{"id":"https://openalex.org/W3094429142","doi":"https://doi.org/10.5220/0010205901960203","title":"Interpreting Convolutional Networks Trained on Textual Data","display_name":"Interpreting Convolutional Networks Trained on Textual Data","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3094429142","doi":"https://doi.org/10.5220/0010205901960203","mag":"3094429142"},"language":"en","primary_location":{"id":"doi:10.5220/0010205901960203","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010205901960203","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0010205901960203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Reza Marzban","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Reza Marzban","raw_affiliation_strings":["Computer Science Department, Oklahoma State University, Stillwater, Oklahoma, U.S.A., --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Oklahoma State University, Stillwater, Oklahoma, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":null,"display_name":"Christopher Crick","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Crick","raw_affiliation_strings":["Computer Science Department, Oklahoma State University, Stillwater, Oklahoma, U.S.A., --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Oklahoma State University, Stillwater, Oklahoma, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67148922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5580999851226807},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5436000227928162},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3856000006198883},{"id":"https://openalex.org/keywords/logic-model","display_name":"Logic model","score":0.38119998574256897},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.37450000643730164},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739999890327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7317000031471252},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5616999864578247},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C2775940519","wikidata":"https://www.wikidata.org/wiki/Q17067742","display_name":"Logic model","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36570000648498535},{"id":"https://openalex.org/C77265313","wikidata":"https://www.wikidata.org/wiki/Q879844","display_name":"Rest (music)","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28600001335144043}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0010205901960203","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010205901960203","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.13585","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.13585","pdf_url":"https://arxiv.org/pdf/2010.13585","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.5220/0010205901960203","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010205901960203","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"There":[0,88],"have":[1,24],"been":[2,59,90],"many":[3],"advances":[4],"in":[5,49,93,133],"the":[6,12,33,113,117,125,129,142,150,157,161],"artificial":[7,21,65],"intelligence":[8],"field":[9],"due":[10],"to":[11,44,70,84,136,179,187],"emergence":[13],"of":[14,32,116],"deep":[15],"learning.":[16],"In":[17,54,100,124],"almost":[18],"all":[19],"sub-fields,":[20],"neural":[22],"networks":[23],"reached":[25],"or":[26],"exceeded":[27],"human-level":[28],"performance.":[29],"However,":[30],"most":[31,68,130,152],"models":[34,138,146],"are":[35],"not":[36],"interpretable.":[37],"As":[38],"a":[39,60,105],"result,":[40],"it":[41,79],"is":[42,80],"hard":[43],"trust":[45],"their":[46,184,188],"decisions,":[47],"especially":[48],"life":[50],"and":[51,111,140,191,198],"death":[52],"scenarios.":[53],"recent":[55],"years,":[56],"there":[57],"has":[58,72,89],"movement":[61],"toward":[62],"creating":[63],"explainable":[64],"intelligence,":[66],"but":[67],"work":[69,92],"date":[71],"concentrated":[73],"on":[74,108,148],"image":[75],"processing":[76],"models,":[77,182],"as":[78,160,174],"easier":[81],"for":[82],"humans":[83],"perceive":[85],"visual":[86],"patterns.":[87],"little":[91],"other":[94],"fields":[95],"like":[96],"natural":[97],"language":[98],"processing.":[99],"this":[101,175],"paper,":[102],"we":[103,127],"train":[104],"convolutional":[106],"model":[107,118,163],"textual":[109],"data":[110],"analyze":[112],"global":[114],"logic":[115,139],"by":[119,168,194],"studying":[120],"its":[121],"filter":[122],"values.":[123],"end,":[126],"find":[128],"important":[131,153],"words":[132,154],"our":[134,137],"corpus":[135],"remove":[141],"rest":[143],"(95%).":[144],"New":[145],"trained":[147],"just":[149],"5%":[151],"can":[155],"achieve":[156],"same":[158],"performance":[159],"original":[162],"while":[164],"reducing":[165],"training":[166],"time":[167],"more":[169],"than":[170],"half.":[171],"Approaches":[172],"such":[173],"will":[176],"help":[177],"us":[178],"understand":[180],"NLP":[181],"explain":[183],"decisions":[185],"according":[186],"word":[189],"choices,":[190],"improve":[192],"them":[193],"finding":[195],"blind":[196],"spots":[197],"biases.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-10-29T00:00:00"}
