{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/entity-disambiguation/papers/ran/1","list_of":"/task/entity-disambiguation","task":"Entity Disambiguation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,15],"of":15,"counts":{"archive_papers_tagged":156,"with_a_code_link":63,"where_syntology_ran_a_sample":15,"not_listed_spam_title":0,"listed":156,"listed_where_code_ran":15,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":12,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":12,"listed_every_run_a_failure_of_syntologys_instrument":3,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/entity-disambiguation/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/verify-in-the-graph-entity-disambiguation","slug":"verify-in-the-graph-entity-disambiguation","title":"Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation","date":"2025-05-29","arxiv_id":"2505.22993","repositories_listed":0,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/verify-in-the-graph-entity-disambiguation#ran","syntology_url":"https://syntology.ai/paper/2505.22993","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.22993"}},"official":null}},{"url":"/paper/evaluating-design-decisions-for-dual-encoder","slug":"evaluating-design-decisions-for-dual-encoder","title":"Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation","date":"2025-05-16","arxiv_id":"2505.11683","repositories_listed":0,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/evaluating-design-decisions-for-dual-encoder#ran","syntology_url":"https://syntology.ai/paper/2505.11683","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.11683"}},"official":null}},{"url":"/paper/rexel-an-end-to-end-model-for-document-level","slug":"rexel-an-end-to-end-model-for-document-level","title":"REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking","date":"2024-04-19","arxiv_id":"2404.12788","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/rexel-an-end-to-end-model-for-document-level#ran","syntology_url":"https://syntology.ai/paper/2404.12788","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.12788"}},"official":{"repos":["amazon-science/e2e-docie"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["found_in_text"]}}},{"url":"/paper/flexible-grammar-based-constrained-decoding","slug":"flexible-grammar-based-constrained-decoding","title":"Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning","date":"2023-05-23","arxiv_id":"2305.13971","repositories_listed":2,"syntology":{"n":14,"n_ran":7,"n_constructed":0,"n_ran_checked":5,"n_instrument":2,"n_unverified":7,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/flexible-grammar-based-constrained-decoding#ran","syntology_url":"https://syntology.ai/paper/2305.13971","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.13971"}},"official":{"repos":["epfl-dlab/gcd"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":7,"ran_from_kinds":["official"]}}},{"url":"/paper/tempel-linking-dynamically-evolving-and-newly","slug":"tempel-linking-dynamically-evolving-and-newly","title":"TempEL: Linking Dynamically Evolving and Newly Emerging Entities","date":"2023-02-05","arxiv_id":"2302.02500","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/tempel-linking-dynamically-evolving-and-newly#ran","syntology_url":"https://syntology.ai/paper/2302.02500","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.02500"}},"official":{"repos":["klimzaporojets/tempel"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/cross-domain-data-integration-for-named","slug":"cross-domain-data-integration-for-named","title":"Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text","date":"2021-10-15","arxiv_id":"2110.08228","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/cross-domain-data-integration-for-named#ran","syntology_url":"https://syntology.ai/paper/2110.08228","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.08228"}},"official":{"repos":["hazyresearch/medical-ned-integration"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/highly-parallel-autoregressive-entity-linking","slug":"highly-parallel-autoregressive-entity-linking","title":"Highly Parallel Autoregressive Entity Linking with Discriminative Correction","date":"2021-09-08","arxiv_id":"2109.03792","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/highly-parallel-autoregressive-entity-linking#ran","syntology_url":"https://syntology.ai/paper/2109.03792","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.03792"}},"official":{"repos":["nicola-decao/efficient-autoregressive-EL"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/entity-linking-in-100-languages","slug":"entity-linking-in-100-languages","title":"Entity Linking in 100 Languages","date":"2020-11-05","arxiv_id":"2011.02690","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":3,"n_ran_checked":4,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"6 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/entity-linking-in-100-languages#ran","syntology_url":"https://syntology.ai/paper/2011.02690","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2011.02690"}},"official":null}},{"url":"/paper/bootleg-chasing-the-tail-with-self-supervised","slug":"bootleg-chasing-the-tail-with-self-supervised","title":"Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation","date":"2020-10-20","arxiv_id":"2010.10363","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/bootleg-chasing-the-tail-with-self-supervised#ran","syntology_url":"https://syntology.ai/paper/2010.10363","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.10363"}},"official":null}},{"url":"/paper/investigating-entity-knowledge-in-bert-with-1","slug":"investigating-entity-knowledge-in-bert-with-1","title":"Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking","date":"2020-03-11","arxiv_id":"2003.05473","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/investigating-entity-knowledge-in-bert-with-1#ran","syntology_url":"https://syntology.ai/paper/2003.05473","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.05473"}},"official":{"repos":["samuelbroscheit/entity_knowledge_in_bert"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-dynamic-context-augmentation-for","slug":"learning-dynamic-context-augmentation-for","title":"Learning Dynamic Context Augmentation for Global Entity Linking","date":"2019-09-04","arxiv_id":"1909.02117","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/learning-dynamic-context-augmentation-for#ran","syntology_url":"https://syntology.ai/paper/1909.02117","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.02117"}},"official":{"repos":["YoungXiyuan/DCA"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/boosting-entity-linking-performance-by","slug":"boosting-entity-linking-performance-by","title":"Boosting Entity Linking Performance by Leveraging Unlabeled Documents","date":"2019-06-04","arxiv_id":"1906.01250","repositories_listed":1,"syntology":{"n":6,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/boosting-entity-linking-performance-by#ran","syntology_url":"https://syntology.ai/paper/1906.01250","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1906.01250"}},"official":{"repos":["lephong/wnel"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/end-to-end-neural-entity-linking","slug":"end-to-end-neural-entity-linking","title":"End-to-End Neural Entity Linking","date":"2018-08-23","arxiv_id":"1808.07699","repositories_listed":1,"syntology":{"n":9,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":8,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 8 unverified","sample_list":"/paper/end-to-end-neural-entity-linking#ran","syntology_url":"https://syntology.ai/paper/1808.07699","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.07699"}},"official":{"repos":["dalab/end2end_neural_el"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":8,"ran_from_kinds":["official"]}}},{"url":"/paper/collective-entity-disambiguation-with","slug":"collective-entity-disambiguation-with","title":"Collective Entity Disambiguation with Structured Gradient Tree Boosting","date":"2018-02-28","arxiv_id":"1802.10229","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/collective-entity-disambiguation-with#ran","syntology_url":"https://syntology.ai/paper/1802.10229","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1802.10229"}},"official":{"repos":["bloomberg/sgtb"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/deeptype-multilingual-entity-linking-by","slug":"deeptype-multilingual-entity-linking-by","title":"DeepType: Multilingual Entity Linking by Neural Type System Evolution","date":"2018-02-03","arxiv_id":"1802.01021","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/deeptype-multilingual-entity-linking-by#ran","syntology_url":"https://syntology.ai/paper/1802.01021","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1802.01021"}},"official":{"repos":["openai/deeptype"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}}],"record_sha256":"ce269353c880544f24e4de2fa8aa16007f00c1cb6b93db1c016797c08d6a2704","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}