{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LZ2UXN4CG3YEQ6JMOWB5SCTXIW","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":"684e7425ea8b0d7c280625bacd797c3ea1d2fa86731f58031588aa30962024de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-18T11:35:56Z","title_canon_sha256":"1ae956534768d71892878d2dfdd3e90f287e59f68692fc56292b9dc62c052f7d"},"schema_version":"1.0","source":{"id":"1804.06659","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.06659","created_at":"2026-05-18T00:18:06Z"},{"alias_kind":"arxiv_version","alias_value":"1804.06659v1","created_at":"2026-05-18T00:18:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06659","created_at":"2026-05-18T00:18:06Z"},{"alias_kind":"pith_short_12","alias_value":"LZ2UXN4CG3YE","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LZ2UXN4CG3YEQ6JM","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LZ2UXN4C","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:83eb1107308f2b4e137f6c18cf6cde07fc7f00989e11237d77148713a6045836","target":"graph","created_at":"2026-05-18T00:18:06Z","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":"In this paper we present two deep-learning systems that competed at SemEval-2018 Task 3 \"Irony detection in English tweets\". We design and ensemble two independent models, based on recurrent neural networks (Bi-LSTM), which operate at the word and character level, in order to capture both the semantic and syntactic information in tweets. Our models are augmented with a self-attention mechanism, in order to identify the most informative words. The embedding layer of our word-level model is initialized with word2vec word embeddings, pretrained on a collection of 550 million English tweets. We di","authors_text":"Alexandros Potamianos, Athanasia Kolovou, Christos Baziotis, Georgios Paraskevopoulos, Nikolaos Ellinas, Nikos Athanasiou, Pinelopi Papalampidi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-18T11:35:56Z","title":"NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06659","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":"sha256:842805cdabfb18cd5060a1f5d53ae610da9c76dfe413a915c7e280c282244170","target":"record","created_at":"2026-05-18T00:18:06Z","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":"684e7425ea8b0d7c280625bacd797c3ea1d2fa86731f58031588aa30962024de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-18T11:35:56Z","title_canon_sha256":"1ae956534768d71892878d2dfdd3e90f287e59f68692fc56292b9dc62c052f7d"},"schema_version":"1.0","source":{"id":"1804.06659","kind":"arxiv","version":1}},"canonical_sha256":"5e754bb78236f048792c7583d90a7745a3dab997c120c5aa83b57fd647484138","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e754bb78236f048792c7583d90a7745a3dab997c120c5aa83b57fd647484138","first_computed_at":"2026-05-18T00:18:06.094842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:06.094842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4haews48kYnoKA++7dA90jzO7/fOclL/ZyyrHj0pTclZVSuZbWjJAUw16TefZ0OpASJW0sun/RIOmgLYVhg6Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:06.095487Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.06659","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:842805cdabfb18cd5060a1f5d53ae610da9c76dfe413a915c7e280c282244170","sha256:83eb1107308f2b4e137f6c18cf6cde07fc7f00989e11237d77148713a6045836"],"state_sha256":"4bccdcf4c60654af3d9fbb0f89e77321f09c2a742c360d1756a38a4f3e63b953"}