{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:WIQRS446CU3JNYFXSANE6DANIB","short_pith_number":"pith:WIQRS446","schema_version":"1.0","canonical_sha256":"b22119739e153696e0b7901a4f0c0d4048ad0dff95d9780c61e05683e755e3bf","source":{"kind":"arxiv","id":"1908.08191","version":1},"attestation_state":"computed","paper":{"title":"Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chao-Chun Hsu, Kuan-Yen Lin, Lun-Wei Ku, Yun-Nung Chen","submitted_at":"2019-08-22T03:53:36Z","abstract_excerpt":"With increasing information from social media, there are more and more videos available. Therefore, the ability to reason on a video is important and deserves to be discussed. TheDialog System Technology Challenge (DSTC7) (Yoshino et al. 2018) proposed an Audio Visual Scene-aware Dialog (AVSD) task, which contains five modalities including video, dialogue history, summary, and caption, as a scene-aware environment. In this paper, we propose the entropy-enhanced dynamic memory network (DMN) to effectively model video modality. The attention-based GRU in the proposed model can improve the model'"},"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":"1908.08191","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-22T03:53:36Z","cross_cats_sorted":[],"title_canon_sha256":"3e4ed2c03ad2e48350385c9101e786d60f5a587c28fb1b4283f40731120fccaa","abstract_canon_sha256":"b5d323a51f595dd94d951549ba06348451027d8f47f57cee14d0b8d963b6242c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:10.428140Z","signature_b64":"kxACbNTfUxT8oCVpCzE8a2gZ6FcGrZlc3cNgIR+Cl8VdWaCKF0fMqwt7GKf6UylJYLrN0PokkWdnvfs2pTTMDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b22119739e153696e0b7901a4f0c0d4048ad0dff95d9780c61e05683e755e3bf","last_reissued_at":"2026-07-04T23:59:10.427769Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:10.427769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chao-Chun Hsu, Kuan-Yen Lin, Lun-Wei Ku, Yun-Nung Chen","submitted_at":"2019-08-22T03:53:36Z","abstract_excerpt":"With increasing information from social media, there are more and more videos available. Therefore, the ability to reason on a video is important and deserves to be discussed. TheDialog System Technology Challenge (DSTC7) (Yoshino et al. 2018) proposed an Audio Visual Scene-aware Dialog (AVSD) task, which contains five modalities including video, dialogue history, summary, and caption, as a scene-aware environment. In this paper, we propose the entropy-enhanced dynamic memory network (DMN) to effectively model video modality. The attention-based GRU in the proposed model can improve the model'"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08191","kind":"arxiv","version":1},"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/1908.08191/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":"1908.08191","created_at":"2026-07-04T23:59:10.427826+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.08191v1","created_at":"2026-07-04T23:59:10.427826+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08191","created_at":"2026-07-04T23:59:10.427826+00:00"},{"alias_kind":"pith_short_12","alias_value":"WIQRS446CU3J","created_at":"2026-07-04T23:59:10.427826+00:00"},{"alias_kind":"pith_short_16","alias_value":"WIQRS446CU3JNYFX","created_at":"2026-07-04T23:59:10.427826+00:00"},{"alias_kind":"pith_short_8","alias_value":"WIQRS446","created_at":"2026-07-04T23:59:10.427826+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/WIQRS446CU3JNYFXSANE6DANIB","json":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB.json","graph_json":"https://pith.science/api/pith-number/WIQRS446CU3JNYFXSANE6DANIB/graph.json","events_json":"https://pith.science/api/pith-number/WIQRS446CU3JNYFXSANE6DANIB/events.json","paper":"https://pith.science/paper/WIQRS446"},"agent_actions":{"view_html":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB","download_json":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB.json","view_paper":"https://pith.science/paper/WIQRS446","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.08191&json=true","fetch_graph":"https://pith.science/api/pith-number/WIQRS446CU3JNYFXSANE6DANIB/graph.json","fetch_events":"https://pith.science/api/pith-number/WIQRS446CU3JNYFXSANE6DANIB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB/action/storage_attestation","attest_author":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB/action/author_attestation","sign_citation":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB/action/citation_signature","submit_replication":"https://pith.science/pith/WIQRS446CU3JNYFXSANE6DANIB/action/replication_record"}},"created_at":"2026-07-04T23:59:10.427826+00:00","updated_at":"2026-07-04T23:59:10.427826+00:00"}