{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:RM3P26EOFWPU7RRALXDMUBKD6Z","short_pith_number":"pith:RM3P26EO","schema_version":"1.0","canonical_sha256":"8b36fd788e2d9f4fc6205dc6ca0543f64f232e67a623a402b16561b163e92674","source":{"kind":"arxiv","id":"1707.07062","version":1},"attestation_state":"computed","paper":{"title":"A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Lu Wang, Xinyu Hua","submitted_at":"2017-07-21T22:42:52Z","abstract_excerpt":"We study the problem of domain adaptation for neural abstractive summarization. We make initial efforts in investigating what information can be transferred to a new domain. Experimental results on news stories and opinion articles indicate that neural summarization model benefits from pre-training based on extractive summaries. We also find that the combination of in-domain and out-of-domain setup yields better summaries when in-domain data is insufficient. Further analysis shows that, the model is capable to select salient content even trained on out-of-domain data, but requires in-domain da"},"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":"1707.07062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-21T22:42:52Z","cross_cats_sorted":[],"title_canon_sha256":"da0e577fc6ef47fce32addb7208a65c0d7b85c702a00126fcbd2b940d48419f7","abstract_canon_sha256":"c920d05c0b5404b1d46ff289d988e42a86e2f6f5d71c19402360c9e50d4314d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:45.472402Z","signature_b64":"qgtD0N4w4b6l4EnCHXkxZzgpYZiIvp8nTxb6rx69+/jaLXvte44R1hZbofSmXS85CbqN/G9Xr9QypTjD9kDzAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b36fd788e2d9f4fc6205dc6ca0543f64f232e67a623a402b16561b163e92674","last_reissued_at":"2026-05-18T00:39:45.471570Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:45.471570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Lu Wang, Xinyu Hua","submitted_at":"2017-07-21T22:42:52Z","abstract_excerpt":"We study the problem of domain adaptation for neural abstractive summarization. We make initial efforts in investigating what information can be transferred to a new domain. Experimental results on news stories and opinion articles indicate that neural summarization model benefits from pre-training based on extractive summaries. We also find that the combination of in-domain and out-of-domain setup yields better summaries when in-domain data is insufficient. Further analysis shows that, the model is capable to select salient content even trained on out-of-domain data, but requires in-domain da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07062","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":"1707.07062","created_at":"2026-05-18T00:39:45.471733+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.07062v1","created_at":"2026-05-18T00:39:45.471733+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07062","created_at":"2026-05-18T00:39:45.471733+00:00"},{"alias_kind":"pith_short_12","alias_value":"RM3P26EOFWPU","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_16","alias_value":"RM3P26EOFWPU7RRA","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_8","alias_value":"RM3P26EO","created_at":"2026-05-18T12:31:39.905425+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/RM3P26EOFWPU7RRALXDMUBKD6Z","json":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z.json","graph_json":"https://pith.science/api/pith-number/RM3P26EOFWPU7RRALXDMUBKD6Z/graph.json","events_json":"https://pith.science/api/pith-number/RM3P26EOFWPU7RRALXDMUBKD6Z/events.json","paper":"https://pith.science/paper/RM3P26EO"},"agent_actions":{"view_html":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z","download_json":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z.json","view_paper":"https://pith.science/paper/RM3P26EO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.07062&json=true","fetch_graph":"https://pith.science/api/pith-number/RM3P26EOFWPU7RRALXDMUBKD6Z/graph.json","fetch_events":"https://pith.science/api/pith-number/RM3P26EOFWPU7RRALXDMUBKD6Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z/action/storage_attestation","attest_author":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z/action/author_attestation","sign_citation":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z/action/citation_signature","submit_replication":"https://pith.science/pith/RM3P26EOFWPU7RRALXDMUBKD6Z/action/replication_record"}},"created_at":"2026-05-18T00:39:45.471733+00:00","updated_at":"2026-05-18T00:39:45.471733+00:00"}