{"id":"https://openalex.org/W3090789089","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206753","title":"Ontology-based Interpretable Machine Learning for Textual Data","display_name":"Ontology-based Interpretable Machine Learning for Textual Data","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090789089","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206753","mag":"3090789089"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5072833325","display_name":"Phung Lai","orcid":"https://orcid.org/0000-0001-9146-8546"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Phung Lai","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060481572","display_name":"NhatHai Phan","orcid":"https://orcid.org/0000-0002-1032-8275"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"NhatHai Phan","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102022511","display_name":"Han Hu","orcid":"https://orcid.org/0000-0002-2555-9236"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Hu","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067213712","display_name":"Anuja Badeti","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anuja Badeti","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088727983","display_name":"David Newman","orcid":"https://orcid.org/0000-0002-4959-2428"},"institutions":[{"id":"https://openalex.org/I166794780","display_name":"Wells Fargo (United States)","ror":"https://ror.org/037r2ff59","country_code":"US","type":"company","lineage":["https://openalex.org/I166794780"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Newman","raw_affiliation_strings":["Wells Fargo Bank, USA"],"affiliations":[{"raw_affiliation_string":"Wells Fargo Bank, USA","institution_ids":["https://openalex.org/I166794780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066063885","display_name":"Dejing Dou","orcid":"https://orcid.org/0000-0001-7561-1672"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dejing Dou","raw_affiliation_strings":["University of Oregon, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon, USA","institution_ids":["https://openalex.org/I181233156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072833325"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83752687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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":0.9941999912261963,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9815999865531921,"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":0.8000938296318054},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7240015268325806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6046494841575623},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5974278450012207},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5450454354286194},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4692065119743347},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45247238874435425},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45114821195602417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4511014521121979},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44706422090530396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07359614968299866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000938296318054},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7240015268325806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046494841575623},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5974278450012207},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5450454354286194},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4692065119743347},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45247238874435425},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45114821195602417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4511014521121979},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44706422090530396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07359614968299866},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W198744195","https://openalex.org/W387168707","https://openalex.org/W1489608363","https://openalex.org/W1493490255","https://openalex.org/W1520485300","https://openalex.org/W1522301498","https://openalex.org/W1787224781","https://openalex.org/W1959000896","https://openalex.org/W2064675550","https://openalex.org/W2101294067","https://openalex.org/W2113211233","https://openalex.org/W2123045220","https://openalex.org/W2127978399","https://openalex.org/W2129842875","https://openalex.org/W2161494021","https://openalex.org/W2167187514","https://openalex.org/W2282821441","https://openalex.org/W2515637793","https://openalex.org/W2553389628","https://openalex.org/W2560730294","https://openalex.org/W2561412020","https://openalex.org/W2605409611","https://openalex.org/W2606462007","https://openalex.org/W2612657834","https://openalex.org/W2788403449","https://openalex.org/W2803642672","https://openalex.org/W2905693758","https://openalex.org/W2950853372","https://openalex.org/W2952208655","https://openalex.org/W2962858109","https://openalex.org/W2962862931","https://openalex.org/W2963382180","https://openalex.org/W2964121744","https://openalex.org/W2991252005","https://openalex.org/W3101609372","https://openalex.org/W3123427206","https://openalex.org/W3125501814","https://openalex.org/W6608173096","https://openalex.org/W6629092883","https://openalex.org/W6629638141","https://openalex.org/W6631190155","https://openalex.org/W6641111440","https://openalex.org/W6675354311","https://openalex.org/W6677995690","https://openalex.org/W6679243379","https://openalex.org/W6683761811","https://openalex.org/W6684350123","https://openalex.org/W6730032367","https://openalex.org/W6736518430","https://openalex.org/W6737947904","https://openalex.org/W6757757916","https://openalex.org/W6761118744","https://openalex.org/W6764037367"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2362192218","https://openalex.org/W180507639","https://openalex.org/W2773694660","https://openalex.org/W2435130738","https://openalex.org/W4225162041","https://openalex.org/W2326719560","https://openalex.org/W2777514883","https://openalex.org/W2463433017","https://openalex.org/W2148560653"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,64],"introduce":[4],"a":[5,55,66],"novel":[6],"interpreting":[7],"framework":[8],"that":[9,103],"learns":[10],"an":[11,16],"interpretable":[12,85],"model":[13],"based":[14],"on":[15,98],"ontology-based":[17],"sampling":[18],"technique":[19],"to":[20,41,70,89],"explain":[21],"agnostic":[22],"prediction":[23],"models.":[24],"Different":[25],"from":[26],"existing":[27],"approaches,":[28],"our":[29,104],"algorithm":[30],"considers":[31],"contextual":[32],"correlation":[33],"among":[34],"words,":[35],"described":[36],"in":[37],"domain":[38],"knowledge":[39],"ontologies,":[40],"generate":[42,90],"semantic":[43,92],"explanations.":[44,93],"To":[45],"narrow":[46],"down":[47],"the":[48],"search":[49],"space":[50],"for":[51],"explanations,":[52],"which":[53],"is":[54,79],"major":[56],"problem":[57],"of":[58,77],"long":[59],"and":[60,109],"complicated":[61],"text":[62],"data,":[63],"design":[65],"learnable":[67],"anchor":[68],"algorithm,":[69],"better":[71],"extract":[72],"explanations":[73,111],"locally.":[74],"A":[75],"set":[76],"regulations":[78],"further":[80],"introduced,":[81],"regarding":[82],"combining":[83],"learned":[84],"representations":[86],"with":[87,113],"anchors":[88],"comprehensible":[91],"An":[94],"extensive":[95],"experiment":[96],"conducted":[97],"two":[99],"real-world":[100],"datasets":[101],"shows":[102],"approach":[105],"generates":[106],"more":[107],"precise":[108],"insightful":[110],"compared":[112],"baseline":[114],"approaches.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
