{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:C52GSJWTPDGYNVHKJHSFRAUG4Y","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"091c499f553ef64d840914162ed32862b013da22512c393242b89ca4de058ac5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-25T17:48:20Z","title_canon_sha256":"f6fbf7e23f7e96381c0d54092210ddd9477409ce01c66082ab78c6fdeae84acc"},"schema_version":"1.0","source":{"id":"1805.10274","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.10274","created_at":"2026-05-18T00:14:57Z"},{"alias_kind":"arxiv_version","alias_value":"1805.10274v1","created_at":"2026-05-18T00:14:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.10274","created_at":"2026-05-18T00:14:57Z"},{"alias_kind":"pith_short_12","alias_value":"C52GSJWTPDGY","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"C52GSJWTPDGYNVHK","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"C52GSJWT","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:c0bfc4134390cddc263c732b72ccdec451db4b410d552d321477ad62e6131f3c","target":"graph","created_at":"2026-05-18T00:14:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"This paper describes the UMDSub system that participated in Task 2 of SemEval-2018. We developed a system that predicts an emoji given the raw text in a English tweet. The system is a Multi-channel Convolutional Neural Network based on subword embeddings for the representation of tweets. This model improves on character or word based methods by about 2\\%. Our system placed 21st of 48 participating systems in the official evaluation.","authors_text":"Ted Pedersen, Zhenduo Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-25T17:48:20Z","title":"UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.10274","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b36f36db4eabc199013686fda0be6b3f4bb84b87a98c5b119cbce61f6f5c290f","target":"record","created_at":"2026-05-18T00:14:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"091c499f553ef64d840914162ed32862b013da22512c393242b89ca4de058ac5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-25T17:48:20Z","title_canon_sha256":"f6fbf7e23f7e96381c0d54092210ddd9477409ce01c66082ab78c6fdeae84acc"},"schema_version":"1.0","source":{"id":"1805.10274","kind":"arxiv","version":1}},"canonical_sha256":"17746926d378cd86d4ea49e4588286e615207a4be62d56fd6ec154749564e837","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17746926d378cd86d4ea49e4588286e615207a4be62d56fd6ec154749564e837","first_computed_at":"2026-05-18T00:14:57.784009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:57.784009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1d0e+mwQN1N2LfBvM1W7dnCFgWdOl0VsNF2/Y9iKMqwnw8+E4umqU2vaLTdgCt3sogV1LtwwaM8/DNuvwB8QBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:57.784785Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.10274","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b36f36db4eabc199013686fda0be6b3f4bb84b87a98c5b119cbce61f6f5c290f","sha256:c0bfc4134390cddc263c732b72ccdec451db4b410d552d321477ad62e6131f3c"],"state_sha256":"e1a8fe8665f565761e0cf2e89bbd8e91e45bdafae8e939e2b54022b5fcad0850"}