{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JO5KF6XH55VM57UWICWV3YZE2R","short_pith_number":"pith:JO5KF6XH","canonical_record":{"source":{"id":"2210.13029","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T08:26:51Z","cross_cats_sorted":[],"title_canon_sha256":"7e4f4efabaa79bf575f0251c5e011f3f67029c5e92951341de06625c0a9f3543","abstract_canon_sha256":"dddc2106e43543d0caa1ef990537f5ad17d6e0c05e34f6cc0c49cebbf87809e5"},"schema_version":"1.0"},"canonical_sha256":"4bbaa2fae7ef6acefe9640ad5de324d46c395cf6bbc1ef9bd954eebb06f8fbd9","source":{"kind":"arxiv","id":"2210.13029","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13029","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13029v2","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13029","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"pith_short_12","alias_value":"JO5KF6XH55VM","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"pith_short_16","alias_value":"JO5KF6XH55VM57UW","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"pith_short_8","alias_value":"JO5KF6XH","created_at":"2026-07-05T05:10:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JO5KF6XH55VM57UWICWV3YZE2R","target":"record","payload":{"canonical_record":{"source":{"id":"2210.13029","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T08:26:51Z","cross_cats_sorted":[],"title_canon_sha256":"7e4f4efabaa79bf575f0251c5e011f3f67029c5e92951341de06625c0a9f3543","abstract_canon_sha256":"dddc2106e43543d0caa1ef990537f5ad17d6e0c05e34f6cc0c49cebbf87809e5"},"schema_version":"1.0"},"canonical_sha256":"4bbaa2fae7ef6acefe9640ad5de324d46c395cf6bbc1ef9bd954eebb06f8fbd9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:18.524248Z","signature_b64":"YVNfb+/deN2qClUjnhXAaEwfYZZg7pGENVXyklyIbv5k5zqDb4uoni6dfRxXas2dLPax4xPhPh1yVjouHZpCAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bbaa2fae7ef6acefe9640ad5de324d46c395cf6bbc1ef9bd954eebb06f8fbd9","last_reissued_at":"2026-07-05T05:10:18.523851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:18.523851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.13029","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:10:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a95RPQRKs2jE7o2o+YNSyIojCGIySFUr5sUrxYYkJ+Q034qbVfNKuJk7+XtyxP2aMy31YmYuL/ttBFIaASELBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T02:23:00.955240Z"},"content_sha256":"a0b2500fcbb2e04be37fcacaad6a2df609342fb18469d4ae532faa2b9dac16c3","schema_version":"1.0","event_id":"sha256:a0b2500fcbb2e04be37fcacaad6a2df609342fb18469d4ae532faa2b9dac16c3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JO5KF6XH55VM57UWICWV3YZE2R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Arij Riabi, Djam\\'e Seddah, Syrielle Montariol","submitted_at":"2022-10-24T08:26:51Z","abstract_excerpt":"Zero-shot cross-lingual transfer learning has been shown to be highly challenging for tasks involving a lot of linguistic specificities or when a cultural gap is present between languages, such as in hate speech detection. In this paper, we highlight this limitation for hate speech detection in several domains and languages using strict experimental settings. Then, we propose to train on multilingual auxiliary tasks -- sentiment analysis, named entity recognition, and tasks relying on syntactic information -- to improve zero-shot transfer of hate speech detection models across languages. We sh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13029","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2210.13029/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T05:10:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dgBKYjTAN4uL7gyCH3zpOiEuahhN2De1MoRoLEVaazKmlXYRv13S8uvmLGDQ9vWmOBnsLeIx6ETdBPgSm1sFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T02:23:00.955634Z"},"content_sha256":"761fccbe8a9e1db900df9c7cd10b274a362299ccda41be116332deb4f1ab5595","schema_version":"1.0","event_id":"sha256:761fccbe8a9e1db900df9c7cd10b274a362299ccda41be116332deb4f1ab5595"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JO5KF6XH55VM57UWICWV3YZE2R/bundle.json","state_url":"https://pith.science/pith/JO5KF6XH55VM57UWICWV3YZE2R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JO5KF6XH55VM57UWICWV3YZE2R/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":"2026-07-26T02:23:00Z","links":{"resolver":"https://pith.science/pith/JO5KF6XH55VM57UWICWV3YZE2R","bundle":"https://pith.science/pith/JO5KF6XH55VM57UWICWV3YZE2R/bundle.json","state":"https://pith.science/pith/JO5KF6XH55VM57UWICWV3YZE2R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JO5KF6XH55VM57UWICWV3YZE2R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JO5KF6XH55VM57UWICWV3YZE2R","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":"dddc2106e43543d0caa1ef990537f5ad17d6e0c05e34f6cc0c49cebbf87809e5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T08:26:51Z","title_canon_sha256":"7e4f4efabaa79bf575f0251c5e011f3f67029c5e92951341de06625c0a9f3543"},"schema_version":"1.0","source":{"id":"2210.13029","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13029","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13029v2","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13029","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"pith_short_12","alias_value":"JO5KF6XH55VM","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"pith_short_16","alias_value":"JO5KF6XH55VM57UW","created_at":"2026-07-05T05:10:18Z"},{"alias_kind":"pith_short_8","alias_value":"JO5KF6XH","created_at":"2026-07-05T05:10:18Z"}],"graph_snapshots":[{"event_id":"sha256:761fccbe8a9e1db900df9c7cd10b274a362299ccda41be116332deb4f1ab5595","target":"graph","created_at":"2026-07-05T05:10:18Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2210.13029/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Zero-shot cross-lingual transfer learning has been shown to be highly challenging for tasks involving a lot of linguistic specificities or when a cultural gap is present between languages, such as in hate speech detection. In this paper, we highlight this limitation for hate speech detection in several domains and languages using strict experimental settings. Then, we propose to train on multilingual auxiliary tasks -- sentiment analysis, named entity recognition, and tasks relying on syntactic information -- to improve zero-shot transfer of hate speech detection models across languages. We sh","authors_text":"Arij Riabi, Djam\\'e Seddah, Syrielle Montariol","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T08:26:51Z","title":"Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13029","kind":"arxiv","version":2},"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:a0b2500fcbb2e04be37fcacaad6a2df609342fb18469d4ae532faa2b9dac16c3","target":"record","created_at":"2026-07-05T05:10:18Z","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":"dddc2106e43543d0caa1ef990537f5ad17d6e0c05e34f6cc0c49cebbf87809e5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T08:26:51Z","title_canon_sha256":"7e4f4efabaa79bf575f0251c5e011f3f67029c5e92951341de06625c0a9f3543"},"schema_version":"1.0","source":{"id":"2210.13029","kind":"arxiv","version":2}},"canonical_sha256":"4bbaa2fae7ef6acefe9640ad5de324d46c395cf6bbc1ef9bd954eebb06f8fbd9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bbaa2fae7ef6acefe9640ad5de324d46c395cf6bbc1ef9bd954eebb06f8fbd9","first_computed_at":"2026-07-05T05:10:18.523851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:18.523851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YVNfb+/deN2qClUjnhXAaEwfYZZg7pGENVXyklyIbv5k5zqDb4uoni6dfRxXas2dLPax4xPhPh1yVjouHZpCAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:18.524248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.13029","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0b2500fcbb2e04be37fcacaad6a2df609342fb18469d4ae532faa2b9dac16c3","sha256:761fccbe8a9e1db900df9c7cd10b274a362299ccda41be116332deb4f1ab5595"],"state_sha256":"c9efd113aa4f66a992e254584b63c52dbff29723e6845879423a7f55ee992858"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+FGc1gHCjC1oH6DgbzDL2fNOfsfUOEAyU6qSNiEtP1kSxV8eYhyhes4kjUZuXQi+3okJErx6SwYFMz+Ou6tfCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T02:23:00.957719Z","bundle_sha256":"670ebad399bfe7e9346e0097538d4fa78e1f68b9defbb4d05a7d867c1530fff9"}}