{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RTRYM2PEMMIV2NMCWHGIN5SKR5","short_pith_number":"pith:RTRYM2PE","canonical_record":{"source":{"id":"1807.01554","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T13:07:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e0ca74c57918ecd7e3612ea5ee9d10fb26b97331904d3766ae160cec01bcff28","abstract_canon_sha256":"cb307f4e52f25adfd65609359f9d5677f415d19de2b9900ee67696a7e18d06e9"},"schema_version":"1.0"},"canonical_sha256":"8ce38669e463115d3582b1cc86f64a8f4d59b9283c619d6c64f3261b37b8d6f4","source":{"kind":"arxiv","id":"1807.01554","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.01554","created_at":"2026-05-18T00:11:29Z"},{"alias_kind":"arxiv_version","alias_value":"1807.01554v1","created_at":"2026-05-18T00:11:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.01554","created_at":"2026-05-18T00:11:29Z"},{"alias_kind":"pith_short_12","alias_value":"RTRYM2PEMMIV","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RTRYM2PEMMIV2NMC","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RTRYM2PE","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RTRYM2PEMMIV2NMCWHGIN5SKR5","target":"record","payload":{"canonical_record":{"source":{"id":"1807.01554","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T13:07:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e0ca74c57918ecd7e3612ea5ee9d10fb26b97331904d3766ae160cec01bcff28","abstract_canon_sha256":"cb307f4e52f25adfd65609359f9d5677f415d19de2b9900ee67696a7e18d06e9"},"schema_version":"1.0"},"canonical_sha256":"8ce38669e463115d3582b1cc86f64a8f4d59b9283c619d6c64f3261b37b8d6f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:29.481751Z","signature_b64":"Sv9w5vXIfB9YSOovL8QWsCT8IcHiXwf+WhLSvjDGpS9jxtGQljWagxZyrIM+7Ca7vTyluNNCGaJQH1lvdTOdCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ce38669e463115d3582b1cc86f64a8f4d59b9283c619d6c64f3261b37b8d6f4","last_reissued_at":"2026-05-18T00:11:29.481343Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:29.481343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.01554","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:11:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q7B8qpgiBCf7pCkze0oPVo4wi9G9GZrpIpF2XTHtOOadVD3i1PAEyAT3HKxM/R6pZ53NIKFONp1JKUWxJmcsAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:17:30.686988Z"},"content_sha256":"6376d467f69a89a87993c841b85dcaee1b4e5dd0ef9ff96dc5913e7bd3001460","schema_version":"1.0","event_id":"sha256:6376d467f69a89a87993c841b85dcaee1b4e5dd0ef9ff96dc5913e7bd3001460"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RTRYM2PEMMIV2NMCWHGIN5SKR5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ting Liu, Wanxiang Che, Yijia Liu, Yutai Hou","submitted_at":"2018-07-04T13:07:53Z","abstract_excerpt":"In this paper, we study the problem of data augmentation for language understanding in task-oriented dialogue system. In contrast to previous work which augments an utterance without considering its relation with other utterances, we propose a sequence-to-sequence generation based data augmentation framework that leverages one utterance's same semantic alternatives in the training data. A novel diversity rank is incorporated into the utterance representation to make the model produce diverse utterances and these diversely augmented utterances help to improve the language understanding module. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.01554","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:11:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ouC35D71qmmPYW59+AyuxGKDgSdiLTPkAHdNLjdYWfwY0YXJg0ehPQkWX6hKgwpTvglQs3XjqEFtdCZBJN4SAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:17:30.687349Z"},"content_sha256":"44d43046413e13f41fa03b9e6f6fc21af55123404c797516027269157aeda9eb","schema_version":"1.0","event_id":"sha256:44d43046413e13f41fa03b9e6f6fc21af55123404c797516027269157aeda9eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5/bundle.json","state_url":"https://pith.science/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T19:17:30Z","links":{"resolver":"https://pith.science/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5","bundle":"https://pith.science/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5/bundle.json","state":"https://pith.science/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RTRYM2PEMMIV2NMCWHGIN5SKR5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RTRYM2PEMMIV2NMCWHGIN5SKR5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cb307f4e52f25adfd65609359f9d5677f415d19de2b9900ee67696a7e18d06e9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T13:07:53Z","title_canon_sha256":"e0ca74c57918ecd7e3612ea5ee9d10fb26b97331904d3766ae160cec01bcff28"},"schema_version":"1.0","source":{"id":"1807.01554","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.01554","created_at":"2026-05-18T00:11:29Z"},{"alias_kind":"arxiv_version","alias_value":"1807.01554v1","created_at":"2026-05-18T00:11:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.01554","created_at":"2026-05-18T00:11:29Z"},{"alias_kind":"pith_short_12","alias_value":"RTRYM2PEMMIV","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RTRYM2PEMMIV2NMC","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RTRYM2PE","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:44d43046413e13f41fa03b9e6f6fc21af55123404c797516027269157aeda9eb","target":"graph","created_at":"2026-05-18T00:11:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper, we study the problem of data augmentation for language understanding in task-oriented dialogue system. In contrast to previous work which augments an utterance without considering its relation with other utterances, we propose a sequence-to-sequence generation based data augmentation framework that leverages one utterance's same semantic alternatives in the training data. A novel diversity rank is incorporated into the utterance representation to make the model produce diverse utterances and these diversely augmented utterances help to improve the language understanding module. ","authors_text":"Ting Liu, Wanxiang Che, Yijia Liu, Yutai Hou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T13:07:53Z","title":"Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.01554","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6376d467f69a89a87993c841b85dcaee1b4e5dd0ef9ff96dc5913e7bd3001460","target":"record","created_at":"2026-05-18T00:11:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cb307f4e52f25adfd65609359f9d5677f415d19de2b9900ee67696a7e18d06e9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T13:07:53Z","title_canon_sha256":"e0ca74c57918ecd7e3612ea5ee9d10fb26b97331904d3766ae160cec01bcff28"},"schema_version":"1.0","source":{"id":"1807.01554","kind":"arxiv","version":1}},"canonical_sha256":"8ce38669e463115d3582b1cc86f64a8f4d59b9283c619d6c64f3261b37b8d6f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ce38669e463115d3582b1cc86f64a8f4d59b9283c619d6c64f3261b37b8d6f4","first_computed_at":"2026-05-18T00:11:29.481343Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:29.481343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Sv9w5vXIfB9YSOovL8QWsCT8IcHiXwf+WhLSvjDGpS9jxtGQljWagxZyrIM+7Ca7vTyluNNCGaJQH1lvdTOdCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:29.481751Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.01554","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6376d467f69a89a87993c841b85dcaee1b4e5dd0ef9ff96dc5913e7bd3001460","sha256:44d43046413e13f41fa03b9e6f6fc21af55123404c797516027269157aeda9eb"],"state_sha256":"1501418321b9b22ae8269a756f5a12909ee191e135bf5fba644523485f22b18c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1BUc2bzKxUyW8R9XEVyAIZUzSclsrh45PBD2nH/gkA2/fouA/RfJDR+mmSQogUaol9lMDKAneynQnJ3GZ4LrAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T19:17:30.689294Z","bundle_sha256":"7f12280b0c968249b8a37dc3d82671e96aaf794507b2b62cf610482ebf17d457"}}