{"id":"https://openalex.org/W4293146223","doi":"https://doi.org/10.1109/access.2022.3187019","title":"MAI-CBert: Multidirectional Attention Interaction Construction-Bert Sentiment Sentence Representation","display_name":"MAI-CBert: Multidirectional Attention Interaction Construction-Bert Sentiment Sentence Representation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293146223","doi":"https://doi.org/10.1109/access.2022.3187019"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3187019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3187019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09810295.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09810295.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013061483","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0002-6474-9921"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Chen","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006421021","display_name":"Weiming Peng","orcid":"https://orcid.org/0000-0002-2624-2812"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Peng","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101526655","display_name":"Jihua Song","orcid":"https://orcid.org/0000-0003-2648-4712"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Song","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013061483"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09124118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"70295","last_page":"70304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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":0.9988999962806702,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9948999881744385,"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/T12488","display_name":"Mental Health via Writing","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8492990136146545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8243132829666138},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6723541617393494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6265703439712524},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5730240345001221},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5584403276443481},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4362345337867737},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4258188009262085}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8492990136146545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243132829666138},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6723541617393494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6265703439712524},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5730240345001221},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5584403276443481},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4362345337867737},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4258188009262085},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3187019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3187019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09810295.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:530adf3dca964e9f8a27b5c4d016911e","is_oa":true,"landing_page_url":"https://doaj.org/article/530adf3dca964e9f8a27b5c4d016911e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 70295-70304 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3187019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3187019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09810295.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1938723125","display_name":null,"funder_award_id":"61877004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7578619604","display_name":null,"funder_award_id":"62007004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293146223.pdf","grobid_xml":"https://content.openalex.org/works/W4293146223.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2250539671","https://openalex.org/W2493916176","https://openalex.org/W2802835792","https://openalex.org/W2828845773","https://openalex.org/W2896457183","https://openalex.org/W2907241994","https://openalex.org/W2963502184","https://openalex.org/W2964025273","https://openalex.org/W2964189376","https://openalex.org/W2970641574","https://openalex.org/W3005282503","https://openalex.org/W3038102445","https://openalex.org/W3093871477","https://openalex.org/W3128596500","https://openalex.org/W3129548754","https://openalex.org/W3133633832","https://openalex.org/W3159622706","https://openalex.org/W3161436300","https://openalex.org/W3162462834","https://openalex.org/W3171530662","https://openalex.org/W3173188814","https://openalex.org/W3176047188","https://openalex.org/W3182007514","https://openalex.org/W3183138634","https://openalex.org/W4226086464","https://openalex.org/W6636510571","https://openalex.org/W6741314120","https://openalex.org/W6753507521","https://openalex.org/W6755207826","https://openalex.org/W6784447870","https://openalex.org/W6794658531","https://openalex.org/W6798625985"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2360644719","https://openalex.org/W2385471969"],"abstract_inverted_index":{"Considering":[0],"that":[1,139,181],"when":[2],"the":[3,10,31,40,61,68,77,84,87,123,131,140,154,161,165,174,182],"traditional":[4],"network":[5],"structure":[6],"is":[7,127,157,187],"connected":[8],"with":[9,113],"pre-trained":[11],"language":[12],"model":[13,62,166],"for":[14],"sentence":[15,26,43,151,184],"embedding":[16],"representation,":[17],"it":[18,90],"relies":[19],"on":[20,111,173],"simple":[21],"word":[22,81],"weights":[23,82],"to":[24,66,72,96,109,129,159,167],"generate":[25],"vectors,":[27,107],"which":[28,99],"easily":[29],"ignores":[30],"global":[32],"and":[33,93,118,176,189],"contextual":[34],"semantic":[35],"details":[36],"of":[37,42,80,164],"sentences,":[38],"reducing":[39],"accuracy":[41],"representation.":[44],"To":[45],"address":[46],"these":[47],"issues,":[48],"we":[49],"develop":[50],"a":[51,144],"Multidirectional":[52],"Attention":[53],"Interaction":[54],"Construction-Bert":[55],"Sentence":[56],"Representation":[57],"Framework":[58],"(MAI-CBert).":[59],"First,":[60],"uses":[63],"deep":[64],"attention":[65,95,134],"transform":[67],"input":[69],"emotional":[70,97],"sentences":[71,117],"reduce":[73],"misunderstanding":[74],"caused":[75],"by":[76],"unbalanced":[78],"distribution":[79],"in":[83,116,135,148],"sentences;":[85],"at":[86],"same":[88],"time,":[89],"applies":[91],"horizontal":[92],"vertical":[94],"constructions,":[98],"are":[100],"generated":[101],"from":[102],"two":[103],"different":[104,136],"directions.":[105],"Construction":[106],"aim":[108],"focus":[110],"words":[112],"salient":[114],"features":[115],"establish":[119],"close":[120],"dependencies.":[121],"Second,":[122],"dynamic":[124],"interaction":[125,132],"strategy":[126],"adopted":[128],"realize":[130],"between":[133],"directions,":[137],"so":[138],"information":[141],"flow":[142],"forms":[143],"complementary":[145],"relationship,":[146],"resulting":[147],"more":[149],"effective":[150],"vectors.":[152],"Notably,":[153],"loss":[155],"function":[156],"refactored":[158],"improve":[160],"representation":[162,185],"robustness":[163],"avoid":[168],"catastrophic":[169],"forgetting.":[170],"Experimental":[171],"results":[172],"SemEval-14":[175],"ACL-14":[177],"baseline":[178],"datasets":[179],"demonstrate":[180],"MAI-CBert":[183],"framework":[186],"robust":[188],"competitive.":[190]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}