{"id":"https://openalex.org/W4400528812","doi":"https://doi.org/10.1145/3626772.3657734","title":"Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction","display_name":"Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400528812","doi":"https://doi.org/10.1145/3626772.3657734"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657734","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5071937660","display_name":"You Li","orcid":"https://orcid.org/0000-0002-9182-9783"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"You Li","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-9182-9783","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325789","display_name":"Xupeng Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xupeng Zeng","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0000-6312-2986","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yixiao Zeng","orcid":"https://orcid.org/0009-0007-3142-3670"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiao Zeng","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":"https://orcid.org/0009-0007-3142-3670","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007601689","display_name":"Yuming Lin","orcid":"https://orcid.org/0000-0001-6850-5222"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Lin","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6850-5222","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071937660"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":1.9868,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88128607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"619","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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":0.998199999332428,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/extraction","display_name":"Extraction (chemistry)","score":0.6491345167160034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6151420474052429},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5181832909584045},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37504348158836365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3541003465652466},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3452238440513611},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13924840092658997},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08860579133033752}],"concepts":[{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6491345167160034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6151420474052429},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5181832909584045},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37504348158836365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3541003465652466},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3452238440513611},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13924840092658997},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08860579133033752}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657734","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4134606217","display_name":null,"funder_award_id":"2018GXNSFDA281049","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G5993535747","display_name":null,"funder_award_id":"62362015;62062027;U22A2099","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2049434052","https://openalex.org/W2250981850","https://openalex.org/W2251091211","https://openalex.org/W2427312199","https://openalex.org/W2483327705","https://openalex.org/W2604205681","https://openalex.org/W2758755084","https://openalex.org/W2946015932","https://openalex.org/W2950601686","https://openalex.org/W2953147883","https://openalex.org/W2953356739","https://openalex.org/W2963063806","https://openalex.org/W2963264961","https://openalex.org/W2965510113","https://openalex.org/W2970748008","https://openalex.org/W2997194369","https://openalex.org/W2998446468","https://openalex.org/W3034797437","https://openalex.org/W3035407080","https://openalex.org/W3035740499","https://openalex.org/W3101602207","https://openalex.org/W3104579227","https://openalex.org/W3105083537","https://openalex.org/W3105293920","https://openalex.org/W3117344805","https://openalex.org/W3138389337","https://openalex.org/W3167136668","https://openalex.org/W3176920001","https://openalex.org/W3177239031","https://openalex.org/W3217381797","https://openalex.org/W4226025159","https://openalex.org/W4285277253","https://openalex.org/W4285305471","https://openalex.org/W4382202817","https://openalex.org/W4384890998","https://openalex.org/W4385567203","https://openalex.org/W4385573246"],"related_works":["https://openalex.org/W2377297411","https://openalex.org/W3148217948","https://openalex.org/W2375788636","https://openalex.org/W2358561207","https://openalex.org/W2388704129","https://openalex.org/W2392827053","https://openalex.org/W2975617233","https://openalex.org/W3188962172","https://openalex.org/W3204019825","https://openalex.org/W2368651715"],"abstract_inverted_index":{"Aspect":[0],"sentiment":[1,8,15,21,73,108,137],"triplet":[2,22],"extraction":[3],"(ASTE)":[4],"is":[5,70,114],"an":[6,25,80],"emerging":[7],"analysis":[9],"task":[10,91],"that":[11,188],"aims":[12],"to":[13,47,54,92,140,170],"extract":[14],"triplets":[16],"from":[17,116],"review":[18],"sentences.":[19],"Each":[20],"consists":[23,103],"of":[24,67,97,104,135,167],"aspect,":[26],"corresponding":[27],"opinion,":[28],"and":[29,107,145,162],"sentiment.":[30],"Although":[31],"extensive":[32],"research":[33],"has":[34],"been":[35],"conducted":[36],"on":[37,182],"the":[38,44,49,56,62,94,98,117,132,136,142,172,175,191],"ASTE":[39,90,184],"task,":[40],"existing":[41,99],"methods":[42],"use":[43],"span":[45,59,144,148,161,177],"representations":[46],"predict":[48],"relationship":[50],"between":[51,58,174],"spans,":[52],"failing":[53],"consider":[55],"interrelation":[57,173],"pairs.":[60,178],"On":[61],"other":[63],"hand,":[64],"early":[65],"fusion":[66],"entity":[68,105,112,118,129],"information":[69,113,130],"critical":[71],"for":[72,89],"classification.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,124,151],"propose":[79],"Enhanced":[81],"Packed":[82],"Marker":[83],"with":[84,128],"Entity":[85],"Information":[86],"(EPMEI)":[87],"framework":[88],"address":[93],"above":[95],"limitations":[96],"works.":[100],"Specifically,":[101],"EPMEI":[102,189],"recognition":[106,119],"classification":[109,138],"models.":[110],"The":[111],"obtained":[115],"model":[120,139,171],"first.":[121],"After":[122],"that,":[123],"insert":[125],"solid":[126],"markers":[127,166],"at":[131],"input":[133],"layer":[134],"highlight":[141],"subject":[143,147,160],"improve":[146],"representation.":[149],"Furthermore,":[150],"introduce":[152],"a":[153],"subject-oriented":[154],"packing":[155],"strategy,":[156],"which":[157],"packs":[158],"each":[159],"all":[163],"its":[164],"levitated":[165],"object":[168],"spans":[169],"same-subject":[176],"Extensive":[179],"experimental":[180],"results":[181],"four":[183],"benchmark":[185],"datasets":[186],"demonstrate":[187],"achieves":[190],"state-of-the-art":[192],"baseline.":[193],"Our":[194],"code":[195],"can":[196],"be":[197],"found":[198],"in":[199],"https://github.com/MKMaS-GUET/EPMEI.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}