{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:CY5YO4ITG2TKBGEDWSJ27OHUNH","short_pith_number":"pith:CY5YO4IT","schema_version":"1.0","canonical_sha256":"163b87711336a6a09883b493afb8f469ead5285429c278a28fff0ca66c706c57","source":{"kind":"arxiv","id":"1606.07967","version":1},"attestation_state":"computed","paper":{"title":"Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dilek Hakkani-Tur, Larry Heck, Lu Wang","submitted_at":"2016-06-25T20:54:49Z","abstract_excerpt":"Training statistical dialog models in spoken dialog systems (SDS) requires large amounts of annotated data. The lack of scalable methods for data mining and annotation poses a significant hurdle for state-of-the-art statistical dialog managers. This paper presents an approach that directly leverage billions of web search and browse sessions to overcome this hurdle. The key insight is that task completion through web search and browse sessions is (a) predictable and (b) generalizes to spoken dialog task completion. The new method automatically mines behavioral search and browse patterns from we"},"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":"1606.07967","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-25T20:54:49Z","cross_cats_sorted":[],"title_canon_sha256":"6d1bfc7a77d0d9a501274dcc497fc44c7691ffdad4b6c1cdc006b41de5c6ffd4","abstract_canon_sha256":"ca5c5959dcfe6bbc21a00a4faf692c3868adc8e79da5a25e17c077121e7759ac"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:54.081456Z","signature_b64":"9M341RYLyIMLKKBUoC3PqzaNaefUzokyJd0EVmMd1uQiqF+HD+aPytHMeTPqO6P2nxXVSp7YaFKqnBp6/cthBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"163b87711336a6a09883b493afb8f469ead5285429c278a28fff0ca66c706c57","last_reissued_at":"2026-05-18T01:11:54.081122Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:54.081122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dilek Hakkani-Tur, Larry Heck, Lu Wang","submitted_at":"2016-06-25T20:54:49Z","abstract_excerpt":"Training statistical dialog models in spoken dialog systems (SDS) requires large amounts of annotated data. The lack of scalable methods for data mining and annotation poses a significant hurdle for state-of-the-art statistical dialog managers. This paper presents an approach that directly leverage billions of web search and browse sessions to overcome this hurdle. The key insight is that task completion through web search and browse sessions is (a) predictable and (b) generalizes to spoken dialog task completion. The new method automatically mines behavioral search and browse patterns from we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.07967","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":"1606.07967","created_at":"2026-05-18T01:11:54.081175+00:00"},{"alias_kind":"arxiv_version","alias_value":"1606.07967v1","created_at":"2026-05-18T01:11:54.081175+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.07967","created_at":"2026-05-18T01:11:54.081175+00:00"},{"alias_kind":"pith_short_12","alias_value":"CY5YO4ITG2TK","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_16","alias_value":"CY5YO4ITG2TKBGED","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_8","alias_value":"CY5YO4IT","created_at":"2026-05-18T12:30:09.641336+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/CY5YO4ITG2TKBGEDWSJ27OHUNH","json":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH.json","graph_json":"https://pith.science/api/pith-number/CY5YO4ITG2TKBGEDWSJ27OHUNH/graph.json","events_json":"https://pith.science/api/pith-number/CY5YO4ITG2TKBGEDWSJ27OHUNH/events.json","paper":"https://pith.science/paper/CY5YO4IT"},"agent_actions":{"view_html":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH","download_json":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH.json","view_paper":"https://pith.science/paper/CY5YO4IT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1606.07967&json=true","fetch_graph":"https://pith.science/api/pith-number/CY5YO4ITG2TKBGEDWSJ27OHUNH/graph.json","fetch_events":"https://pith.science/api/pith-number/CY5YO4ITG2TKBGEDWSJ27OHUNH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH/action/storage_attestation","attest_author":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH/action/author_attestation","sign_citation":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH/action/citation_signature","submit_replication":"https://pith.science/pith/CY5YO4ITG2TKBGEDWSJ27OHUNH/action/replication_record"}},"created_at":"2026-05-18T01:11:54.081175+00:00","updated_at":"2026-05-18T01:11:54.081175+00:00"}