{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:VD4KP4LUSU56H5JGFGBYTYUEMX","short_pith_number":"pith:VD4KP4LU","schema_version":"1.0","canonical_sha256":"a8f8a7f174953be3f526298389e28465d9d58544bbab964335fe8ec075382e5c","source":{"kind":"arxiv","id":"1807.07964","version":1},"attestation_state":"computed","paper":{"title":"Question-Aware Sentence Gating Networks for Question and Answering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"David Keetae Park, Hyungjong Noh, Jaegul Choo, Minjeong Kim, Yeonsoo Lee","submitted_at":"2018-07-20T07:35:43Z","abstract_excerpt":"Machine comprehension question answering, which finds an answer to the question given a passage, involves high-level reasoning processes of understanding and tracking the relevant contents across various semantic units such as words, phrases, and sentences in a document. This paper proposes the novel question-aware sentence gating networks that directly incorporate the sentence-level information into word-level encoding processes. To this end, our model first learns question-aware sentence representations and then dynamically combines them with word-level representations, resulting in semantic"},"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":"1807.07964","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-07-20T07:35:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ab4dc8ca1c70777ce44e462709839811c4878beade326cd9dfa97d78dda84aa8","abstract_canon_sha256":"be0fce3c1abca0d3937dcb292664242d348749021ced2a794581f4d5c9d511fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:14.582303Z","signature_b64":"ZX7d7KSpUn2syVmTx5vpv5axxpkRlgJ5g1ISqFIv8UunqqbP5iM5l+lz8BvHjV6CwzziZS6vA1Clb8oOPHl5Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8f8a7f174953be3f526298389e28465d9d58544bbab964335fe8ec075382e5c","last_reissued_at":"2026-05-18T00:10:14.581687Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:14.581687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Question-Aware Sentence Gating Networks for Question and Answering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"David Keetae Park, Hyungjong Noh, Jaegul Choo, Minjeong Kim, Yeonsoo Lee","submitted_at":"2018-07-20T07:35:43Z","abstract_excerpt":"Machine comprehension question answering, which finds an answer to the question given a passage, involves high-level reasoning processes of understanding and tracking the relevant contents across various semantic units such as words, phrases, and sentences in a document. This paper proposes the novel question-aware sentence gating networks that directly incorporate the sentence-level information into word-level encoding processes. To this end, our model first learns question-aware sentence representations and then dynamically combines them with word-level representations, resulting in semantic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.07964","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":"1807.07964","created_at":"2026-05-18T00:10:14.581801+00:00"},{"alias_kind":"arxiv_version","alias_value":"1807.07964v1","created_at":"2026-05-18T00:10:14.581801+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.07964","created_at":"2026-05-18T00:10:14.581801+00:00"},{"alias_kind":"pith_short_12","alias_value":"VD4KP4LUSU56","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_16","alias_value":"VD4KP4LUSU56H5JG","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_8","alias_value":"VD4KP4LU","created_at":"2026-05-18T12:32:59.047623+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/VD4KP4LUSU56H5JGFGBYTYUEMX","json":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX.json","graph_json":"https://pith.science/api/pith-number/VD4KP4LUSU56H5JGFGBYTYUEMX/graph.json","events_json":"https://pith.science/api/pith-number/VD4KP4LUSU56H5JGFGBYTYUEMX/events.json","paper":"https://pith.science/paper/VD4KP4LU"},"agent_actions":{"view_html":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX","download_json":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX.json","view_paper":"https://pith.science/paper/VD4KP4LU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1807.07964&json=true","fetch_graph":"https://pith.science/api/pith-number/VD4KP4LUSU56H5JGFGBYTYUEMX/graph.json","fetch_events":"https://pith.science/api/pith-number/VD4KP4LUSU56H5JGFGBYTYUEMX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX/action/storage_attestation","attest_author":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX/action/author_attestation","sign_citation":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX/action/citation_signature","submit_replication":"https://pith.science/pith/VD4KP4LUSU56H5JGFGBYTYUEMX/action/replication_record"}},"created_at":"2026-05-18T00:10:14.581801+00:00","updated_at":"2026-05-18T00:10:14.581801+00:00"}