{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:I6EAZD6ROUIPGTNRJYIBTEBIMU","short_pith_number":"pith:I6EAZD6R","canonical_record":{"source":{"id":"1709.00893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-04T10:34:34Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"2140f273aeb2f1296f10b30a909c4a57332da25db2165d294d881ae4847bcca4","abstract_canon_sha256":"8b4299b2466997e90affa487319b8cef2ad54ff2ec4a6f28291494e4376af89e"},"schema_version":"1.0"},"canonical_sha256":"47880c8fd17510f34db14e1019902865328dd6b403b2ff96750a4525a61e3a33","source":{"kind":"arxiv","id":"1709.00893","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.00893","created_at":"2026-05-18T00:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"1709.00893v1","created_at":"2026-05-18T00:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.00893","created_at":"2026-05-18T00:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"I6EAZD6ROUIP","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"I6EAZD6ROUIPGTNR","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"I6EAZD6R","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:I6EAZD6ROUIPGTNRJYIBTEBIMU","target":"record","payload":{"canonical_record":{"source":{"id":"1709.00893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-04T10:34:34Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"2140f273aeb2f1296f10b30a909c4a57332da25db2165d294d881ae4847bcca4","abstract_canon_sha256":"8b4299b2466997e90affa487319b8cef2ad54ff2ec4a6f28291494e4376af89e"},"schema_version":"1.0"},"canonical_sha256":"47880c8fd17510f34db14e1019902865328dd6b403b2ff96750a4525a61e3a33","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:04.816264Z","signature_b64":"v+ac+oYuU7EvubGxn4rRbWSuP1OTc+OGZADR3BOVlLZ86SFrTWA02mqDI6/Zkn2TZsC2P6oln7JOP4B01V/hBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47880c8fd17510f34db14e1019902865328dd6b403b2ff96750a4525a61e3a33","last_reissued_at":"2026-05-18T00:36:04.815785Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:04.815785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.00893","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":"2026-05-18T00:36:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DTchic34mIPWZVyo05U/+frlMHf78aaTQjQDbq98XurDDIAa3gPyCFA/A9d803ns6JMd00i8f/WvfRjMS2wxCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T14:36:10.799967Z"},"content_sha256":"3c3d0e74fa031e0c0f2aafadd67f28c8bbf15d0897b18cd18cadf5cc1dc264f2","schema_version":"1.0","event_id":"sha256:3c3d0e74fa031e0c0f2aafadd67f28c8bbf15d0897b18cd18cadf5cc1dc264f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:I6EAZD6ROUIPGTNRJYIBTEBIMU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interactive Attention Networks for Aspect-Level Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Dehong Ma, Houfeng Wang, Sujian Li, Xiaodong Zhang","submitted_at":"2017-09-04T10:34:34Z","abstract_excerpt":"Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely modeling their contexts via generating target-specific representations. However, these studies always ignore the separate modeling of targets. In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning. Then, we propose the interactive attenti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.00893","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":"2026-05-18T00:36:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HXIwGpLRp+RfufG/5RWOA28ifTrM9uYZdXU03Ngklzfz/TcmJBlLMmm6Nvi43T3VzpJWIfCnWT5FbjT77daBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T14:36:10.800329Z"},"content_sha256":"389a5bba42aad2b5b7162a3c76bab7d7833385e788fcae68cd1321221be413c1","schema_version":"1.0","event_id":"sha256:389a5bba42aad2b5b7162a3c76bab7d7833385e788fcae68cd1321221be413c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU/bundle.json","state_url":"https://pith.science/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU/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":"2026-06-02T14:36:10Z","links":{"resolver":"https://pith.science/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU","bundle":"https://pith.science/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU/bundle.json","state":"https://pith.science/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I6EAZD6ROUIPGTNRJYIBTEBIMU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:I6EAZD6ROUIPGTNRJYIBTEBIMU","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":"8b4299b2466997e90affa487319b8cef2ad54ff2ec4a6f28291494e4376af89e","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-04T10:34:34Z","title_canon_sha256":"2140f273aeb2f1296f10b30a909c4a57332da25db2165d294d881ae4847bcca4"},"schema_version":"1.0","source":{"id":"1709.00893","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.00893","created_at":"2026-05-18T00:36:04Z"},{"alias_kind":"arxiv_version","alias_value":"1709.00893v1","created_at":"2026-05-18T00:36:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.00893","created_at":"2026-05-18T00:36:04Z"},{"alias_kind":"pith_short_12","alias_value":"I6EAZD6ROUIP","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"I6EAZD6ROUIPGTNR","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"I6EAZD6R","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:389a5bba42aad2b5b7162a3c76bab7d7833385e788fcae68cd1321221be413c1","target":"graph","created_at":"2026-05-18T00:36:04Z","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":"Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely modeling their contexts via generating target-specific representations. However, these studies always ignore the separate modeling of targets. In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning. Then, we propose the interactive attenti","authors_text":"Dehong Ma, Houfeng Wang, Sujian Li, Xiaodong Zhang","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-04T10:34:34Z","title":"Interactive Attention Networks for Aspect-Level Sentiment Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.00893","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":"sha256:3c3d0e74fa031e0c0f2aafadd67f28c8bbf15d0897b18cd18cadf5cc1dc264f2","target":"record","created_at":"2026-05-18T00:36:04Z","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":"8b4299b2466997e90affa487319b8cef2ad54ff2ec4a6f28291494e4376af89e","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-04T10:34:34Z","title_canon_sha256":"2140f273aeb2f1296f10b30a909c4a57332da25db2165d294d881ae4847bcca4"},"schema_version":"1.0","source":{"id":"1709.00893","kind":"arxiv","version":1}},"canonical_sha256":"47880c8fd17510f34db14e1019902865328dd6b403b2ff96750a4525a61e3a33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47880c8fd17510f34db14e1019902865328dd6b403b2ff96750a4525a61e3a33","first_computed_at":"2026-05-18T00:36:04.815785Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:04.815785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v+ac+oYuU7EvubGxn4rRbWSuP1OTc+OGZADR3BOVlLZ86SFrTWA02mqDI6/Zkn2TZsC2P6oln7JOP4B01V/hBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:04.816264Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.00893","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c3d0e74fa031e0c0f2aafadd67f28c8bbf15d0897b18cd18cadf5cc1dc264f2","sha256:389a5bba42aad2b5b7162a3c76bab7d7833385e788fcae68cd1321221be413c1"],"state_sha256":"a9e7e5d8912a4408ad5d60379e06785ed4ba881702a740672d4b93c22a95e273"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JRtYoUIwJ99mnDal3ZqHfKmO7s5z9ikrIyCBYqZSd6bMaiPsZvI5473CNuUxq/JX7+bYGl5tf8gC7KvpbOI+DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T14:36:10.802299Z","bundle_sha256":"20cfbaeaede1f279ddd2fbd6f5d2640f440be022b2ebb30e94fdc04114ec1435"}}