{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PMF4UX63FU3DCL536252ZKCDFU","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":"56ee0295e4051522fd4a4759bab24dfc080e1256e5a7cf6dd38fcba80017c4e7","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-11T09:55:41Z","title_canon_sha256":"c3d989ac3f76da7fe46c272072a09d39b5f74d0d06fbb80a7895d81f8ed7de8f"},"schema_version":"1.0","source":{"id":"1904.05606","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.05606","created_at":"2026-05-17T23:48:48Z"},{"alias_kind":"arxiv_version","alias_value":"1904.05606v1","created_at":"2026-05-17T23:48:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.05606","created_at":"2026-05-17T23:48:48Z"},{"alias_kind":"pith_short_12","alias_value":"PMF4UX63FU3D","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"PMF4UX63FU3DCL53","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"PMF4UX63","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:6e00d09f0f380287299cedd69142c74d5f1e8d8cb1e4392d85adf9199b9eb240","target":"graph","created_at":"2026-05-17T23:48:48Z","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":"This paper deals with multi-lingual dialogue act (DA) recognition. The proposed approaches are based on deep neural networks and use word2vec embeddings for word representation. Two multi-lingual models are proposed for this task. The first approach uses one general model trained on the embeddings from all available languages. The second method trains the model on a single pivot language and a linear transformation method is used to project other languages onto the pivot language. The popular convolutional neural network and LSTM architectures with different set-ups are used as classifiers. To","authors_text":"Christophe Cerisara, Ji\\v{r}\\'i Mart\\'inek, Ladislav Lenc, Pavel Kr\\'al","cross_cats":["cs.AI","cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-11T09:55:41Z","title":"Multi-lingual Dialogue Act Recognition with Deep Learning Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.05606","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:fdcdfc7feda56c1336a1692db03617ad1b836a7b8eb68ffb2bdedc6dcdb2c756","target":"record","created_at":"2026-05-17T23:48:48Z","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":"56ee0295e4051522fd4a4759bab24dfc080e1256e5a7cf6dd38fcba80017c4e7","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-11T09:55:41Z","title_canon_sha256":"c3d989ac3f76da7fe46c272072a09d39b5f74d0d06fbb80a7895d81f8ed7de8f"},"schema_version":"1.0","source":{"id":"1904.05606","kind":"arxiv","version":1}},"canonical_sha256":"7b0bca5fdb2d36312fbbf6bbaca8432d269c6292c97db457bd25612c7b53ee81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b0bca5fdb2d36312fbbf6bbaca8432d269c6292c97db457bd25612c7b53ee81","first_computed_at":"2026-05-17T23:48:48.967808Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:48.967808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VfPxWAVLbilGKJlnB5stdqY+iz/K57GBTUDiqK84gEiCsuLnsaX1GfSu1UcmixKYEXtMhBqcYnvzezP9oF8/DQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:48.968349Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.05606","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fdcdfc7feda56c1336a1692db03617ad1b836a7b8eb68ffb2bdedc6dcdb2c756","sha256:6e00d09f0f380287299cedd69142c74d5f1e8d8cb1e4392d85adf9199b9eb240"],"state_sha256":"3972f192a588efa5ea73b882690db44b1db6dccdd6e9777bffa02993fdabf8fa"}