{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XOHFNUZD66M43OOT3LUDTY4S4A","short_pith_number":"pith:XOHFNUZD","canonical_record":{"source":{"id":"1707.07279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-23T10:51:30Z","cross_cats_sorted":[],"title_canon_sha256":"436615752c3e5adc0f269c01d845ac30579515e5ac2a402e87c4d8d9b06c84fb","abstract_canon_sha256":"d00f260c095ab44b9c2661b5a72003a294caa404a3aac0027487776e7db1d69b"},"schema_version":"1.0"},"canonical_sha256":"bb8e56d323f799cdb9d3dae839e392e021f130d5a588c1ce671a623257182f9b","source":{"kind":"arxiv","id":"1707.07279","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07279","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07279v1","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07279","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"XOHFNUZD66M4","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XOHFNUZD66M43OOT","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XOHFNUZD","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XOHFNUZD66M43OOT3LUDTY4S4A","target":"record","payload":{"canonical_record":{"source":{"id":"1707.07279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-23T10:51:30Z","cross_cats_sorted":[],"title_canon_sha256":"436615752c3e5adc0f269c01d845ac30579515e5ac2a402e87c4d8d9b06c84fb","abstract_canon_sha256":"d00f260c095ab44b9c2661b5a72003a294caa404a3aac0027487776e7db1d69b"},"schema_version":"1.0"},"canonical_sha256":"bb8e56d323f799cdb9d3dae839e392e021f130d5a588c1ce671a623257182f9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:42.688558Z","signature_b64":"s+0yp+qntKmyBDKhOIb+4qwjH4JUBj+6ZyPXQmy4Bjwlr7DpmgByIpjl7wjK65e3u75WEHdefPhPcW++NA1tBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb8e56d323f799cdb9d3dae839e392e021f130d5a588c1ce671a623257182f9b","last_reissued_at":"2026-05-18T00:39:42.687849Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:42.687849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.07279","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":"2026-05-18T00:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1kxMdf0HoZmAGYwTIIont4UdhetAKkmNUou8XZCa3O1PPx5X0D3rp0qHYQbb1r3Ml1yZSN5Z1RKrhNzOTWtuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T21:02:04.252577Z"},"content_sha256":"60302e231c18325917fed40c199a949baa0da166110c9b68fdc101808183f88b","schema_version":"1.0","event_id":"sha256:60302e231c18325917fed40c199a949baa0da166110c9b68fdc101808183f88b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XOHFNUZD66M43OOT3LUDTY4S4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Using Argument-based Features to Predict and Analyse Review Helpfulness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"2), (2) University of Chinese Academy of Sciences, (3) School of Automation, (4) Qihoo 360 Search Lab), Beijing Information Science, Chinese Academy of Sciences, Haijing Liu (1, Hao Wang (4) ((1) Institute of Software, Mengxue Li (1, Minglan Li (1, Pin Lv (1), Shiqiang Geng (3), Technology University, Yang Gao (1)","submitted_at":"2017-07-23T10:51:30Z","abstract_excerpt":"We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in product reviews, and we hypothesise that some argument-based features, e.g. the percentage of argumentative sentences, the evidences-conclusions ratios, are good indicators of helpful reviews. To validate this hypothesis, we manually annotate arguments in 110 hotel reviews, and investigate the effectiveness of several combinations of argument-based features. Experiments suggest that, when being used together with the ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07279","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":"2026-05-18T00:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j1rCJzqT2VJQBOGUWVLh+5E0g+h6EVzebJf/2fgXgGhjYmMEfRwxHhWdyno2G9u48nfGKtfQUYhmgeOfcefHAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T21:02:04.252974Z"},"content_sha256":"7f24a213e46d277f82e54bd20a443a89f3bc1e3dfd495691dd613576b17d0ced","schema_version":"1.0","event_id":"sha256:7f24a213e46d277f82e54bd20a443a89f3bc1e3dfd495691dd613576b17d0ced"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XOHFNUZD66M43OOT3LUDTY4S4A/bundle.json","state_url":"https://pith.science/pith/XOHFNUZD66M43OOT3LUDTY4S4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XOHFNUZD66M43OOT3LUDTY4S4A/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":"2026-05-24T21:02:04Z","links":{"resolver":"https://pith.science/pith/XOHFNUZD66M43OOT3LUDTY4S4A","bundle":"https://pith.science/pith/XOHFNUZD66M43OOT3LUDTY4S4A/bundle.json","state":"https://pith.science/pith/XOHFNUZD66M43OOT3LUDTY4S4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XOHFNUZD66M43OOT3LUDTY4S4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XOHFNUZD66M43OOT3LUDTY4S4A","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":"d00f260c095ab44b9c2661b5a72003a294caa404a3aac0027487776e7db1d69b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-23T10:51:30Z","title_canon_sha256":"436615752c3e5adc0f269c01d845ac30579515e5ac2a402e87c4d8d9b06c84fb"},"schema_version":"1.0","source":{"id":"1707.07279","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07279","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07279v1","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07279","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"XOHFNUZD66M4","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XOHFNUZD66M43OOT","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XOHFNUZD","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:7f24a213e46d277f82e54bd20a443a89f3bc1e3dfd495691dd613576b17d0ced","target":"graph","created_at":"2026-05-18T00:39:42Z","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":"We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in product reviews, and we hypothesise that some argument-based features, e.g. the percentage of argumentative sentences, the evidences-conclusions ratios, are good indicators of helpful reviews. To validate this hypothesis, we manually annotate arguments in 110 hotel reviews, and investigate the effectiveness of several combinations of argument-based features. Experiments suggest that, when being used together with the ar","authors_text":"2), (2) University of Chinese Academy of Sciences, (3) School of Automation, (4) Qihoo 360 Search Lab), Beijing Information Science, Chinese Academy of Sciences, Haijing Liu (1, Hao Wang (4) ((1) Institute of Software, Mengxue Li (1, Minglan Li (1, Pin Lv (1), Shiqiang Geng (3), Technology University, Yang Gao (1)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-23T10:51:30Z","title":"Using Argument-based Features to Predict and Analyse Review Helpfulness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07279","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":"sha256:60302e231c18325917fed40c199a949baa0da166110c9b68fdc101808183f88b","target":"record","created_at":"2026-05-18T00:39:42Z","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":"d00f260c095ab44b9c2661b5a72003a294caa404a3aac0027487776e7db1d69b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-23T10:51:30Z","title_canon_sha256":"436615752c3e5adc0f269c01d845ac30579515e5ac2a402e87c4d8d9b06c84fb"},"schema_version":"1.0","source":{"id":"1707.07279","kind":"arxiv","version":1}},"canonical_sha256":"bb8e56d323f799cdb9d3dae839e392e021f130d5a588c1ce671a623257182f9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb8e56d323f799cdb9d3dae839e392e021f130d5a588c1ce671a623257182f9b","first_computed_at":"2026-05-18T00:39:42.687849Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:42.687849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s+0yp+qntKmyBDKhOIb+4qwjH4JUBj+6ZyPXQmy4Bjwlr7DpmgByIpjl7wjK65e3u75WEHdefPhPcW++NA1tBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:42.688558Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.07279","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60302e231c18325917fed40c199a949baa0da166110c9b68fdc101808183f88b","sha256:7f24a213e46d277f82e54bd20a443a89f3bc1e3dfd495691dd613576b17d0ced"],"state_sha256":"00360b75e105ce3f93b4a37db9397b6ddb2e67c4f2ba1ba3de8065822ee3072a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pGgrDF1AEvbw+AMYWRUDk9kYgl0us7FK5+H1Yyc+L7cN+/uqc4UnhxVdr1OZDiGSoGO+VGwY4n6/YjI9fgdICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T21:02:04.256000Z","bundle_sha256":"f1dbc323873cc236bc94e74af83e9d37b84db81f92d7e254ed258447788ebcbd"}}