pith.science/api/pith-number/KTC2FC5B6CLQBYUJURWQNTFNGY/events.json","paper":"https://pith.science/paper/KTC2FC5B"},"agent_actions":{"view_html":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY","download_json":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY.json","view_paper":"https://pith.science/paper/KTC2FC5B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2104.08768&json=true","fetch_graph":"https://pith.science/api/pith-number/KTC2FC5B6CLQBYUJURWQNTFNGY/graph.json","fetch_events":"https://pith.science/api/pith-number/KTC2FC5B6CLQBYUJURWQNTFNGY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY/action/storage_attestation","attest_author":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY/action/author_attestation","sign_citation":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY/action/citation_signature","submit_replication":"https://pith.science/pith/KTC2FC5B6CLQBYUJURWQNTFNGY/action/replication_record"}},"created_at":"2026-07-05T03:32:38.100152+00:00","updated_at":"2026-07-05T03:32:38.100152+00:00"}