{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:BRPU57REKTYPKWRW7WU2MTTH53","short_pith_number":"pith:BRPU57RE","schema_version":"1.0","canonical_sha256":"0c5f4efe2454f0f55a36fda9a64e67eec039c763a4555255192fcb80beaa2d0f","source":{"kind":"arxiv","id":"2307.15432","version":2},"attestation_state":"computed","paper":{"title":"CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiang Li, Xiaoping Wang, Yingjian Liu, Zhigang Zeng","submitted_at":"2023-07-28T09:29:42Z","abstract_excerpt":"Multimodal emotion recognition in conversation (ERC) has garnered growing attention from research communities in various fields. In this paper, we propose a Cross-modal Fusion Network with Emotion-Shift Awareness (CFN-ESA) for ERC. Extant approaches employ each modality equally without distinguishing the amount of emotional information in these modalities, rendering it hard to adequately extract complementary information from multimodal data. To cope with this problem, in CFN-ESA, we treat textual modality as the primary source of emotional information, while visual and acoustic modalities are"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.15432","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-28T09:29:42Z","cross_cats_sorted":[],"title_canon_sha256":"38f2bd71713519cdd14d76281fd81f5f40ea544ecf4e06a37ba64b0f56ea319d","abstract_canon_sha256":"9d29c6c654e920ccf6d88dbf4fd553afd6060d427b51c6c99c78ab365d6d5eaf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:07:28.569888Z","signature_b64":"47vG3shNwsu8xAN1QviZ7SKhkG7xDeRYZ5+G/kR9zyAkw6VAjRMEJu/XWI73GISVKTJQIt4RZV+x7Pdmjz9RBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c5f4efe2454f0f55a36fda9a64e67eec039c763a4555255192fcb80beaa2d0f","last_reissued_at":"2026-07-05T08:07:28.569403Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:07:28.569403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiang Li, Xiaoping Wang, Yingjian Liu, Zhigang Zeng","submitted_at":"2023-07-28T09:29:42Z","abstract_excerpt":"Multimodal emotion recognition in conversation (ERC) has garnered growing attention from research communities in various fields. In this paper, we propose a Cross-modal Fusion Network with Emotion-Shift Awareness (CFN-ESA) for ERC. Extant approaches employ each modality equally without distinguishing the amount of emotional information in these modalities, rendering it hard to adequately extract complementary information from multimodal data. To cope with this problem, in CFN-ESA, we treat textual modality as the primary source of emotional information, while visual and acoustic modalities are"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.15432","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.15432/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.15432","created_at":"2026-07-05T08:07:28.569461+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.15432v2","created_at":"2026-07-05T08:07:28.569461+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.15432","created_at":"2026-07-05T08:07:28.569461+00:00"},{"alias_kind":"pith_short_12","alias_value":"BRPU57REKTYP","created_at":"2026-07-05T08:07:28.569461+00:00"},{"alias_kind":"pith_short_16","alias_value":"BRPU57REKTYPKWRW","created_at":"2026-07-05T08:07:28.569461+00:00"},{"alias_kind":"pith_short_8","alias_value":"BRPU57RE","created_at":"2026-07-05T08:07:28.569461+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53","json":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53.json","graph_json":"https://pith.science/api/pith-number/BRPU57REKTYPKWRW7WU2MTTH53/graph.json","events_json":"https://pith.science/api/pith-number/BRPU57REKTYPKWRW7WU2MTTH53/events.json","paper":"https://pith.science/paper/BRPU57RE"},"agent_actions":{"view_html":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53","download_json":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53.json","view_paper":"https://pith.science/paper/BRPU57RE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.15432&json=true","fetch_graph":"https://pith.science/api/pith-number/BRPU57REKTYPKWRW7WU2MTTH53/graph.json","fetch_events":"https://pith.science/api/pith-number/BRPU57REKTYPKWRW7WU2MTTH53/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53/action/storage_attestation","attest_author":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53/action/author_attestation","sign_citation":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53/action/citation_signature","submit_replication":"https://pith.science/pith/BRPU57REKTYPKWRW7WU2MTTH53/action/replication_record"}},"created_at":"2026-07-05T08:07:28.569461+00:00","updated_at":"2026-07-05T08:07:28.569461+00:00"}