{"id":"https://openalex.org/W3025721698","doi":"https://doi.org/10.3233/978-1-61499-830-3-521","title":"Scholarly Information Extraction Is Going to Make a Quantum Leap with PubMed Central (PMC)","display_name":"Scholarly Information Extraction Is Going to Make a Quantum Leap with PubMed Central (PMC)","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W3025721698","doi":"https://doi.org/10.3233/978-1-61499-830-3-521","mag":"3025721698","pmid":"https://pubmed.ncbi.nlm.nih.gov/29295149"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-830-3-521","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-830-3-521","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084042518","display_name":"Franz Matthies","orcid":"https://orcid.org/0000-0001-7196-506X"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthies Franz","raw_affiliation_strings":["Jena University Language & Information Engineering (JULIE) Lab, Friedrich-Schiller-Universit\u00e4t Jena, Jena 07743, Germany"],"affiliations":[{"raw_affiliation_string":"Jena University Language & Information Engineering (JULIE) Lab, Friedrich-Schiller-Universit\u00e4t Jena, Jena 07743, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044841280","display_name":"Udo Hahn","orcid":"https://orcid.org/0000-0002-5052-0245"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hahn Udo","raw_affiliation_strings":["Jena University Language & Information Engineering (JULIE) Lab, Friedrich-Schiller-Universit\u00e4t Jena, Jena 07743, Germany"],"affiliations":[{"raw_affiliation_string":"Jena University Language & Information Engineering (JULIE) Lab, Friedrich-Schiller-Universit\u00e4t Jena, Jena 07743, Germany","institution_ids":["https://openalex.org/I76198965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084042518"],"corresponding_institution_ids":["https://openalex.org/I76198965"],"apc_list":null,"apc_paid":null,"fwci":0.8886,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77373623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"245","issue":null,"first_page":"521","last_page":"525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9987000226974487,"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":0.9987000226974487,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9851999878883362,"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/T10028","display_name":"Topic Modeling","score":0.9839000105857849,"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":0.8196860551834106},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.7440118789672852},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6816071271896362},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5750432014465332},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.5477941036224365},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.540371298789978},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5377419590950012},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4820314645767212},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.47388002276420593},{"id":"https://openalex.org/keywords/text-messaging","display_name":"Text messaging","score":0.47385504841804504},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.4028059244155884},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2998659014701843},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.28063851594924927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8196860551834106},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7440118789672852},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6816071271896362},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5750432014465332},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.5477941036224365},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.540371298789978},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5377419590950012},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4820314645767212},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.47388002276420593},{"id":"https://openalex.org/C3018949938","wikidata":"https://www.wikidata.org/wiki/Q17166101","display_name":"Text messaging","level":2,"score":0.47385504841804504},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.4028059244155884},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2998659014701843},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28063851594924927},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","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":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-830-3-521","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-830-3-521","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29295149","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29295149","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2064314529","https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4236762297","https://openalex.org/W4379379356","https://openalex.org/W1663435917","https://openalex.org/W1496929818"],"abstract_inverted_index":{"With":[0],"the":[1,61,107,127,140],"increasing":[2],"availability":[3],"of":[4,41,63,79,109,122,130],"complete":[5],"full":[6,67],"texts":[7],"(journal":[8],"articles),":[9],"rather":[10],"than":[11,66],"their":[12],"surrogates":[13],"(titles,":[14],"abstracts),":[15],"as":[16],"resources":[17,133],"for":[18,25,45,143],"text":[19,29,50],"analytics,":[20],"entirely":[21],"new":[22],"opportunities":[23],"arise":[24],"information":[26],"extraction":[27,76],"and":[28],"mining":[30],"from":[31],"scholarly":[32],"publications.":[33],"Yet,":[34],"we":[35],"gathered":[36],"evidence":[37],"that":[38,92],"a":[39,115],"range":[40],"problems":[42],"are":[43],"encountered":[44],"full-text":[46,104,116,132],"processing":[47],"when":[48,101],"biomedical":[49],"analytics":[51],"simply":[52],"reuse":[53,108],"existing":[54,110],"NLP":[55,112],"pipelines":[56],"which":[57,80],"were":[58,81],"developed":[59],"on":[60,103],"basis":[62],"abstracts":[64],"(rather":[65],"texts).":[68],"We":[69,90],"conducted":[70],"experiments":[71],"with":[72],"four":[73],"different":[74],"relation":[75],"engines":[77,94],"all":[78],"top":[82],"performers":[83],"in":[84,114],"previous":[85],"BioNLP":[86],"Event":[87],"Extraction":[88],"Challenges.":[89],"found":[91],"abstract-trained":[93],"loose":[95],"up":[96],"to":[97,134],"6.6%":[98],"F-score":[99],"points":[100],"run":[102],"data.":[105],"Hence,":[106],"abstract-based":[111],"software":[113],"scenario":[117],"is":[118],"considered":[119],"harmful":[120],"because":[121],"heavy":[123],"performance":[124],"losses.":[125],"Given":[126],"current":[128],"lack":[129],"annotated":[131],"train":[135],"on,":[136],"our":[137],"study":[138],"quantifies":[139],"price":[141],"paid":[142],"this":[144],"short":[145],"cut.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}