{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:F7JR2PV76JEQYATMUNO5VC6ZIO","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":"006048fcb8376570ead3045f5c82f842ff73a902e1a766c609f3a01a2a8d30cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-17T21:01:35Z","title_canon_sha256":"c63d67dd5d03f18b2d29592c1fa6838d338c03bf68ab90c723900bc57d724703"},"schema_version":"1.0","source":{"id":"1809.06444","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06444","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06444v1","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06444","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"F7JR2PV76JEQ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F7JR2PV76JEQYATM","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F7JR2PV7","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:024e0300ec65e3f268a58afa6230873f31825e49fa2c8d3e958ad7bfa9eb9d3e","target":"graph","created_at":"2026-05-18T00:05:27Z","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":"Learning intents and slot labels from user utterances is a fundamental step in all spoken language understanding (SLU) and dialog systems. State-of-the-art neural network based methods, after deployment, often suffer from performance degradation on encountering paraphrased utterances, and out-of-vocabulary words, rarely observed in their training set. We address this challenging problem by introducing a novel paraphrasing based SLU model which can be integrated with any existing SLU model in order to improve their overall performance. We propose two new paraphrase generators using RNN and sequ","authors_text":"Avik Ray, Hongxia Jin, Yilin Shen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-17T21:01:35Z","title":"Robust Spoken Language Understanding via Paraphrasing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06444","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":"sha256:175c5899098d8e5444b6f4f2adb1db9df1559f37d2f616646e7c8e54a0ff2e46","target":"record","created_at":"2026-05-18T00:05:27Z","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":"006048fcb8376570ead3045f5c82f842ff73a902e1a766c609f3a01a2a8d30cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-17T21:01:35Z","title_canon_sha256":"c63d67dd5d03f18b2d29592c1fa6838d338c03bf68ab90c723900bc57d724703"},"schema_version":"1.0","source":{"id":"1809.06444","kind":"arxiv","version":1}},"canonical_sha256":"2fd31d3ebff2490c026ca35dda8bd94380e1210cd176e569d664f77ece4dcd11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fd31d3ebff2490c026ca35dda8bd94380e1210cd176e569d664f77ece4dcd11","first_computed_at":"2026-05-18T00:05:27.198895Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:27.198895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xWgS2W3qHJ8je1okIwxLKjXCQf8Zh3Otmcyki+NemZGRsrWBwZFwEfer7hEjdn1j4LFq140vBfh1FjVeii8dDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:27.199433Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.06444","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:175c5899098d8e5444b6f4f2adb1db9df1559f37d2f616646e7c8e54a0ff2e46","sha256:024e0300ec65e3f268a58afa6230873f31825e49fa2c8d3e958ad7bfa9eb9d3e"],"state_sha256":"e00578d6ea896af64f0cf3bb0851d506d2ef270c92780b6c351b0a94bb7fedb5"}