{"id":"https://openalex.org/W2395032134","doi":null,"title":"Bluima: a UIMA-based NLP Toolkit for Neuroscience.","display_name":"Bluima: a UIMA-based NLP Toolkit for Neuroscience.","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2395032134","mag":"2395032134"},"language":"en","primary_location":{"id":"mag:2395032134","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1038/paper_7.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073489376","display_name":"Renaud Richardet","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Renaud Richardet","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne,","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039992253","display_name":"Jean-C\u00e9dric Chappelier","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-C\u00e9dric Chappelier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077213921","display_name":"Martin Telefont","orcid":"https://orcid.org/0000-0002-7537-6251","observed_orcids":["https://orcid.org/0000-0002-7537-6251"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Telefont","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7537-6251","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5218,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63098135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.0015999999595806003,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.00019999999494757503,"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/uima","display_name":"UIMA","score":0.8289999961853027},{"id":"https://openalex.org/keywords/natural-language-processing-pipeline","display_name":"natural language processing pipeline","score":0.7639999985694885},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.9610000252723694},{"id":"https://openalex.org/keywords/mongodb","display_name":"MongoDB","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287714719772339},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7659593820571899},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7454922795295715},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6955509185791016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6367182731628418},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6140638589859009},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5033175349235535},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.4289810061454773},{"id":"https://openalex.org/C205427263","wikidata":"https://www.wikidata.org/wiki/Q1931480","display_name":"Neuroinformatics","level":2,"score":0.42306947708129883},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.20594003796577454},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.16586488485336304},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15868180990219116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2395032134","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1038/paper_7.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W161474860","https://openalex.org/W1754668934","https://openalex.org/W1757909678","https://openalex.org/W1883744688","https://openalex.org/W1977011841","https://openalex.org/W2004884668","https://openalex.org/W2054558802","https://openalex.org/W2056569219","https://openalex.org/W2061231608","https://openalex.org/W2065963191","https://openalex.org/W2099701465","https://openalex.org/W2100627415","https://openalex.org/W2101727078","https://openalex.org/W2107005506","https://openalex.org/W2108345035","https://openalex.org/W2117539911","https://openalex.org/W2122496897","https://openalex.org/W2134967412","https://openalex.org/W2139609609","https://openalex.org/W2146089916","https://openalex.org/W2159941448","https://openalex.org/W2161062388","https://openalex.org/W2161132397","https://openalex.org/W2163107094","https://openalex.org/W2165671627","https://openalex.org/W2401413610","https://openalex.org/W2465309725","https://openalex.org/W2804841477"],"related_works":["https://openalex.org/W7096768140","https://openalex.org/W2324533577","https://openalex.org/W7098218229","https://openalex.org/W2189570125","https://openalex.org/W2786925977","https://openalex.org/W4235781232","https://openalex.org/W7197358939","https://openalex.org/W7097591100","https://openalex.org/W7045600206","https://openalex.org/W7095989133"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"Bluima,":[3],"a":[4,77,94],"natural":[5],"language":[6],"processing":[7],"(NLP)":[8],"pipeline":[9],"focusing":[10],"on":[11,19,101],"the":[12,20,68],"extraction":[13],"of":[14,107],"neuroscientific":[15,60],"content":[16],"and":[17,34,40,55,72,86],"based":[18,100],"UIMA":[21,64,74,88],"framework.":[22],"Bluima":[23],"builds":[24],"upon":[25],"models":[26,39],"from":[27],"biomedical":[28],"NLP":[29],"(BioNLP)":[30],"like":[31],"specialized":[32],"tokenizers":[33],"lemmatizers.":[35],"It":[36],"adds":[37],"further":[38],"tools":[41],"specific":[42],"to":[43,84,103],"neuroscience":[44],"(e.g.":[45],"named":[46],"entity":[47],"recognizer":[48],"for":[49,59],"neuron":[50],"or":[51],"brain":[52],"region":[53],"mentions)":[54],"provides":[56],"collection":[57],"readers":[58],"corpora.":[61,110],"Two":[62],"novel":[63],"components":[65],"are":[66],"proposed:":[67],"first":[69],"allows":[70],"configuring":[71],"instantiating":[73],"pipelines":[75],"using":[76],"simple":[78],"scripting":[79],"language,":[80],"enabling":[81],"non-UIMA":[82],"experts":[83],"design":[85],"run":[87],"pipelines.":[89],"The":[90],"second":[91],"component":[92],"is":[93],"common":[95],"analysis":[96],"structure":[97],"(CAS)":[98],"store":[99],"MongoDB,":[102],"perform":[104],"incremental":[105],"annotation":[106],"large":[108],"document":[109]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
