{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:5STP4ZRIQU44J4R63QOM2NQIRK","short_pith_number":"pith:5STP4ZRI","schema_version":"1.0","canonical_sha256":"eca6fe66288539c4f23edc1ccd36088a9c283a31840f409e55fc2f30caea6f1c","source":{"kind":"arxiv","id":"1811.06303","version":2},"attestation_state":"computed","paper":{"title":"End-to-End Learning for Answering Structured Queries Directly over Text","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Antony Scerri, Bradley P. Allen, Jr., Paul Groth, Ron Daniel","submitted_at":"2018-11-15T11:46:14Z","abstract_excerpt":"Structured queries expressed in languages (such as SQL, SPARQL, or XQuery) offer a convenient and explicit way for users to express their information needs for a number of tasks. In this work, we present an approach to answer these directly over text data without storing results in a database. We specifically look at the case of knowledge bases where queries are over entities and the relations between them. Our approach combines distributed query answering (e.g. Triple Pattern Fragments) with models built for extractive question answering. Importantly, by applying distributed querying answerin"},"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":"1811.06303","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-11-15T11:46:14Z","cross_cats_sorted":[],"title_canon_sha256":"4f264665322c0b37956ab66946b2105f5231fdb781c3c71160859705ecb4a94e","abstract_canon_sha256":"1aca35a71b60591bc72ba609b6edc6c5aaf080f0cac7470f6e290d5719e1c810"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:28.127033Z","signature_b64":"NmsPP8JfUOQYgj9LJpKOLwuMR3mGrX+LK64xm5fR/EOEvmNuOAeGwojLo0boY2vGrt9VXg4doZ7LELyQu/lmCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eca6fe66288539c4f23edc1ccd36088a9c283a31840f409e55fc2f30caea6f1c","last_reissued_at":"2026-05-17T23:43:28.126458Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:28.126458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"End-to-End Learning for Answering Structured Queries Directly over Text","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Antony Scerri, Bradley P. Allen, Jr., Paul Groth, Ron Daniel","submitted_at":"2018-11-15T11:46:14Z","abstract_excerpt":"Structured queries expressed in languages (such as SQL, SPARQL, or XQuery) offer a convenient and explicit way for users to express their information needs for a number of tasks. In this work, we present an approach to answer these directly over text data without storing results in a database. We specifically look at the case of knowledge bases where queries are over entities and the relations between them. Our approach combines distributed query answering (e.g. Triple Pattern Fragments) with models built for extractive question answering. Importantly, by applying distributed querying answerin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.06303","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":""},"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":"1811.06303","created_at":"2026-05-17T23:43:28.126546+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.06303v2","created_at":"2026-05-17T23:43:28.126546+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.06303","created_at":"2026-05-17T23:43:28.126546+00:00"},{"alias_kind":"pith_short_12","alias_value":"5STP4ZRIQU44","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_16","alias_value":"5STP4ZRIQU44J4R6","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_8","alias_value":"5STP4ZRI","created_at":"2026-05-18T12:32:08.215937+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/5STP4ZRIQU44J4R63QOM2NQIRK","json":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK.json","graph_json":"https://pith.science/api/pith-number/5STP4ZRIQU44J4R63QOM2NQIRK/graph.json","events_json":"https://pith.science/api/pith-number/5STP4ZRIQU44J4R63QOM2NQIRK/events.json","paper":"https://pith.science/paper/5STP4ZRI"},"agent_actions":{"view_html":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK","download_json":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK.json","view_paper":"https://pith.science/paper/5STP4ZRI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.06303&json=true","fetch_graph":"https://pith.science/api/pith-number/5STP4ZRIQU44J4R63QOM2NQIRK/graph.json","fetch_events":"https://pith.science/api/pith-number/5STP4ZRIQU44J4R63QOM2NQIRK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK/action/storage_attestation","attest_author":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK/action/author_attestation","sign_citation":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK/action/citation_signature","submit_replication":"https://pith.science/pith/5STP4ZRIQU44J4R63QOM2NQIRK/action/replication_record"}},"created_at":"2026-05-17T23:43:28.126546+00:00","updated_at":"2026-05-17T23:43:28.126546+00:00"}