{"id":"https://openalex.org/W2138887837","doi":"https://doi.org/10.1186/1471-2105-12-355","title":"Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical texts","display_name":"Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical texts","publication_year":2011,"publication_date":"2011-08-26","ids":{"openalex":"https://openalex.org/W2138887837","doi":"https://doi.org/10.1186/1471-2105-12-355","mag":"2138887837","pmid":"https://pubmed.ncbi.nlm.nih.gov/21871110"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-12-355","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-355","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-355","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-355","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057033593","display_name":"Laura Plaza","orcid":"https://orcid.org/0000-0001-5144-8014"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Laura Plaza","raw_affiliation_strings":["Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, 28040 Madrid, Spain. lplazam@fdi.ucm.es","Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, 28040 Madrid, Spain. lplazam@fdi.ucm.es","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077681143","display_name":"Antonio Jimeno Yepes","orcid":"https://orcid.org/0000-0002-6581-094X"},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio J Jimeno-Yepes","raw_affiliation_strings":["National Library of Medicine, 8600 Rockville Pike, Bethesda, MD, 20894, USA","[National Library of Medicine, Bethesda, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Medicine, 8600 Rockville Pike, Bethesda, MD, 20894, USA","institution_ids":["https://openalex.org/I2800548410"]},{"raw_affiliation_string":"[National Library of Medicine, Bethesda, USA]","institution_ids":["https://openalex.org/I2800548410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048725475","display_name":"Alberto D\u00edaz","orcid":"https://orcid.org/0000-0003-1966-3421"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto D\u00edaz","raw_affiliation_strings":["Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, 28040, Madrid, Spain","Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, 28040, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Universidad Complutense de Madrid, Calle Profesor Jos\u00e9 Garc\u00eda Santesmases s/n, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018615989","display_name":"Alan R. Aronson","orcid":null},"institutions":[{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan R Aronson","raw_affiliation_strings":["National Library of Medicine, 8600 Rockville Pike, Bethesda, MD, 20894, USA","[National Library of Medicine, Bethesda, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Library of Medicine, 8600 Rockville Pike, Bethesda, MD, 20894, USA","institution_ids":["https://openalex.org/I2800548410"]},{"raw_affiliation_string":"[National Library of Medicine, Bethesda, USA]","institution_ids":["https://openalex.org/I2800548410"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057033593"],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":1.2165,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.78203549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"355","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8655999898910522,"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":0.8655999898910522,"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":0.09049999713897705,"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":0.01489999983459711,"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/automatic-summarization","display_name":"Automatic summarization","score":0.928056001663208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.846621036529541},{"id":"https://openalex.org/keywords/unified-medical-language-system","display_name":"Unified Medical Language System","score":0.7253825068473816},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6871738433837891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734400153160095},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5467381477355957},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5035428404808044},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5019881725311279},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49621421098709106},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4462345242500305},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.44189926981925964},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.1789390742778778},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17480242252349854}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.928056001663208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.846621036529541},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.7253825068473816},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6871738433837891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734400153160095},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5467381477355957},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5035428404808044},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5019881725311279},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49621421098709106},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4462345242500305},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.44189926981925964},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.1789390742778778},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17480242252349854},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-12-355","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-355","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-355","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:21871110","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21871110","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/259011","is_oa":true,"landing_page_url":"http://hdl.handle.net/11343/259011","pdf_url":"http://hdl.handle.net/11343/259011","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:a52e8dc7a37342569573cc44c54bd926","is_oa":false,"landing_page_url":"https://doaj.org/article/a52e8dc7a37342569573cc44c54bd926","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 12, Iss 1, p 355 (2011)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3176269","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3176269","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-12-355","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-355","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-355","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332382","display_name":"Oak Ridge Institute for Science and Education","ror":"https://ror.org/0526p1y61"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2138887837.pdf","grobid_xml":"https://content.openalex.org/works/W2138887837.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W170684085","https://openalex.org/W323540269","https://openalex.org/W935015117","https://openalex.org/W1034019924","https://openalex.org/W1409617254","https://openalex.org/W1503749881","https://openalex.org/W1525595230","https://openalex.org/W1532254950","https://openalex.org/W1538369613","https://openalex.org/W1555354714","https://openalex.org/W1555805532","https://openalex.org/W1569168387","https://openalex.org/W1573514622","https://openalex.org/W1580481679","https://openalex.org/W1586628685","https://openalex.org/W1965316693","https://openalex.org/W1971220772","https://openalex.org/W1976316416","https://openalex.org/W1984293430","https://openalex.org/W1985104050","https://openalex.org/W1987562605","https://openalex.org/W1989335536","https://openalex.org/W2001716701","https://openalex.org/W2022088830","https://openalex.org/W2028102159","https://openalex.org/W2056325010","https://openalex.org/W2066636486","https://openalex.org/W2074838152","https://openalex.org/W2080519092","https://openalex.org/W2081580037","https://openalex.org/W2098201295","https://openalex.org/W2101171038","https://openalex.org/W2101390659","https://openalex.org/W2107635971","https://openalex.org/W2108528416","https://openalex.org/W2110693578","https://openalex.org/W2112881931","https://openalex.org/W2122402213","https://openalex.org/W2123635471","https://openalex.org/W2130160813","https://openalex.org/W2135508356","https://openalex.org/W2154439800","https://openalex.org/W2154652894","https://openalex.org/W2159583324","https://openalex.org/W2182959134","https://openalex.org/W2398518647","https://openalex.org/W2594706607","https://openalex.org/W2601748485","https://openalex.org/W2911716267","https://openalex.org/W2913260242","https://openalex.org/W2914370459","https://openalex.org/W3020747745","https://openalex.org/W3035219831","https://openalex.org/W3098800931","https://openalex.org/W3101913037","https://openalex.org/W3151369355","https://openalex.org/W4206475632","https://openalex.org/W4241850027","https://openalex.org/W4248219478"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W2188275805","https://openalex.org/W2904069821","https://openalex.org/W2250229172","https://openalex.org/W2400820757","https://openalex.org/W3087778885"],"abstract_inverted_index":{"BACKGROUND:":[0],"Word":[1],"sense":[2],"disambiguation":[3,254],"(WSD)":[4],"attempts":[5],"to":[6,26,34,99,124,217,272],"solve":[7],"lexical":[8],"ambiguities":[9],"by":[10,91,143,234],"identifying":[11],"the":[12,38,41,44,48,68,72,75,83,93,96,103,108,115,122,130,135,144,160,170,180,198,202,208,213,220,224,231,235,242,251,262,266,270],"correct":[13],"meaning":[14],"of":[15,43,95,121,162,172,201,265],"a":[16,64,166,195],"word":[17],"based":[18],"on":[19,169,261],"its":[20],"context.":[21],"WSD":[22,45,61,69,89,97,105,110,117,163,181,203,210,243],"has":[23,51,156,165],"been":[24,53,157],"demonstrated":[25],"be":[27,218,273],"an":[28],"important":[29,258],"step":[30],"in":[31,129,147,212,223,253,269],"knowledge-based":[32,60],"approaches":[33,62,70],"automatic":[35],"summarization.":[36],"However,":[37,226],"correlation":[39,196],"between":[40,197],"accuracy":[42],"methods":[46,98,118,146],"and":[47,63,71,107,133,152,176,182,189,204],"summarization":[49,183,205],"performance":[50],"never":[52],"studied.":[54],"RESULTS:":[55],"We":[56,86,112],"present":[57],"three":[58],"existing":[59],"graph-based":[65,174],"summarizer.":[66],"Both":[67],"summarizer":[73,236],"employ":[74],"Unified":[76],"Medical":[77],"Language":[78],"System":[79],"(UMLS)":[80],"Metathesaurus":[81],"as":[82,119],"knowledge":[84],"source.":[85],"first":[87,214],"evaluate":[88,134],"directly,":[90],"comparing":[92],"prediction":[94],"two":[100],"reference":[101],"sets:":[102],"NLM":[104],"dataset":[106],"MSH":[109],"collection.":[111],"next":[113],"apply":[114],"different":[116,145,267],"part":[120],"summarizer,":[123,175],"map":[125],"documents":[126],"onto":[127],"concepts":[128,268],"UMLS":[131],"Metathesaurus,":[132],"summaries":[136],"that":[137,159,230,250],"are":[138,150,185,255],"generated.":[139],"The":[140,245],"results":[141,171,200],"obtained":[142],"both":[148,179],"evaluations":[149],"studied":[151],"compared.":[153],"CONCLUSIONS:":[154],"It":[155],"found":[158,229],"use":[161],"techniques":[164],"positive":[167],"impact":[168],"our":[173],"that,":[177],"when":[178],"tasks":[184],"assessed":[186],"over":[187],"large":[188],"homogeneous":[190],"evaluation":[191],"collections,":[192],"there":[193],"exists":[194],"overall":[199],"tasks.":[206],"Furthermore,":[207],"best":[209,221],"algorithm":[211],"task":[215],"tends":[216],"also":[219,228],"one":[222],"second.":[225],"we":[227],"improvement":[232],"achieved":[233],"is":[237,249],"not":[238,256],"directly":[239],"correlated":[240],"with":[241],"performance.":[244],"most":[246],"likely":[247],"reason":[248],"errors":[252],"equally":[257],"but":[259],"depend":[260],"relative":[263],"salience":[264],"document":[271],"summarized.":[274]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
