{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BSH7DX4MY4XKBPTS23B2HBXEQU","short_pith_number":"pith:BSH7DX4M","canonical_record":{"source":{"id":"1904.00132","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-03-30T01:51:24Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"48d361b5b609a9b17ecb4ce46c48a1b11baab4e817ca1939fed2a1511748db3f","abstract_canon_sha256":"8d0260cfa8814196f8c1238dbe70053629828601da6d9dbc6c8095cb0f7870b8"},"schema_version":"1.0"},"canonical_sha256":"0c8ff1df8cc72ea0be72d6c3a386e4851ce5116d3367eafc063a4aa53f6241c0","source":{"kind":"arxiv","id":"1904.00132","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00132","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00132v2","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00132","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"pith_short_12","alias_value":"BSH7DX4MY4XK","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BSH7DX4MY4XKBPTS","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BSH7DX4M","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BSH7DX4MY4XKBPTS23B2HBXEQU","target":"record","payload":{"canonical_record":{"source":{"id":"1904.00132","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-03-30T01:51:24Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"48d361b5b609a9b17ecb4ce46c48a1b11baab4e817ca1939fed2a1511748db3f","abstract_canon_sha256":"8d0260cfa8814196f8c1238dbe70053629828601da6d9dbc6c8095cb0f7870b8"},"schema_version":"1.0"},"canonical_sha256":"0c8ff1df8cc72ea0be72d6c3a386e4851ce5116d3367eafc063a4aa53f6241c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:33.826171Z","signature_b64":"O3mSTFNMDNh1ENphhPjPpXogUFvp/WoIz6u8YCjPeoLdSF4EI+5E1qsvvOu26ZQwDIQ6/drMTnU0+EQzYDOlBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c8ff1df8cc72ea0be72d6c3a386e4851ce5116d3367eafc063a4aa53f6241c0","last_reissued_at":"2026-05-17T23:44:33.825578Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:33.825578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.00132","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+1oBal/yelTsRlUTupK9unJwrhp1y053z1Nkj3zcTSt5HcXQEt0xb45cp1hiMolh80vuk3rPnehMhCh2n/1UBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T03:23:56.842025Z"},"content_sha256":"b63ee320a61d776d3e4aa4091e3c1ba170b1a154425b87d7a6e760d18a959923","schema_version":"1.0","event_id":"sha256:b63ee320a61d776d3e4aa4091e3c1ba170b1a154425b87d7a6e760d18a959923"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BSH7DX4MY4XKBPTS23B2HBXEQU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Amine Trabelsi, Chenyang Huang, Osmar R. Za\\\"iane","submitted_at":"2019-03-30T01:51:24Z","abstract_excerpt":"This paper describes the system submitted by ANA Team for the SemEval-2019 Task 3: EmoContext. We propose a novel Hierarchical LSTMs for Contextual Emotion Detection (HRLCE) model. It classifies the emotion of an utterance given its conversational context. The results show that, in this task, our HRCLE outperforms the most recent state-of-the-art text classification framework: BERT. We combine the results generated by BERT and HRCLE to achieve an overall score of 0.7709 which ranked 5th on the final leader board of the competition among 165 Teams."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00132","kind":"arxiv","version":2},"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":"2026-05-17T23:44:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kLf7lcIvgsp+B3jGPfuX+hYWN2VD7sFEz85XM0HYeQp8XK+wcyZZgxTVqei/lWsDLKawI5lKkWAoCaBFlHSZAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T03:23:56.842364Z"},"content_sha256":"8315b93d7da65e3e30b795170b451e0c5e410726270b6f493e7176e6ee6a7a4e","schema_version":"1.0","event_id":"sha256:8315b93d7da65e3e30b795170b451e0c5e410726270b6f493e7176e6ee6a7a4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BSH7DX4MY4XKBPTS23B2HBXEQU/bundle.json","state_url":"https://pith.science/pith/BSH7DX4MY4XKBPTS23B2HBXEQU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BSH7DX4MY4XKBPTS23B2HBXEQU/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":"2026-06-03T03:23:56Z","links":{"resolver":"https://pith.science/pith/BSH7DX4MY4XKBPTS23B2HBXEQU","bundle":"https://pith.science/pith/BSH7DX4MY4XKBPTS23B2HBXEQU/bundle.json","state":"https://pith.science/pith/BSH7DX4MY4XKBPTS23B2HBXEQU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BSH7DX4MY4XKBPTS23B2HBXEQU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BSH7DX4MY4XKBPTS23B2HBXEQU","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":"8d0260cfa8814196f8c1238dbe70053629828601da6d9dbc6c8095cb0f7870b8","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-03-30T01:51:24Z","title_canon_sha256":"48d361b5b609a9b17ecb4ce46c48a1b11baab4e817ca1939fed2a1511748db3f"},"schema_version":"1.0","source":{"id":"1904.00132","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00132","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00132v2","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00132","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"pith_short_12","alias_value":"BSH7DX4MY4XK","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BSH7DX4MY4XKBPTS","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BSH7DX4M","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:8315b93d7da65e3e30b795170b451e0c5e410726270b6f493e7176e6ee6a7a4e","target":"graph","created_at":"2026-05-17T23:44:33Z","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 describes the system submitted by ANA Team for the SemEval-2019 Task 3: EmoContext. We propose a novel Hierarchical LSTMs for Contextual Emotion Detection (HRLCE) model. It classifies the emotion of an utterance given its conversational context. The results show that, in this task, our HRCLE outperforms the most recent state-of-the-art text classification framework: BERT. We combine the results generated by BERT and HRCLE to achieve an overall score of 0.7709 which ranked 5th on the final leader board of the competition among 165 Teams.","authors_text":"Amine Trabelsi, Chenyang Huang, Osmar R. Za\\\"iane","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-03-30T01:51:24Z","title":"ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00132","kind":"arxiv","version":2},"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:b63ee320a61d776d3e4aa4091e3c1ba170b1a154425b87d7a6e760d18a959923","target":"record","created_at":"2026-05-17T23:44:33Z","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":"8d0260cfa8814196f8c1238dbe70053629828601da6d9dbc6c8095cb0f7870b8","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-03-30T01:51:24Z","title_canon_sha256":"48d361b5b609a9b17ecb4ce46c48a1b11baab4e817ca1939fed2a1511748db3f"},"schema_version":"1.0","source":{"id":"1904.00132","kind":"arxiv","version":2}},"canonical_sha256":"0c8ff1df8cc72ea0be72d6c3a386e4851ce5116d3367eafc063a4aa53f6241c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c8ff1df8cc72ea0be72d6c3a386e4851ce5116d3367eafc063a4aa53f6241c0","first_computed_at":"2026-05-17T23:44:33.825578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:33.825578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O3mSTFNMDNh1ENphhPjPpXogUFvp/WoIz6u8YCjPeoLdSF4EI+5E1qsvvOu26ZQwDIQ6/drMTnU0+EQzYDOlBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:33.826171Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.00132","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b63ee320a61d776d3e4aa4091e3c1ba170b1a154425b87d7a6e760d18a959923","sha256:8315b93d7da65e3e30b795170b451e0c5e410726270b6f493e7176e6ee6a7a4e"],"state_sha256":"c5e7b9ab333539c98df125d2e6098748baf3d2aba39b54c6fb2a6f1e4e68a78d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w46h36lwsqvsHYNOuVR+mdN9g8rw1ptHXAmSUvSC33GYmN31571gSkl2RC1QfLiiImj4vOnjt1wJf7SuwlfaCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T03:23:56.844224Z","bundle_sha256":"db48965d75507a2a03e8d1f12e4e00dda9e356bb356cfe633b7a85f5ce902943"}}