{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:NMIOOJ6JI4HPSJICXZ6F5ZSEOY","short_pith_number":"pith:NMIOOJ6J","schema_version":"1.0","canonical_sha256":"6b10e727c9470ef92502be7c5ee644763d9eceb320ccf9b203928b1466258820","source":{"kind":"arxiv","id":"1805.08983","version":1},"attestation_state":"computed","paper":{"title":"Self-Attention-Based Message-Relevant Response Generation for Neural Conversation Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Doyeon Kong, Jonggu Kim, Jong-Hyeok Lee","submitted_at":"2018-05-23T07:14:21Z","abstract_excerpt":"Using a sequence-to-sequence framework, many neural conversation models for chit-chat succeed in naturalness of the response. Nevertheless, the neural conversation models tend to give generic responses which are not specific to given messages, and it still remains as a challenge. To alleviate the tendency, we propose a method to promote message-relevant and diverse responses for neural conversation model by using self-attention, which is time-efficient as well as effective. Furthermore, we present an investigation of why and how effective self-attention is in deep comparison with the standard "},"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":"1805.08983","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-23T07:14:21Z","cross_cats_sorted":[],"title_canon_sha256":"0399b4e0856654120b8a93775488188ce65b361f8d5a3fa8373ca76017e6ed4a","abstract_canon_sha256":"1ff053233a8b97eea76d1f0004df887666d0c493c4e93f6dfbd6a1834b507296"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:08.878212Z","signature_b64":"jSkLVGrKIoM55JnTFAp+G7Ararwt86Fc3SBw3cpNY7cIRVmdHNoVV2+A9JS0AitEv/uovuYGU6Xz8wucP3CNBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b10e727c9470ef92502be7c5ee644763d9eceb320ccf9b203928b1466258820","last_reissued_at":"2026-05-18T00:15:08.877803Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:08.877803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Self-Attention-Based Message-Relevant Response Generation for Neural Conversation Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Doyeon Kong, Jonggu Kim, Jong-Hyeok Lee","submitted_at":"2018-05-23T07:14:21Z","abstract_excerpt":"Using a sequence-to-sequence framework, many neural conversation models for chit-chat succeed in naturalness of the response. Nevertheless, the neural conversation models tend to give generic responses which are not specific to given messages, and it still remains as a challenge. To alleviate the tendency, we propose a method to promote message-relevant and diverse responses for neural conversation model by using self-attention, which is time-efficient as well as effective. Furthermore, we present an investigation of why and how effective self-attention is in deep comparison with the standard "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.08983","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":""},"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":"1805.08983","created_at":"2026-05-18T00:15:08.877862+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.08983v1","created_at":"2026-05-18T00:15:08.877862+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.08983","created_at":"2026-05-18T00:15:08.877862+00:00"},{"alias_kind":"pith_short_12","alias_value":"NMIOOJ6JI4HP","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_16","alias_value":"NMIOOJ6JI4HPSJIC","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_8","alias_value":"NMIOOJ6J","created_at":"2026-05-18T12:32:40.477152+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/NMIOOJ6JI4HPSJICXZ6F5ZSEOY","json":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY.json","graph_json":"https://pith.science/api/pith-number/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/graph.json","events_json":"https://pith.science/api/pith-number/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/events.json","paper":"https://pith.science/paper/NMIOOJ6J"},"agent_actions":{"view_html":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY","download_json":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY.json","view_paper":"https://pith.science/paper/NMIOOJ6J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.08983&json=true","fetch_graph":"https://pith.science/api/pith-number/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/graph.json","fetch_events":"https://pith.science/api/pith-number/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/action/storage_attestation","attest_author":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/action/author_attestation","sign_citation":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/action/citation_signature","submit_replication":"https://pith.science/pith/NMIOOJ6JI4HPSJICXZ6F5ZSEOY/action/replication_record"}},"created_at":"2026-05-18T00:15:08.877862+00:00","updated_at":"2026-05-18T00:15:08.877862+00:00"}