{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JCP6AK4DFAVMAXGMUVXZQ33MYI","short_pith_number":"pith:JCP6AK4D","canonical_record":{"source":{"id":"1706.00506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-01T21:59:47Z","cross_cats_sorted":[],"title_canon_sha256":"2c98a14b1300afa45a9570617cbd32177892bdcfd1e394d630764029299996a9","abstract_canon_sha256":"33a479c3d5b177c5c34beeb12f1101a8fd060d063d1ae66f1134359eb243d3fa"},"schema_version":"1.0"},"canonical_sha256":"489fe02b83282ac05ccca56f986f6cc20f14fec5f59d212342378887f4ad0749","source":{"kind":"arxiv","id":"1706.00506","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00506","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00506v1","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00506","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"pith_short_12","alias_value":"JCP6AK4DFAVM","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"JCP6AK4DFAVMAXGM","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"JCP6AK4D","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JCP6AK4DFAVMAXGMUVXZQ33MYI","target":"record","payload":{"canonical_record":{"source":{"id":"1706.00506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-01T21:59:47Z","cross_cats_sorted":[],"title_canon_sha256":"2c98a14b1300afa45a9570617cbd32177892bdcfd1e394d630764029299996a9","abstract_canon_sha256":"33a479c3d5b177c5c34beeb12f1101a8fd060d063d1ae66f1134359eb243d3fa"},"schema_version":"1.0"},"canonical_sha256":"489fe02b83282ac05ccca56f986f6cc20f14fec5f59d212342378887f4ad0749","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:12.818160Z","signature_b64":"lR30nQ2dpe9IQnnrtbPi4BwrLgp7qiq9IgK/1QJ/wxGbD3fBOBTwxhOJsDQ6+Y3ZXi1Zy0P+Twdrs5ddEOmtCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"489fe02b83282ac05ccca56f986f6cc20f14fec5f59d212342378887f4ad0749","last_reissued_at":"2026-05-18T00:43:12.817649Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:12.817649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.00506","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CAvMQ8dnSVi3B59kn1P31x3uMZu84JwiwnOeSHtXK8rVfMU+D84OEtjAzC/ezQq2KmiwA/s6N0x5aIrzZ1/sBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T14:05:45.262375Z"},"content_sha256":"1eac10e0d45b4b33d397afdfc331cb45c88ef40c4ffe28f78410c4a3a168d5b6","schema_version":"1.0","event_id":"sha256:1eac10e0d45b4b33d397afdfc331cb45c88ef40c4ffe28f78410c4a3a168d5b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JCP6AK4DFAVMAXGMUVXZQ33MYI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Eray Yildiz, Onur Gungor, Suzan Uskudarli, Tunga Gungor","submitted_at":"2017-06-01T21:59:47Z","abstract_excerpt":"In this work, we present new state-of-the-art results of 93.59,% and 79.59,% for Turkish and Czech named entity recognition based on the model of (Lample et al., 2016). We contribute by proposing several schemes for representing the morphological analysis of a word in the context of named entity recognition. We show that a concatenation of this representation with the word and character embeddings improves the performance. The effect of these representation schemes on the tagging performance is also investigated."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00506","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nnjYjgVczvOJGNfqd3gVPaXDiHLiA3X2g9oGDR+Ds0AuUxGSH/WDIaMsiyrj1uooqkYmGC7rosZevDV9mtoNAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T14:05:45.262733Z"},"content_sha256":"c02e91edb4f945578c128d5d386b2c70da5a2aa4234935840bcce300f2c2193c","schema_version":"1.0","event_id":"sha256:c02e91edb4f945578c128d5d386b2c70da5a2aa4234935840bcce300f2c2193c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI/bundle.json","state_url":"https://pith.science/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T14:05:45Z","links":{"resolver":"https://pith.science/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI","bundle":"https://pith.science/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI/bundle.json","state":"https://pith.science/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JCP6AK4DFAVMAXGMUVXZQ33MYI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JCP6AK4DFAVMAXGMUVXZQ33MYI","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":"33a479c3d5b177c5c34beeb12f1101a8fd060d063d1ae66f1134359eb243d3fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-01T21:59:47Z","title_canon_sha256":"2c98a14b1300afa45a9570617cbd32177892bdcfd1e394d630764029299996a9"},"schema_version":"1.0","source":{"id":"1706.00506","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00506","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00506v1","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00506","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"pith_short_12","alias_value":"JCP6AK4DFAVM","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"JCP6AK4DFAVMAXGM","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"JCP6AK4D","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:c02e91edb4f945578c128d5d386b2c70da5a2aa4234935840bcce300f2c2193c","target":"graph","created_at":"2026-05-18T00:43:12Z","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 work, we present new state-of-the-art results of 93.59,% and 79.59,% for Turkish and Czech named entity recognition based on the model of (Lample et al., 2016). We contribute by proposing several schemes for representing the morphological analysis of a word in the context of named entity recognition. We show that a concatenation of this representation with the word and character embeddings improves the performance. The effect of these representation schemes on the tagging performance is also investigated.","authors_text":"Eray Yildiz, Onur Gungor, Suzan Uskudarli, Tunga Gungor","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-01T21:59:47Z","title":"Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00506","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":"sha256:1eac10e0d45b4b33d397afdfc331cb45c88ef40c4ffe28f78410c4a3a168d5b6","target":"record","created_at":"2026-05-18T00:43:12Z","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":"33a479c3d5b177c5c34beeb12f1101a8fd060d063d1ae66f1134359eb243d3fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-01T21:59:47Z","title_canon_sha256":"2c98a14b1300afa45a9570617cbd32177892bdcfd1e394d630764029299996a9"},"schema_version":"1.0","source":{"id":"1706.00506","kind":"arxiv","version":1}},"canonical_sha256":"489fe02b83282ac05ccca56f986f6cc20f14fec5f59d212342378887f4ad0749","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"489fe02b83282ac05ccca56f986f6cc20f14fec5f59d212342378887f4ad0749","first_computed_at":"2026-05-18T00:43:12.817649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:12.817649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lR30nQ2dpe9IQnnrtbPi4BwrLgp7qiq9IgK/1QJ/wxGbD3fBOBTwxhOJsDQ6+Y3ZXi1Zy0P+Twdrs5ddEOmtCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:12.818160Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00506","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1eac10e0d45b4b33d397afdfc331cb45c88ef40c4ffe28f78410c4a3a168d5b6","sha256:c02e91edb4f945578c128d5d386b2c70da5a2aa4234935840bcce300f2c2193c"],"state_sha256":"1e7c96b8dcd8d9a95ffe2d1961e5535ae35786e6cf37f509e257532d277e306a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m1FwP4JEu1ifYqhAMBZ28lEZnSxwvykRIgQe5jMOVrhOnQFLZhCdjVia7lnjPLDlDMT8eazvgVkEwIhHnUy5BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T14:05:45.264719Z","bundle_sha256":"d70d21ce2a930e47650901d99db8b092268d40dde03429aa3d3dea64a61245ec"}}