{"id":"https://openalex.org/W2252174377","doi":"https://doi.org/10.3115/v1/p15-2049","title":"Sieve-Based Entity Linking for the Biomedical Domain","display_name":"Sieve-Based Entity Linking for the Biomedical Domain","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2252174377","doi":"https://doi.org/10.3115/v1/p15-2049","mag":"2252174377"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p15-2049","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-2049","pdf_url":"https://doi.org/10.3115/v1/p15-2049","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/p15-2049","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017940779","display_name":"Jennifer D\u2019Souza","orcid":"https://orcid.org/0000-0002-6616-9509"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jennifer D'Souza","raw_affiliation_strings":["University of Texas at Dallas"],"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004305684","display_name":"Vincent Ng","orcid":"https://orcid.org/0000-0002-5114-3883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vincent Ng","raw_affiliation_strings":["Computer Science"],"affiliations":[{"raw_affiliation_string":"Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017940779"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8963,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.86094438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5791756510734558},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.520839273929596},{"id":"https://openalex.org/keywords/sieve","display_name":"Sieve (category theory)","score":0.465282142162323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0868074893951416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791756510734558},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.520839273929596},{"id":"https://openalex.org/C17732976","wikidata":"https://www.wikidata.org/wiki/Q7511782","display_name":"Sieve (category theory)","level":2,"score":0.465282142162323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0868074893951416},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/p15-2049","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-2049","pdf_url":"https://doi.org/10.3115/v1/p15-2049","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/p15-2049","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-2049","pdf_url":"https://doi.org/10.3115/v1/p15-2049","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2252174377.pdf","grobid_xml":"https://content.openalex.org/works/W2252174377.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W157320947","https://openalex.org/W1172683740","https://openalex.org/W1991154713","https://openalex.org/W2098162425","https://openalex.org/W2142016317","https://openalex.org/W2158743996","https://openalex.org/W2169099542","https://openalex.org/W2251403365","https://openalex.org/W2916047559"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2623347760","https://openalex.org/W3034138874","https://openalex.org/W2743342830","https://openalex.org/W2362192218","https://openalex.org/W1991466308","https://openalex.org/W2963566826"],"abstract_inverted_index":{"We":[0,13],"examine":[1],"a":[2,15],"key":[3],"task":[4],"in":[5],"biomedical":[6,45],"text":[7],"processing,":[8],"normalization":[9],"of":[10,26],"disorder":[11],"mentions.":[12],"present":[14],"multi-pass":[16],"sieve":[17],"approach":[18,31],"to":[19],"this":[20],"task,":[21],"which":[22],"has":[23],"the":[24,42],"advantage":[25],"simplicity":[27],"and":[28,41],"modularity.":[29],"Our":[30],"is":[32],"evaluated":[33],"on":[34],"two":[35],"datasets,":[36],"one":[37],"comprising":[38,44],"clinical":[39],"reports":[40],"other":[43],"abstracts,":[46],"achieving":[47],"state-of-the-art":[48],"results.":[49]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}