{"id":"https://openalex.org/W2739835834","doi":"https://doi.org/10.18653/v1/w17-2326","title":"Identifying Comparative Structures in Biomedical Text","display_name":"Identifying Comparative Structures in Biomedical Text","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2739835834","doi":"https://doi.org/10.18653/v1/w17-2326","mag":"2739835834"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2326","pdf_url":"https://www.aclweb.org/anthology/W17-2326.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/W17-2326.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080648304","display_name":"Samir Gupta","orcid":"https://orcid.org/0000-0003-2656-3912"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Samir Gupta","raw_affiliation_strings":["Department of Computer & Information Sciences"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026536625","display_name":"A. S. M. Ashique Mahmood","orcid":"https://orcid.org/0000-0002-8196-9264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.S.M. Ashique Mahmood","raw_affiliation_strings":["Department of Computer & Information Sciences"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010355751","display_name":"Karen Ross","orcid":"https://orcid.org/0000-0003-4633-6055"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]},{"id":"https://openalex.org/I2799903593","display_name":"Georgetown University Medical Center","ror":"https://ror.org/00hjz7x27","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799903593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Ross","raw_affiliation_strings":["Department of Biochemistry and Molecular & Cellular Biology Georgetown University Medical Center, Washington, DC"],"affiliations":[{"raw_affiliation_string":"Department of Biochemistry and Molecular & Cellular Biology Georgetown University Medical Center, Washington, DC","institution_ids":["https://openalex.org/I184565670","https://openalex.org/I2799903593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053761444","display_name":"Cathy Wu","orcid":"https://orcid.org/0000-0001-6379-8601"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cathy Wu","raw_affiliation_strings":["Center for Bioinformatics and Computational Biology University of Delaware, Newark, DE","Department of Computer & Information Sciences"],"affiliations":[{"raw_affiliation_string":"Center for Bioinformatics and Computational Biology University of Delaware, Newark, DE","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Computer & Information Sciences","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027009667","display_name":"K. Vijay\u2010Shanker","orcid":"https://orcid.org/0000-0003-0958-3073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Vijay-Shanker","raw_affiliation_strings":["Department of Computer & Information Sciences"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080648304"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.12,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":20,"citation_normalized_percentile":{"value":0.618236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"215"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9996,"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":0.9996,"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":0.9991,"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":0.9986,"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/identification","display_name":"Identification","score":0.57260656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81227416},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.72390324},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.668556},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6343447},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.57260656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53880453},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41701043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.071226984},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2326","pdf_url":"https://www.aclweb.org/anthology/W17-2326.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2326","pdf_url":"https://www.aclweb.org/anthology/W17-2326.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.75,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W11822760","https://openalex.org/W122290181","https://openalex.org/W147952312","https://openalex.org/W1490379749","https://openalex.org/W1535015163","https://openalex.org/W1962622193","https://openalex.org/W1988931981","https://openalex.org/W2021366071","https://openalex.org/W2085750684","https://openalex.org/W2090276733","https://openalex.org/W2098201295","https://openalex.org/W2107221241","https://openalex.org/W2123442489","https://openalex.org/W2146292498","https://openalex.org/W2158422905","https://openalex.org/W2162311237","https://openalex.org/W2164770916","https://openalex.org/W286875401","https://openalex.org/W4285719527","https://openalex.org/W70697894"],"related_works":["https://openalex.org/W6643695","https://openalex.org/W579810227","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2979495269","https://openalex.org/W2952780262","https://openalex.org/W2392917763","https://openalex.org/W2375873920","https://openalex.org/W2173794830","https://openalex.org/W2083429127"],"abstract_inverted_index":{"Comparison":[0],"sentences":[1,39],"are":[2,59],"very":[3],"commonly":[4],"used":[5],"by":[6,69],"authors":[7,19],"in":[8,88],"biomedical":[9],"literature":[10],"to":[11,34,73],"report":[12],"results":[13],"of":[14,49,78,99],"experiments.":[15],"In":[16,27],"such":[17,37],"comparisons,":[18],"typically":[20],"make":[21],"observations":[22],"under":[23],"two":[24],"different":[25],"scenarios.":[26],"this":[28],"paper,":[29],"we":[30],"present":[31],"a":[32,71,75,97],"system":[33,84,95],"automatically":[35],"identify":[36],"comparative":[38],"and":[40,52,91,105],"their":[41,92],"components":[42],"i.e.":[43],"the":[44,47,50,53,57],"compared":[45],"entities,":[46],"scale":[48],"comparison":[51,79,102],"aspect":[54],"on":[55,66],"which":[56],"entities":[58],"being":[60],"compared.":[61],"Our":[62],"methodology":[63],"is":[64],"based":[65],"dependencies":[67],"obtained":[68],"applying":[70],"parser":[72],"extract":[74],"wide":[76],"range":[77],"structures.":[80],"We":[81],"evaluated":[82],"our":[83],"for":[85,101,107],"its":[86,109],"effectiveness":[87],"identifying":[89,108],"comparisons":[90],"components.":[93,110],"The":[94],"achieved":[96],"F-score":[98],"0.87":[100],"sentence":[103],"identification":[104],"0.77-0.81":[106]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2739835834","counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2024-12-13T19:45:31.857365","created_date":"2017-08-08"}