{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:44LZRX4XCZDPTYKSWNO553EUSS","short_pith_number":"pith:44LZRX4X","schema_version":"1.0","canonical_sha256":"e71798df971646f9e152b35ddeec9494a1eddfb902c68e35ffc8f5425510151b","source":{"kind":"arxiv","id":"1802.09296","version":1},"attestation_state":"computed","paper":{"title":"AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Philipp Cimiano, Sherzod Hakimov, Soufian Jebbara","submitted_at":"2018-02-26T13:50:14Z","abstract_excerpt":"The task of answering natural language questions over RDF data has received wide interest in recent years, in particular in the context of the series of QALD benchmarks. The task consists of mapping a natural language question to an executable form, e.g. SPARQL, so that answers from a given KB can be extracted. So far, most systems proposed are i) monolingual and ii) rely on a set of hard-coded rules to interpret questions and map them into a SPARQL query. We present the first multilingual QALD pipeline that induces a model from training data for mapping a natural language question into logica"},"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":"1802.09296","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-26T13:50:14Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d4247a3b63ed8eebe376a2da554e0d22f1a309a7c4af41d4b9a564503b0d91d5","abstract_canon_sha256":"ae1eecc39607df2d7463ad6f51bc5de4a06d8c2983e7f1d6fb354c427d9123fa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:34.160184Z","signature_b64":"ZKqWQH6mRe80yoI8TMWUkOv23z8KMjqcAPqDfptwEq1bUFQ3oc7WR0WzbUMlQxP3BwR3diVPNFDHd4d8MlmnAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e71798df971646f9e152b35ddeec9494a1eddfb902c68e35ffc8f5425510151b","last_reissued_at":"2026-05-18T00:22:34.159481Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:34.159481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Philipp Cimiano, Sherzod Hakimov, Soufian Jebbara","submitted_at":"2018-02-26T13:50:14Z","abstract_excerpt":"The task of answering natural language questions over RDF data has received wide interest in recent years, in particular in the context of the series of QALD benchmarks. The task consists of mapping a natural language question to an executable form, e.g. SPARQL, so that answers from a given KB can be extracted. So far, most systems proposed are i) monolingual and ii) rely on a set of hard-coded rules to interpret questions and map them into a SPARQL query. We present the first multilingual QALD pipeline that induces a model from training data for mapping a natural language question into logica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.09296","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":"1802.09296","created_at":"2026-05-18T00:22:34.159605+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.09296v1","created_at":"2026-05-18T00:22:34.159605+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.09296","created_at":"2026-05-18T00:22:34.159605+00:00"},{"alias_kind":"pith_short_12","alias_value":"44LZRX4XCZDP","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"44LZRX4XCZDPTYKS","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"44LZRX4X","created_at":"2026-05-18T12:32:05.422762+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/44LZRX4XCZDPTYKSWNO553EUSS","json":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS.json","graph_json":"https://pith.science/api/pith-number/44LZRX4XCZDPTYKSWNO553EUSS/graph.json","events_json":"https://pith.science/api/pith-number/44LZRX4XCZDPTYKSWNO553EUSS/events.json","paper":"https://pith.science/paper/44LZRX4X"},"agent_actions":{"view_html":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS","download_json":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS.json","view_paper":"https://pith.science/paper/44LZRX4X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.09296&json=true","fetch_graph":"https://pith.science/api/pith-number/44LZRX4XCZDPTYKSWNO553EUSS/graph.json","fetch_events":"https://pith.science/api/pith-number/44LZRX4XCZDPTYKSWNO553EUSS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS/action/storage_attestation","attest_author":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS/action/author_attestation","sign_citation":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS/action/citation_signature","submit_replication":"https://pith.science/pith/44LZRX4XCZDPTYKSWNO553EUSS/action/replication_record"}},"created_at":"2026-05-18T00:22:34.159605+00:00","updated_at":"2026-05-18T00:22:34.159605+00:00"}