{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:WO2S6K2W2WLQ6P62GUVU4RJWFR","short_pith_number":"pith:WO2S6K2W","schema_version":"1.0","canonical_sha256":"b3b52f2b56d5970f3fda352b4e45362c633281107e1934586f95dfddf3c344e4","source":{"kind":"arxiv","id":"1707.05000","version":1},"attestation_state":"computed","paper":{"title":"In-Order Transition-based Constituent Parsing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiangming Liu, Yue Zhang","submitted_at":"2017-07-17T04:27:11Z","abstract_excerpt":"Both bottom-up and top-down strategies have been used for neural transition-based constituent parsing. The parsing strategies differ in terms of the order in which they recognize productions in the derivation tree, where bottom-up strategies and top-down strategies take post-order and pre-order traversal over trees, respectively. Bottom-up parsers benefit from rich features from readily built partial parses, but lack lookahead guidance in the parsing process; top-down parsers benefit from non-local guidance for local decisions, but rely on a strong encoder over the input to predict a constitue"},"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":"1707.05000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-17T04:27:11Z","cross_cats_sorted":[],"title_canon_sha256":"84bf828d64a72d9dd8fb723eb76be7fd688fbed885146e70d710138116ef5047","abstract_canon_sha256":"4e45e30e46c772cc389a84f00c4da9d444385e6903c20c23dc09f76b719cdebc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:11.638904Z","signature_b64":"5haJkF83p3NhkTdOeS02i+gJLvDK17dFbuj048vMRemX1v785G5E1yQy0GXWLoFwuEA7m48kN9LZDtF5ZQtKBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3b52f2b56d5970f3fda352b4e45362c633281107e1934586f95dfddf3c344e4","last_reissued_at":"2026-05-18T00:40:11.638387Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:11.638387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"In-Order Transition-based Constituent Parsing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiangming Liu, Yue Zhang","submitted_at":"2017-07-17T04:27:11Z","abstract_excerpt":"Both bottom-up and top-down strategies have been used for neural transition-based constituent parsing. The parsing strategies differ in terms of the order in which they recognize productions in the derivation tree, where bottom-up strategies and top-down strategies take post-order and pre-order traversal over trees, respectively. Bottom-up parsers benefit from rich features from readily built partial parses, but lack lookahead guidance in the parsing process; top-down parsers benefit from non-local guidance for local decisions, but rely on a strong encoder over the input to predict a constitue"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.05000","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":"1707.05000","created_at":"2026-05-18T00:40:11.638472+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.05000v1","created_at":"2026-05-18T00:40:11.638472+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.05000","created_at":"2026-05-18T00:40:11.638472+00:00"},{"alias_kind":"pith_short_12","alias_value":"WO2S6K2W2WLQ","created_at":"2026-05-18T12:31:53.515858+00:00"},{"alias_kind":"pith_short_16","alias_value":"WO2S6K2W2WLQ6P62","created_at":"2026-05-18T12:31:53.515858+00:00"},{"alias_kind":"pith_short_8","alias_value":"WO2S6K2W","created_at":"2026-05-18T12:31:53.515858+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/WO2S6K2W2WLQ6P62GUVU4RJWFR","json":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR.json","graph_json":"https://pith.science/api/pith-number/WO2S6K2W2WLQ6P62GUVU4RJWFR/graph.json","events_json":"https://pith.science/api/pith-number/WO2S6K2W2WLQ6P62GUVU4RJWFR/events.json","paper":"https://pith.science/paper/WO2S6K2W"},"agent_actions":{"view_html":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR","download_json":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR.json","view_paper":"https://pith.science/paper/WO2S6K2W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.05000&json=true","fetch_graph":"https://pith.science/api/pith-number/WO2S6K2W2WLQ6P62GUVU4RJWFR/graph.json","fetch_events":"https://pith.science/api/pith-number/WO2S6K2W2WLQ6P62GUVU4RJWFR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR/action/storage_attestation","attest_author":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR/action/author_attestation","sign_citation":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR/action/citation_signature","submit_replication":"https://pith.science/pith/WO2S6K2W2WLQ6P62GUVU4RJWFR/action/replication_record"}},"created_at":"2026-05-18T00:40:11.638472+00:00","updated_at":"2026-05-18T00:40:11.638472+00:00"}