{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:4WSPY5V2FAGKEF3VC53SMIHTYR","short_pith_number":"pith:4WSPY5V2","schema_version":"1.0","canonical_sha256":"e5a4fc76ba280ca2177517772620f3c451489c881a986c73c993b1e0ccdf33c1","source":{"kind":"arxiv","id":"1809.03999","version":1},"attestation_state":"computed","paper":{"title":"Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jingjing Xu, Shu Liu, Xuancheng Ren, Xu Sun","submitted_at":"2018-09-11T16:09:53Z","abstract_excerpt":"Automatic evaluation of semantic rationality is an important yet challenging task, and current automatic techniques cannot well identify whether a sentence is semantically rational. The methods based on the language model do not measure the sentence by rationality but by commonness. The methods based on the similarity with human written sentences will fail if human-written references are not available. In this paper, we propose a novel model called Sememe-Word-Matching Neural Network (SWM-NN) to tackle semantic rationality evaluation by taking advantage of sememe knowledge base HowNet. The adv"},"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":"1809.03999","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-11T16:09:53Z","cross_cats_sorted":[],"title_canon_sha256":"2de06f4476de9b0f8f6b36b54798b88c3d366182814d3f08ea39fe249a320360","abstract_canon_sha256":"97f6e08ffef20e0490319bb434be0715e928215919d664bbad3fa531bbbe1aa4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:57.584260Z","signature_b64":"QhX/4H/4QiSNog82nVyaifqqa139+3quIYN5MiDMIeWvx7Znl1ILg3cg8lOz3kAe41QnAYx4bsc2yk4/ZkTWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5a4fc76ba280ca2177517772620f3c451489c881a986c73c993b1e0ccdf33c1","last_reissued_at":"2026-05-18T00:05:57.583821Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:57.583821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jingjing Xu, Shu Liu, Xuancheng Ren, Xu Sun","submitted_at":"2018-09-11T16:09:53Z","abstract_excerpt":"Automatic evaluation of semantic rationality is an important yet challenging task, and current automatic techniques cannot well identify whether a sentence is semantically rational. The methods based on the language model do not measure the sentence by rationality but by commonness. The methods based on the similarity with human written sentences will fail if human-written references are not available. In this paper, we propose a novel model called Sememe-Word-Matching Neural Network (SWM-NN) to tackle semantic rationality evaluation by taking advantage of sememe knowledge base HowNet. The adv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03999","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":"1809.03999","created_at":"2026-05-18T00:05:57.583888+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.03999v1","created_at":"2026-05-18T00:05:57.583888+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03999","created_at":"2026-05-18T00:05:57.583888+00:00"},{"alias_kind":"pith_short_12","alias_value":"4WSPY5V2FAGK","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"4WSPY5V2FAGKEF3V","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"4WSPY5V2","created_at":"2026-05-18T12:32:05.422762+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/4WSPY5V2FAGKEF3VC53SMIHTYR","json":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR.json","graph_json":"https://pith.science/api/pith-number/4WSPY5V2FAGKEF3VC53SMIHTYR/graph.json","events_json":"https://pith.science/api/pith-number/4WSPY5V2FAGKEF3VC53SMIHTYR/events.json","paper":"https://pith.science/paper/4WSPY5V2"},"agent_actions":{"view_html":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR","download_json":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR.json","view_paper":"https://pith.science/paper/4WSPY5V2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.03999&json=true","fetch_graph":"https://pith.science/api/pith-number/4WSPY5V2FAGKEF3VC53SMIHTYR/graph.json","fetch_events":"https://pith.science/api/pith-number/4WSPY5V2FAGKEF3VC53SMIHTYR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR/action/storage_attestation","attest_author":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR/action/author_attestation","sign_citation":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR/action/citation_signature","submit_replication":"https://pith.science/pith/4WSPY5V2FAGKEF3VC53SMIHTYR/action/replication_record"}},"created_at":"2026-05-18T00:05:57.583888+00:00","updated_at":"2026-05-18T00:05:57.583888+00:00"}