{"id":"https://openalex.org/W2741989495","doi":"https://doi.org/10.24963/ijcai.2017/311","title":"End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification","display_name":"End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741989495","doi":"https://doi.org/10.24963/ijcai.2017/311","mag":"2741989495"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/311","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/311","pdf_url":"https://www.ijcai.org/proceedings/2017/0311.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0311.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071152915","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0003-3859-2630"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong","Department of Computer Science and Engineering, Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433691","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-1100-4835"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong","Department of Computer Science and Engineering, Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011883201","display_name":"Ying Wei","orcid":"https://orcid.org/0000-0003-1662-4443"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ying Wei","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong","Department of Computer Science and Engineering, Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011141204","display_name":"Yuxiang Wu","orcid":"https://orcid.org/0000-0002-1156-6718"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuxiang Wu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong","Department of Computer Science and Engineering, Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong","Department of Computer Science and Engineering, Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":19.8065,"has_fulltext":false,"cited_by_count":225,"citation_normalized_percentile":{"value":0.99475728,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2237","last_page":"2243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9997000098228455,"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":0.9933000206947327,"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":0.8405182361602783},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.738470733165741},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7364620566368103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7097408771514893},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.683133602142334},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6217281818389893},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5791653990745544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.557371973991394},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5414038896560669},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5229792594909668},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.49108386039733887},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4824588894844055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3363242447376251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8405182361602783},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.738470733165741},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7364620566368103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7097408771514893},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.683133602142334},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6217281818389893},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5791653990745544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.557371973991394},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5414038896560669},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5229792594909668},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.49108386039733887},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4824588894844055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3363242447376251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2017/311","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/311","pdf_url":"https://www.ijcai.org/proceedings/2017/0311.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-84993","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1045-0823&rft.volume=&rft.issue=&rft.date=2017&rft.spage=2237&rft.aulast=Li&rft.aufirst=Z.&rft.atitle=End-to-End%20Adversarial%20Memory%20Network%20for%20Cross-domain%20Sentiment%20Classification&rft.title=26th%20International%20Joint%20Conference%20on%20Artificial%20Intelligence%20(IJCAI%202017)%2C%20Melbourne%2C%20Australia","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/311","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/311","pdf_url":"https://www.ijcai.org/proceedings/2017/0311.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1828425977","display_name":null,"funder_award_id":"973 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3489614713","display_name":null,"funder_award_id":"61673202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4091203202","display_name":null,"funder_award_id":"2014CB340304","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741989495.pdf","grobid_xml":"https://content.openalex.org/works/W2741989495.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W181016146","https://openalex.org/W319996907","https://openalex.org/W1731081199","https://openalex.org/W1832693441","https://openalex.org/W1882958252","https://openalex.org/W2096873754","https://openalex.org/W2108646579","https://openalex.org/W2153353890","https://openalex.org/W2154359981","https://openalex.org/W2158108973","https://openalex.org/W2163302275","https://openalex.org/W2251939518","https://openalex.org/W2269911130","https://openalex.org/W2470673105","https://openalex.org/W2949821452","https://openalex.org/W2950133940","https://openalex.org/W2951008357","https://openalex.org/W2963168371","https://openalex.org/W4294170691","https://openalex.org/W4385414156"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1],"tasks":[2],"such":[3],"as":[4],"cross-domain":[5,95],"sentiment":[6,21,96,123,145],"classification":[7,124,146],"have":[8,62],"raised":[9],"much":[10],"attention":[11,110],"in":[12,24,48,55],"recent":[13],"years.":[14],"Due":[15],"to":[16,35,42,65,77],"the":[17,49,75,80,84,106,126,140,144,150,154,159,162,179,192],"domain":[18,27,130,155],"discrepancy,":[19],"a":[20,25,36,67,185],"classifier":[22,156],"trained":[23,137],"source":[26,163],"may":[28],"not":[29],"work":[30],"well":[31],"when":[32],"directly":[33,78],"applied":[34],"target":[37,165],"domain.":[38],"Traditional":[39],"methods":[40,61,171],"need":[41],"manually":[43],"select":[44],"pivots,":[45,180],"which":[46,176],"behave":[47],"same":[50,151],"way":[51],"for":[52,94,122,129],"discriminative":[53],"learning":[54,60,170],"both":[56],"domains.":[57,71,166],"Recently,":[58],"deep":[59,169],"been":[63],"proposed":[64],"learn":[66],"representation":[68],"shared":[69],"by":[70],"However,":[72],"they":[73],"lack":[74],"interpretability":[76],"identify":[79],"pivots.":[81],"To":[82],"address":[83],"problem,":[85],"we":[86],"introduce":[87],"an":[88,109],"end-to-end":[89],"Adversarial":[90],"Memory":[91],"Network":[92],"(AMN)":[93],"classification.":[97,131],"Unlike":[98],"existing":[99],"methods,":[100],"our":[101,181,198],"approach":[102,182,199],"can":[103,183,200],"automatically":[104],"capture":[105],"pivots":[107],"using":[108],"mechanism.":[111],"Our":[112],"framework":[113],"consists":[114],"of":[115,188],"two":[116,133],"parameter-shared":[117],"memory":[118],"networks:":[119],"one":[120],"is":[121,128],"and":[125,148],"other":[127],"The":[132],"networks":[134],"are":[135,178],"jointly":[136],"so":[138],"that":[139,172,197],"selected":[141],"features":[142],"minimize":[143],"error":[147],"at":[149],"time":[152],"make":[153],"indiscriminative":[157],"between":[158],"representations":[160],"from":[161],"or":[164],"Moreover,":[167],"unlike":[168],"cannot":[173],"tell":[174],"us":[175],"words":[177],"offer":[184],"direct":[186],"visualization":[187],"them.":[189],"Experiments":[190],"on":[191],"Amazon":[193],"review":[194],"dataset":[195],"demonstrate":[196],"significantly":[201],"outperform":[202],"state-of-the-art":[203],"methods.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":84},{"year":2019,"cited_by_count":40},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
