{"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-linking/papers/3","list_of":"/task/entity-linking","task":"Entity Linking","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":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":3,"pages_in_order":8,"rows_per_page":100,"rows":[201,300],"of":735,"counts":{"archive_papers_tagged":735,"with_a_code_link":277,"where_syntology_ran_a_sample":31,"not_listed_spam_title":0,"listed":735,"listed_where_code_ran":31,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":24,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":24,"listed_every_run_a_failure_of_syntologys_instrument":7,"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-linking","prev":"/task/entity-linking/papers/2","next":"/task/entity-linking/papers/4","papers":[{"url":"/paper/pnel-pointer-network-based-end-to-end-entity","slug":"pnel-pointer-network-based-end-to-end-entity","title":"PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs","date":"2020-08-31","arxiv_id":"2009.00106","repositories_listed":1,"syntology":null},{"url":"/paper/from-zero-to-hero-human-in-the-loop-entity","slug":"from-zero-to-hero-human-in-the-loop-entity","title":"From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains","date":"2020-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/rel-an-entity-linker-standing-on-the","slug":"rel-an-entity-linker-standing-on-the","title":"REL: An Entity Linker Standing on the Shoulders of Giants","date":"2020-06-02","arxiv_id":"2006.01969","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/rel-an-entity-linker-standing-on-the#ran","syntology_url":"https://syntology.ai/paper/2006.01969","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.01969"}},"official":null}},{"url":"/paper/rubq-a-russian-dataset-for-question-answering","slug":"rubq-a-russian-dataset-for-question-answering","title":"RuBQ: A Russian Dataset for Question Answering over Wikidata","date":"2020-05-21","arxiv_id":"2005.10659","repositories_listed":1,"syntology":null},{"url":"/paper/soft-gazetteers-for-low-resource-named-entity","slug":"soft-gazetteers-for-low-resource-named-entity","title":"Soft Gazetteers for Low-Resource Named Entity Recognition","date":"2020-05-04","arxiv_id":"2005.01866","repositories_listed":1,"syntology":null},{"url":"/paper/design-challenges-for-low-resource-cross","slug":"design-challenges-for-low-resource-cross","title":"Design Challenges in Low-resource Cross-lingual Entity Linking","date":"2020-05-02","arxiv_id":"2005.00692","repositories_listed":1,"syntology":null},{"url":"/paper/medtype-improving-medical-entity-linking-with","slug":"medtype-improving-medical-entity-linking-with","title":"Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets","date":"2020-05-01","arxiv_id":"2005.00460","repositories_listed":1,"syntology":null},{"url":"/paper/wic-tsv-an-evaluation-benchmark-for-target","slug":"wic-tsv-an-evaluation-benchmark-for-target","title":"WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context","date":"2020-04-30","arxiv_id":"2004.15016","repositories_listed":1,"syntology":null},{"url":"/paper/a-recurrent-model-for-collective-entity","slug":"a-recurrent-model-for-collective-entity","title":"A Recurrent Model for Collective Entity Linking with Adaptive Features","date":"2020-04-03","arxiv_id":null,"repositories_listed":1,"syntology":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/improving-candidate-generation-for-low","slug":"improving-candidate-generation-for-low","title":"Improving Candidate Generation for Low-resource Cross-lingual Entity Linking","date":"2020-03-03","arxiv_id":"2003.01343","repositories_listed":1,"syntology":null},{"url":"/paper/bert-is-not-a-knowledge-base-yet-factual","slug":"bert-is-not-a-knowledge-base-yet-factual","title":"E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT","date":"2019-11-09","arxiv_id":"1911.03681","repositories_listed":1,"syntology":null},{"url":"/paper/an-ensemble-cnn-method-for-biomedical-entity","slug":"an-ensemble-cnn-method-for-biomedical-entity","title":"An ensemble CNN method for biomedical entity normalization","date":"2019-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/knowledgenet-a-benchmark-dataset-for","slug":"knowledgenet-a-benchmark-dataset-for","title":"KnowledgeNet: A Benchmark Dataset for Knowledge Base Population","date":"2019-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/towards-zero-resource-cross-lingual-entity","slug":"towards-zero-resource-cross-lingual-entity","title":"Towards Zero-resource Cross-lingual Entity Linking","date":"2019-09-29","arxiv_id":"1909.13180","repositories_listed":1,"syntology":null},{"url":"/paper/improving-fine-grained-entity-typing-with","slug":"improving-fine-grained-entity-typing-with","title":"Improving Fine-grained Entity Typing with Entity Linking","date":"2019-09-26","arxiv_id":"1909.12079","repositories_listed":1,"syntology":null},{"url":"/paper/fine-grained-entity-typing-for-domain","slug":"fine-grained-entity-typing-for-domain","title":"Fine-Grained Entity Typing for Domain Independent Entity Linking","date":"2019-09-12","arxiv_id":"1909.05780","repositories_listed":1,"syntology":null},{"url":"/paper/knowledge-enhanced-contextual-word","slug":"knowledge-enhanced-contextual-word","title":"Knowledge Enhanced Contextual Word Representations","date":"2019-09-09","arxiv_id":"1909.04164","repositories_listed":1,"syntology":null},{"url":"/paper/neural-collective-entity-linking-based-on","slug":"neural-collective-entity-linking-based-on","title":"Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning","date":"2019-06-20","arxiv_id":"1906.09320","repositories_listed":1,"syntology":null},{"url":"/paper/kcat-a-knowledge-constraint-typing-annotation","slug":"kcat-a-knowledge-constraint-typing-annotation","title":"KCAT: A Knowledge-Constraint Typing Annotation Tool","date":"2019-06-13","arxiv_id":"1906.05670","repositories_listed":1,"syntology":null},{"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/old-is-gold-linguistic-driven-approach-for","slug":"old-is-gold-linguistic-driven-approach-for","title":"Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/distant-learning-for-entity-linking-with","slug":"distant-learning-for-entity-linking-with","title":"Distant Learning for Entity Linking with Automatic Noise Detection","date":"2019-05-17","arxiv_id":"1905.07189","repositories_listed":1,"syntology":null},{"url":"/paper/what-do-entity-centric-models-learn-insights","slug":"what-do-entity-centric-models-learn-insights","title":"What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue","date":"2019-05-16","arxiv_id":"1905.06649","repositories_listed":1,"syntology":null},{"url":"/paper/opentapioca-lightweight-entity-linking-for","slug":"opentapioca-lightweight-entity-linking-for","title":"OpenTapioca: Lightweight Entity Linking for Wikidata","date":"2019-04-19","arxiv_id":"1904.09131","repositories_listed":1,"syntology":null},{"url":"/paper/medmentions-a-large-biomedical-corpus","slug":"medmentions-a-large-biomedical-corpus","title":"MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts","date":"2019-02-25","arxiv_id":"1902.09476","repositories_listed":1,"syntology":null},{"url":"/paper/neural-collective-entity-linking","slug":"neural-collective-entity-linking","title":"Neural Collective Entity Linking","date":"2018-11-21","arxiv_id":"1811.08603","repositories_listed":1,"syntology":null},{"url":"/paper/bio-yodie-a-named-entity-linking-system-for","slug":"bio-yodie-a-named-entity-linking-system-for","title":"Bio-YODIE: A Named Entity Linking System for Biomedical Text","date":"2018-11-12","arxiv_id":"1811.04860","repositories_listed":1,"syntology":null},{"url":"/paper/zero-shot-neural-transfer-for-cross-lingual","slug":"zero-shot-neural-transfer-for-cross-lingual","title":"Zero-shot Neural Transfer for Cross-lingual Entity Linking","date":"2018-11-09","arxiv_id":"1811.04154","repositories_listed":1,"syntology":null},{"url":"/paper/interactive-instance-based-evaluation-of","slug":"interactive-instance-based-evaluation-of","title":"Interactive Instance-based Evaluation of Knowledge Base Question Answering","date":"2018-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/effective-use-of-context-in-noisy-entity","slug":"effective-use-of-context-in-noisy-entity","title":"Effective Use of Context in Noisy Entity Linking","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/entity-linking-within-a-social-media-platform","slug":"entity-linking-within-a-social-media-platform","title":"Entity Linking within a Social Media Platform: A Case Study on Yelp","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/facts-that-matter","slug":"facts-that-matter","title":"Facts That Matter","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/learning-text-representations-for-500k","slug":"learning-text-representations-for-500k","title":"Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/put-it-back-entity-typing-with-language-model","slug":"put-it-back-entity-typing-with-language-model","title":"Put It Back: Entity Typing with Language Model Enhancement","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/bootstrapping-transliteration-with","slug":"bootstrapping-transliteration-with","title":"Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages","date":"2018-09-20","arxiv_id":"1809.07807","repositories_listed":1,"syntology":null},{"url":"/paper/joint-multilingual-supervision-for-cross","slug":"joint-multilingual-supervision-for-cross","title":"Joint Multilingual Supervision for Cross-lingual Entity Linking","date":"2018-09-20","arxiv_id":"1809.07657","repositories_listed":1,"syntology":null},{"url":"/paper/ukp-athene-multi-sentence-textual-entailment","slug":"ukp-athene-multi-sentence-textual-entailment","title":"UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification","date":"2018-09-03","arxiv_id":"1809.01479","repositories_listed":1,"syntology":{"n":10,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/ukp-athene-multi-sentence-textual-entailment#ran","syntology_url":"https://syntology.ai/paper/1809.01479","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1809.01479"}},"official":{"repos":["UKPLab/fever-2018-team-athene"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"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/a-korean-knowledge-extraction-system-for","slug":"a-korean-knowledge-extraction-system-for","title":"A Korean Knowledge Extraction System for Enriching a KBox","date":"2018-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/attributed-and-predictive-entity-embedding","slug":"attributed-and-predictive-entity-embedding","title":"Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases","date":"2018-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/improving-named-entity-recognition-by-jointly-1","slug":"improving-named-entity-recognition-by-jointly-1","title":"Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags","date":"2018-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/nlatool-an-application-for-enhanced-deep-text","slug":"nlatool-an-application-for-enhanced-deep-text","title":"NLATool: an Application for Enhanced Deep Text Understanding","date":"2018-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/the-inception-platform-machine-assisted-and","slug":"the-inception-platform-machine-assisted-and","title":"The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation","date":"2018-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/ultra-fine-entity-typing","slug":"ultra-fine-entity-typing","title":"Ultra-Fine Entity Typing","date":"2018-07-13","arxiv_id":"1807.04905","repositories_listed":1,"syntology":null},{"url":"/paper/natural-language-processing-for-information","slug":"natural-language-processing-for-information","title":"Natural Language Processing for Information Extraction","date":"2018-07-06","arxiv_id":"1807.02383","repositories_listed":1,"syntology":null},{"url":"/paper/entity-commonsense-representation-for-neural","slug":"entity-commonsense-representation-for-neural","title":"Entity Commonsense Representation for Neural Abstractive Summarization","date":"2018-06-14","arxiv_id":"1806.05504","repositories_listed":1,"syntology":null},{"url":"/paper/a-neural-layered-model-for-nested-named","slug":"a-neural-layered-model-for-nested-named","title":"A Neural Layered Model for Nested Named Entity Recognition","date":"2018-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/elden-improved-entity-linking-using-densified","slug":"elden-improved-entity-linking-using-densified","title":"ELDEN: Improved Entity Linking Using Densified Knowledge Graphs","date":"2018-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/entity-linking-in-40-languages-using-mag","slug":"entity-linking-in-40-languages-using-mag","title":"Entity Linking in 40 Languages using MAG","date":"2018-05-29","arxiv_id":"1805.11467","repositories_listed":1,"syntology":null},{"url":"/paper/creation-of-a-balanced-state-of-the-art","slug":"creation-of-a-balanced-state-of-the-art","title":"Creation of a Balanced State-of-the-Art Multilayer Corpus for NLU","date":"2018-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-for-entity-matching-a-design","slug":"deep-learning-for-entity-matching-a-design","title":"Deep Learning for Entity Matching: A Design Space Exploration","date":"2018-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/framing-named-entity-linking-error-types","slug":"framing-named-entity-linking-error-types","title":"Framing Named Entity Linking Error Types","date":"2018-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/t-rex-a-large-scale-alignment-of-natural","slug":"t-rex-a-large-scale-alignment-of-natural","title":"T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples","date":"2018-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/mixing-context-granularities-for-improved","slug":"mixing-context-granularities-for-improved","title":"Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories","date":"2018-04-23","arxiv_id":"1804.08460","repositories_listed":1,"syntology":null},{"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"]}}},{"url":"/paper/earl-joint-entity-and-relation-linking-for","slug":"earl-joint-entity-and-relation-linking-for","title":"EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs","date":"2018-01-11","arxiv_id":"1801.03825","repositories_listed":1,"syntology":null},{"url":"/paper/open-world-knowledge-graph-completion","slug":"open-world-knowledge-graph-completion","title":"Open-World Knowledge Graph Completion","date":"2017-11-09","arxiv_id":"1711.03438","repositories_listed":1,"syntology":{"n":5,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":4,"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) · 4 unverified","sample_list":"/paper/open-world-knowledge-graph-completion#ran","syntology_url":"https://syntology.ai/paper/1711.03438","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1711.03438"}},"official":{"repos":["bxshi/ConMask"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/bengal-an-automatic-benchmark-generator-for","slug":"bengal-an-automatic-benchmark-generator-for","title":"BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking","date":"2017-10-24","arxiv_id":"1710.08691","repositories_listed":1,"syntology":null},{"url":"/paper/neural-semantic-parsing-with-type-constraints","slug":"neural-semantic-parsing-with-type-constraints","title":"Neural Semantic Parsing with Type Constraints for Semi-Structured Tables","date":"2017-09-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/mag-a-multilingual-knowledge-base-agnostic","slug":"mag-a-multilingual-knowledge-base-agnostic","title":"MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach","date":"2017-07-17","arxiv_id":"1707.05288","repositories_listed":1,"syntology":null},{"url":"/paper/learning-distributed-representations-of-texts","slug":"learning-distributed-representations-of-texts","title":"Learning Distributed Representations of Texts and Entities from Knowledge Base","date":"2017-05-06","arxiv_id":"1705.02494","repositories_listed":1,"syntology":null},{"url":"/paper/a-tidy-data-model-for-natural-language","slug":"a-tidy-data-model-for-natural-language","title":"A Tidy Data Model for Natural Language Processing using cleanNLP","date":"2017-03-27","arxiv_id":"1703.09570","repositories_listed":1,"syntology":null},{"url":"/paper/on-the-impact-of-entity-linking-in-microblog","slug":"on-the-impact-of-entity-linking-in-microblog","title":"On the Impact of Entity Linking in Microblog Real-Time Filtering","date":"2016-11-10","arxiv_id":"1611.03350","repositories_listed":1,"syntology":null},{"url":"/paper/twitter-at-the-grammys-a-social-media-corpus","slug":"twitter-at-the-grammys-a-social-media-corpus","title":"Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation","date":"2016-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/character-identification-on-multiparty","slug":"character-identification-on-multiparty","title":"Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows","date":"2016-09-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/robust-named-entity-recognition-in","slug":"robust-named-entity-recognition-in","title":"Robust Named Entity Recognition in Idiosyncratic Domains","date":"2016-08-24","arxiv_id":"1608.06757","repositories_listed":1,"syntology":null},{"url":"/paper/entity-linking-with-a-paraphrase-flavor","slug":"entity-linking-with-a-paraphrase-flavor","title":"Entity Linking with a Paraphrase Flavor","date":"2016-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/capturing-semantic-similarity-for-entity","slug":"capturing-semantic-similarity-for-entity","title":"Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks","date":"2016-04-04","arxiv_id":"1604.00734","repositories_listed":1,"syntology":null},{"url":"/paper/joint-learning-of-the-embedding-of-words-and","slug":"joint-learning-of-the-embedding-of-words-and","title":"Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation","date":"2016-01-06","arxiv_id":"1601.01343","repositories_listed":1,"syntology":null},{"url":"/paper/probabilistic-bag-of-hyperlinks-model-for","slug":"probabilistic-bag-of-hyperlinks-model-for","title":"Probabilistic Bag-Of-Hyperlinks Model for Entity Linking","date":"2015-09-08","arxiv_id":"1509.02301","repositories_listed":1,"syntology":null},{"url":"/paper/an-empirical-study-of-chinese-name-matching","slug":"an-empirical-study-of-chinese-name-matching","title":"An Empirical Study of Chinese Name Matching and Applications","date":"2015-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/semantic-parsing-via-staged-query-graph","slug":"semantic-parsing-via-staged-query-graph","title":"Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base","date":"2015-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/sematch-semantic-entity-search-from-knowledge","slug":"sematch-semantic-entity-search-from-knowledge","title":"Sematch: Semantic Entity Search from Knowledge Graph","date":"2015-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-entity-linking-with-abstract","slug":"unsupervised-entity-linking-with-abstract","title":"Unsupervised Entity Linking with Abstract Meaning Representation","date":"2015-05-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/entity-disambiguation-with-web-links","slug":"entity-disambiguation-with-web-links","title":"Entity Disambiguation with Web Links","date":"2015-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/parma-a-predicate-argument-aligner","slug":"parma-a-predicate-argument-aligner","title":"PARMA: A Predicate Argument Aligner","date":"2013-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":null,"slug":"distilling-closed-source-llm-s-knowledge-for","title":"Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking","date":"2025-05-26","arxiv_id":"2505.19722","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-llms-on-long-tail-entity","title":"Evaluation of LLMs on Long-tail Entity Linking in Historical Documents","date":"2025-05-06","arxiv_id":"2505.03473","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-document-contextual-coreference","title":"Cross-Document Contextual Coreference Resolution in Knowledge Graphs","date":"2025-04-08","arxiv_id":"2504.05767","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-icd-coding-via-entity-linking","title":"Explainable ICD Coding via Entity Linking","date":"2025-03-26","arxiv_id":"2503.20508","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-knowledge-graphs-and-llms-for","title":"Leveraging Knowledge Graphs and LLMs for Context-Aware Messaging","date":"2025-03-12","arxiv_id":"2503.13499","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-language-models-struggle-to-align","title":"Vision-Language Models Struggle to Align Entities across Modalities","date":"2025-03-05","arxiv_id":"2503.03854","repositories_listed":0,"syntology":null},{"url":null,"slug":"musical-heritage-historical-entity-linking","title":"Musical Heritage Historical Entity Linking","date":"2025-02-13","arxiv_id":"2502.09168","repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-linking-using-llms-for-automated","title":"Entity Linking using LLMs for Automated Product Carbon Footprint Estimation","date":"2025-02-11","arxiv_id":"2502.07418","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-multimodal-entity-linking-with","title":"Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation","date":"2025-01-24","arxiv_id":"2501.14166","repositories_listed":0,"syntology":null},{"url":null,"slug":"medct-a-clinical-terminology-graph-for","title":"MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare","date":"2025-01-11","arxiv_id":"2501.06465","repositories_listed":0,"syntology":null},{"url":null,"slug":"vp-mel-visual-prompts-guided-multimodal","title":"VP-MEL: Visual Prompts Guided Multimodal Entity Linking","date":"2024-12-09","arxiv_id":"2412.06720","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-hallucinations-in-language-models","title":"Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality","date":"2024-11-18","arxiv_id":"2411.11531","repositories_listed":0,"syntology":null},{"url":null,"slug":"jel-applying-end-to-end-neural-entity-linking","title":"JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase","date":"2024-11-05","arxiv_id":"2411.02695","repositories_listed":0,"syntology":null},{"url":null,"slug":"ocean-offline-chain-of-thought-evaluation-and","title":"OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models","date":"2024-10-31","arxiv_id":"2410.23703","repositories_listed":0,"syntology":null},{"url":null,"slug":"m-3el-a-multi-task-multi-topic-dataset-for","title":"$M^3EL$: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking","date":"2024-10-08","arxiv_id":"2410.18096","repositories_listed":0,"syntology":null},{"url":null,"slug":"vrdsynth-synthesizing-programs-for","title":"VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction","date":"2024-07-09","arxiv_id":"2407.06826","repositories_listed":0,"syntology":null},{"url":null,"slug":"climateli-evaluating-entity-linking-on","title":"CLIMATELI: Evaluating Entity Linking on Climate Change Data","date":"2024-06-24","arxiv_id":"2406.16732","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-natural-language-explanations","title":"Learning from Natural Language Explanations for Generalizable Entity Matching","date":"2024-06-13","arxiv_id":"2406.09330","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-biomedical-entity-linking-clinical","title":"Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques","date":"2024-05-24","arxiv_id":"2405.15134","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-neighbors-together-makes-it-easy","title":"Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval","date":"2024-05-21","arxiv_id":"2405.12801","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-on-earth-do-users-say-they-are-geo","title":"Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input","date":"2024-04-29","arxiv_id":"2404.18784","repositories_listed":0,"syntology":null},{"url":null,"slug":"2m-ner-contrastive-learning-for-multilingual","title":"2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion","date":"2024-04-26","arxiv_id":"2404.17122","repositories_listed":0,"syntology":null},{"url":null,"slug":"clinlinker-medical-entity-linking-of-clinical","title":"ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish","date":"2024-04-09","arxiv_id":"2404.06367","repositories_listed":0,"syntology":null}],"record_sha256":"815de2935710aecfdeb5e90a237736c4ee540456e2acfc44a77d4047761bf8b9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}