{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:SPQJ3T6QXO6JP62R5RKNZSVBQN","short_pith_number":"pith:SPQJ3T6Q","schema_version":"1.0","canonical_sha256":"93e09dcfd0bbbc97fb51ec54dccaa183799d36a2336d02a3c0f7bd9e58f3d53a","source":{"kind":"arxiv","id":"1702.06696","version":1},"attestation_state":"computed","paper":{"title":"One Representation per Word - Does it make Sense for Composition?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"David Weir, Jeremy Reffin, John Wilkie, Julie Weeds, Thomas Kober","submitted_at":"2017-02-22T07:41:08Z","abstract_excerpt":"In this paper, we investigate whether an a priori disambiguation of word senses is strictly necessary or whether the meaning of a word in context can be disambiguated through composition alone. We evaluate the performance of off-the-shelf single-vector and multi-sense vector models on a benchmark phrase similarity task and a novel task for word-sense discrimination. We find that single-sense vector models perform as well or better than multi-sense vector models despite arguably less clean elementary representations. Our findings furthermore show that simple composition functions such as pointw"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1702.06696","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-02-22T07:41:08Z","cross_cats_sorted":[],"title_canon_sha256":"7d0bbb62d31eb18b8e901d0c337c154fd9cf04e2f7060a466dedb552e74d757f","abstract_canon_sha256":"71e5edd8ea2a61cbaa4824835dd23fd7347d535b0c7d968b857cab696bb39a92"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:12.912883Z","signature_b64":"PUYY32AGl2F3YoZvliBDKURY4+s044j8tXorBbtxtRII3TgUC9gmjLQoGxnXQQ9xsDK+0POcQyky7p7ECIwGCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93e09dcfd0bbbc97fb51ec54dccaa183799d36a2336d02a3c0f7bd9e58f3d53a","last_reissued_at":"2026-05-18T00:50:12.912440Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:12.912440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"One Representation per Word - Does it make Sense for Composition?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"David Weir, Jeremy Reffin, John Wilkie, Julie Weeds, Thomas Kober","submitted_at":"2017-02-22T07:41:08Z","abstract_excerpt":"In this paper, we investigate whether an a priori disambiguation of word senses is strictly necessary or whether the meaning of a word in context can be disambiguated through composition alone. We evaluate the performance of off-the-shelf single-vector and multi-sense vector models on a benchmark phrase similarity task and a novel task for word-sense discrimination. We find that single-sense vector models perform as well or better than multi-sense vector models despite arguably less clean elementary representations. Our findings furthermore show that simple composition functions such as pointw"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.06696","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1702.06696","created_at":"2026-05-18T00:50:12.912499+00:00"},{"alias_kind":"arxiv_version","alias_value":"1702.06696v1","created_at":"2026-05-18T00:50:12.912499+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.06696","created_at":"2026-05-18T00:50:12.912499+00:00"},{"alias_kind":"pith_short_12","alias_value":"SPQJ3T6QXO6J","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"SPQJ3T6QXO6JP62R","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"SPQJ3T6Q","created_at":"2026-05-18T12:31:43.269735+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN","json":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN.json","graph_json":"https://pith.science/api/pith-number/SPQJ3T6QXO6JP62R5RKNZSVBQN/graph.json","events_json":"https://pith.science/api/pith-number/SPQJ3T6QXO6JP62R5RKNZSVBQN/events.json","paper":"https://pith.science/paper/SPQJ3T6Q"},"agent_actions":{"view_html":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN","download_json":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN.json","view_paper":"https://pith.science/paper/SPQJ3T6Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1702.06696&json=true","fetch_graph":"https://pith.science/api/pith-number/SPQJ3T6QXO6JP62R5RKNZSVBQN/graph.json","fetch_events":"https://pith.science/api/pith-number/SPQJ3T6QXO6JP62R5RKNZSVBQN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN/action/storage_attestation","attest_author":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN/action/author_attestation","sign_citation":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN/action/citation_signature","submit_replication":"https://pith.science/pith/SPQJ3T6QXO6JP62R5RKNZSVBQN/action/replication_record"}},"created_at":"2026-05-18T00:50:12.912499+00:00","updated_at":"2026-05-18T00:50:12.912499+00:00"}