{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:L23ZETJPCESOOFBNEFVRIIALQG","short_pith_number":"pith:L23ZETJP","schema_version":"1.0","canonical_sha256":"5eb7924d2f1124e7142d216b14200b81a8716d389bcaf079db7e51ff5082c8dc","source":{"kind":"arxiv","id":"1702.00700","version":1},"attestation_state":"computed","paper":{"title":"Multilingual and Cross-lingual Timeline Extraction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Egoitz Laparra, German Rigau, Itziar Aldabe, Rodrigo Agerri","submitted_at":"2017-02-02T14:44:17Z","abstract_excerpt":"In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and cross-lingual data sources. Based on the assumption that event-related information can be recovered from different documents written in different languages, we extend the Cross-document Event Ordering task presented at SemEval 2015 by specifying two new tasks for, respectively, Multilingual and Cross-lingual Timeline Extraction. We then develop three deterministic algorithms for timeline extraction based on two main ideas. First, we address implici"},"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":"1702.00700","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2017-02-02T14:44:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e3786d7cc38dc52d847891c3cffbe5d6aab016a2fd1da871273724dd40b967ac","abstract_canon_sha256":"44e48f5397e14fcd682ca777cbb4e76afb911c1fe8bf9657498f9e668f1ce66a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:31.083431Z","signature_b64":"/6+BI54cLLv6uBoFkkmiLQCfIPjsxkQPt2PUgnp7fpJKjEb1wlMll/dXc1OVQeZZf9eSNqB3uA6+vqqe1POMBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5eb7924d2f1124e7142d216b14200b81a8716d389bcaf079db7e51ff5082c8dc","last_reissued_at":"2026-05-18T00:51:31.082773Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:31.082773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multilingual and Cross-lingual Timeline Extraction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Egoitz Laparra, German Rigau, Itziar Aldabe, Rodrigo Agerri","submitted_at":"2017-02-02T14:44:17Z","abstract_excerpt":"In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and cross-lingual data sources. Based on the assumption that event-related information can be recovered from different documents written in different languages, we extend the Cross-document Event Ordering task presented at SemEval 2015 by specifying two new tasks for, respectively, Multilingual and Cross-lingual Timeline Extraction. We then develop three deterministic algorithms for timeline extraction based on two main ideas. First, we address implici"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00700","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":"1702.00700","created_at":"2026-05-18T00:51:31.082861+00:00"},{"alias_kind":"arxiv_version","alias_value":"1702.00700v1","created_at":"2026-05-18T00:51:31.082861+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00700","created_at":"2026-05-18T00:51:31.082861+00:00"},{"alias_kind":"pith_short_12","alias_value":"L23ZETJPCESO","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_16","alias_value":"L23ZETJPCESOOFBN","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_8","alias_value":"L23ZETJP","created_at":"2026-05-18T12:31:28.150371+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/L23ZETJPCESOOFBNEFVRIIALQG","json":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG.json","graph_json":"https://pith.science/api/pith-number/L23ZETJPCESOOFBNEFVRIIALQG/graph.json","events_json":"https://pith.science/api/pith-number/L23ZETJPCESOOFBNEFVRIIALQG/events.json","paper":"https://pith.science/paper/L23ZETJP"},"agent_actions":{"view_html":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG","download_json":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG.json","view_paper":"https://pith.science/paper/L23ZETJP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1702.00700&json=true","fetch_graph":"https://pith.science/api/pith-number/L23ZETJPCESOOFBNEFVRIIALQG/graph.json","fetch_events":"https://pith.science/api/pith-number/L23ZETJPCESOOFBNEFVRIIALQG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG/action/storage_attestation","attest_author":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG/action/author_attestation","sign_citation":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG/action/citation_signature","submit_replication":"https://pith.science/pith/L23ZETJPCESOOFBNEFVRIIALQG/action/replication_record"}},"created_at":"2026-05-18T00:51:31.082861+00:00","updated_at":"2026-05-18T00:51:31.082861+00:00"}