{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EUAJO6CLC2UAAGNKTSF252LT37","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":"9e6dbe2c8764f6aca756d4097732ab631b3fd1cbd8d04944a9f737afb9d977c6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-31T06:59:46Z","title_canon_sha256":"a5eccca23c95b7c14ecdeffb65acac6852a31099d6854edba7eb0fb9d6f632fc"},"schema_version":"1.0","source":{"id":"1909.00153","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.00153","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"arxiv_version","alias_value":"1909.00153v3","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.00153","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_12","alias_value":"EUAJO6CLC2UA","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_16","alias_value":"EUAJO6CLC2UAAGNK","created_at":"2026-07-05T00:49:24Z"},{"alias_kind":"pith_short_8","alias_value":"EUAJO6CL","created_at":"2026-07-05T00:49:24Z"}],"graph_snapshots":[{"event_id":"sha256:4d08be745568e8f9afe7a83c8b6921a420d47c71c44798b0cf51732bb54715ed","target":"graph","created_at":"2026-07-05T00:49:24Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1909.00153/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contextual word embeddings (e.g. GPT, BERT, ELMo, etc.) have demonstrated state-of-the-art performance on various NLP tasks. Recent work with the multilingual version of BERT has shown that the model performs very well in zero-shot and zero-resource cross-lingual settings, where only labeled English data is used to finetune the model. We improve upon multilingual BERT's zero-resource cross-lingual performance via adversarial learning. We report the magnitude of the improvement on the multilingual MLDoc text classification and CoNLL 2002/2003 named entity recognition tasks. Furthermore, we show","authors_text":"Phillip Keung, Vikas Bhardwaj, Yichao Lu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-31T06:59:46Z","title":"Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.00153","kind":"arxiv","version":3},"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:e70a5670a852a9060324ecf7ba85f17403cf956a99ff4f66759bd706160f8ef7","target":"record","created_at":"2026-07-05T00:49:24Z","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":"9e6dbe2c8764f6aca756d4097732ab631b3fd1cbd8d04944a9f737afb9d977c6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-31T06:59:46Z","title_canon_sha256":"a5eccca23c95b7c14ecdeffb65acac6852a31099d6854edba7eb0fb9d6f632fc"},"schema_version":"1.0","source":{"id":"1909.00153","kind":"arxiv","version":3}},"canonical_sha256":"250097784b16a80019aa9c8baee973dff46631044ffda9964ede792834b14fcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"250097784b16a80019aa9c8baee973dff46631044ffda9964ede792834b14fcf","first_computed_at":"2026-07-05T00:49:24.364153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:49:24.364153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H9uG8yT51KewlbAXreezvm2lo6TP0pMxpnTrTd8F2e0tkWWIBWcg7T/Li7f+96fN+lPQ52yTajOtGD1Ni0YBBA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:49:24.364670Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.00153","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e70a5670a852a9060324ecf7ba85f17403cf956a99ff4f66759bd706160f8ef7","sha256:4d08be745568e8f9afe7a83c8b6921a420d47c71c44798b0cf51732bb54715ed"],"state_sha256":"7b776dce556f2237865046badc70756471ead3d3230b006f6e4f717531c45976"}