{"id":"https://openalex.org/W2970988725","doi":"https://doi.org/10.18653/v1/w19-5018","title":"Incorporating Figure Captions and Descriptive Text in MeSH Term Indexing","display_name":"Incorporating Figure Captions and Descriptive Text in MeSH Term Indexing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970988725","doi":"https://doi.org/10.18653/v1/w19-5018","mag":"2970988725"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-5018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5018","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th BioNLP Workshop and Shared Task","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/w19-5018","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100781427","display_name":"Xindi Wang","orcid":"https://orcid.org/0000-0002-6548-3547"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xindi Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056001196","display_name":"Robert E. Mercer","orcid":"https://orcid.org/0000-0002-0080-715X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert E. Mercer","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100781427"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56651567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9979000091552734,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9976000189781189,"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":0.8239681124687195},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8193143606185913},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.687411367893219},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6671645641326904},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6347155570983887},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5510155558586121},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4927270710468292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4879757761955261},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4786571264266968},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44036513566970825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17249545454978943},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0820838212966919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239681124687195},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8193143606185913},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.687411367893219},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6671645641326904},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6347155570983887},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5510155558586121},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4927270710468292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4879757761955261},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4786571264266968},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44036513566970825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17249545454978943},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0820838212966919},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-5018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5018","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th BioNLP Workshop and Shared Task","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-5018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5018","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th BioNLP Workshop and Shared Task","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6100000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W74342042","https://openalex.org/W1832693441","https://openalex.org/W1996211074","https://openalex.org/W2057803903","https://openalex.org/W2061172803","https://openalex.org/W2114315281","https://openalex.org/W2122402213","https://openalex.org/W2129144539","https://openalex.org/W2131774270","https://openalex.org/W2142955026","https://openalex.org/W2156005162","https://openalex.org/W2160171761","https://openalex.org/W2398645150","https://openalex.org/W2415204236","https://openalex.org/W2428528690","https://openalex.org/W2739996966","https://openalex.org/W2790634708","https://openalex.org/W2954433047","https://openalex.org/W3122990092"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2048865712","https://openalex.org/W1976265003","https://openalex.org/W2370378377","https://openalex.org/W4237510188","https://openalex.org/W2130160813","https://openalex.org/W2054476758","https://openalex.org/W2350613701","https://openalex.org/W2130597667"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,21,55,101],"text":[3,57,88,103,109],"classification":[4,34],"is":[5,118],"to":[6,10],"automatically":[7,14],"assign":[8],"categories":[9],"documents.":[11],"Deep":[12],"learning":[13,38],"learns":[15],"effective":[16],"features":[17],"from":[18,58,106],"data":[19],"instead":[20],"adopting":[22],"human-designed":[23],"features.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,66],"focus":[29],"specifically":[30],"on":[31],"biomedical":[32],"document":[33],"using":[35],"a":[36,42],"deep":[37],"approach.":[39],"We":[40,83],"present":[41],"novel":[43],"multichannel":[44],"TextCNN":[45],"model":[46,64],"for":[47,63,94],"MeSH":[48,116],"term":[49],"indexing.":[50],"Beyond":[51],"the":[52,56,59,79,113],"normal":[53],"use":[54],"abstract":[60],"and":[61,70,81],"title":[62],"training,":[65],"also":[67],"consider":[68],"figure":[69],"table":[71],"captions,":[72],"as":[73,75],"well":[74],"paragraphs":[76],"associated":[77],"with":[78,112],"figures":[80],"tables.":[82],"demonstrate":[84],"that":[85],"these":[86,102],"latter":[87],"sources":[89,93],"are":[90],"important":[91],"feature":[92],"our":[95],"method.":[96],"A":[97],"new":[98],"dataset":[99],"consisting":[100],"segments":[104],"curated":[105],"257,590":[107],"full":[108],"articles":[110],"together":[111],"articles\u2019":[114],"MEDLINE/PubMed":[115],"terms":[117],"publicly":[119],"available.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}