{"id":"https://openalex.org/W2910094549","doi":"https://doi.org/10.1145/3297156.3297261","title":"Intelligent Question Answering Model Based on CN-BiLSTM","display_name":"Intelligent Question Answering Model Based on CN-BiLSTM","publication_year":2018,"publication_date":"2018-12-08","ids":{"openalex":"https://openalex.org/W2910094549","doi":"https://doi.org/10.1145/3297156.3297261","mag":"2910094549"},"language":"en","primary_location":{"id":"doi:10.1145/3297156.3297261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297261","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","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/A5000406335","display_name":"Chengfei Li","orcid":"https://orcid.org/0000-0002-1356-7466"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengfei Li","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418864","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-8929-4871"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688754","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0002-1641-5804"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000406335"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.077,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47055288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"447","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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":0.9987000226974487,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9911999702453613,"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":0.9818999767303467,"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/computer-science","display_name":"Computer science","score":0.8162380456924438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6953341960906982},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.6908642649650574},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6329101324081421},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5718203186988831},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5716797113418579},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5581358075141907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5425013899803162},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5276764035224915},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5210687518119812},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.476284921169281},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.42678070068359375},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.42162948846817017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4142723083496094},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3092188239097595},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08260884881019592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162380456924438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6953341960906982},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6908642649650574},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6329101324081421},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5718203186988831},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5716797113418579},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5581358075141907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5425013899803162},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5276764035224915},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5210687518119812},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.476284921169281},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.42678070068359375},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.42162948846817017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4142723083496094},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3092188239097595},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08260884881019592},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3297156.3297261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297261","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/282031","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/282031","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/402191","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/402191","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference article (CA)"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/277257","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/277257","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/286092","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/286092","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2062118960","https://openalex.org/W2104210067","https://openalex.org/W2112796928","https://openalex.org/W2115791615","https://openalex.org/W2160815625","https://openalex.org/W2194775991","https://openalex.org/W2251654079","https://openalex.org/W2462891382","https://openalex.org/W2507373853","https://openalex.org/W2585851266","https://openalex.org/W2963672682","https://openalex.org/W4301045096"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2782041652","https://openalex.org/W2612657834","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W2392157706","https://openalex.org/W2787518671","https://openalex.org/W2944541365"],"abstract_inverted_index":{"In":[0,19],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,28],"new":[6],"type":[7],"of":[8,56,76,83,141],"intelligent":[9,58],"question":[10,59],"answering":[11,60],"system":[12],"model":[13,26,63,108,129],"based":[14],"on":[15,48,85,109],"deep":[16,90],"neural":[17,66,119,122,126],"network.":[18],"the":[20,25,49,57,86,107,115,132,136,142],"data":[21,45,51,55,96,101],"stream":[22],"processing":[23],"stage,":[24],"proposes":[27],"multi-channel":[29],"information":[30,75,82],"combination":[31],"framework,":[32],"which":[33],"performs":[34],"operations":[35],"such":[36,99],"as":[37,100],"word":[38],"embedding,":[39],"dot":[40],"product,":[41],"summation,":[42],"splicing,":[43],"and":[44,52,68,78,88,103,105,124,138],"layer":[46],"transmission":[47],"background":[50],"user":[53],"problem":[54],"system.":[61],"The":[62,93],"uses":[64],"convolutional":[65,121],"networks":[67,71],"bidirectional":[69],"LSTM":[70],"to":[72],"learn":[73],"local":[74],"words":[77],"capture":[79],"long-term":[80],"dependency":[81],"contexts":[84],"Tensorflow":[87],"Keras":[89],"learning":[91],"framework.":[92],"experiment":[94],"used":[95],"optimization":[97],"techniques":[98],"normalization":[102],"dropout,":[104],"tested":[106],"bAbi":[110],"dataset.":[111,144],"By":[112],"comparing":[113],"with":[114],"traditional":[116],"fully":[117],"connected":[118],"network,":[120,127],"network":[123],"recurrent":[125],"our":[128],"has":[130],"achieved":[131],"best":[133],"results":[134],"in":[135],"accuracy":[137],"time":[139],"performance":[140],"test":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
