{"id":"https://openalex.org/W4290927914","doi":"https://doi.org/10.1145/3534678.3539162","title":"Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation","display_name":"Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290927914","doi":"https://doi.org/10.1145/3534678.3539162"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539162","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534678.3539162","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534678.3539162","source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3534678.3539162","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101401062","display_name":"Rajdeep Sarkar","orcid":"https://orcid.org/0000-0002-3942-2978"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Rajdeep Sarkar","raw_affiliation_strings":["National University of Ireland Galway, Galway, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053023517","display_name":"Sourav Dutta","orcid":"https://orcid.org/0000-0002-8934-9166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sourav Dutta","raw_affiliation_strings":["Huawei Research, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Research, Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558340","display_name":"Haytham Assem","orcid":"https://orcid.org/0000-0001-6026-9683"},"institutions":[{"id":"https://openalex.org/I4210123934","display_name":"Amazon (United Kingdom)","ror":"https://ror.org/02xey9634","country_code":"GB","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210123934"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haytham Assem","raw_affiliation_strings":["Amazon Alexa AI, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210123934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056593729","display_name":"Mihael Ar\u010dan","orcid":"https://orcid.org/0000-0002-3116-621X"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Mihael Arcan","raw_affiliation_strings":["National University of Ireland Galway, Galway, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036503167","display_name":"John P. McCrae","orcid":"https://orcid.org/0000-0002-7227-1331"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"John McCrae","raw_affiliation_strings":["National University of Ireland Galway, Galway, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Ireland Galway, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4153,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5755102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3849","last_page":"3857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9890999794006348,"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":0.9779000282287598,"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":0.8821805119514465},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.828728199005127},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.746978759765625},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6996381282806396},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6503013372421265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.645668625831604},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5979330539703369},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5850374698638916},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5576524138450623},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5469763875007629},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5094040036201477},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49506059288978577},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4602242112159729},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.45668402314186096},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4471132457256317},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.41262516379356384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3857632875442505},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3639802038669586},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.09016275405883789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8821805119514465},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.828728199005127},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.746978759765625},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6996381282806396},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6503013372421265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645668625831604},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5979330539703369},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5850374698638916},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5576524138450623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5469763875007629},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5094040036201477},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49506059288978577},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4602242112159729},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.45668402314186096},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4471132457256317},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.41262516379356384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3857632875442505},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3639802038669586},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.09016275405883789},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3539162","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534678.3539162","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534678.3539162","source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3534678.3539162","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534678.3539162","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534678.3539162","source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1320798793","display_name":null,"funder_award_id":"SFI/12/RC/2289 2","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G1383882326","display_name":null,"funder_award_id":"SFI/12/RC/","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G2881606312","display_name":null,"funder_award_id":"SFI/12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G5098725405","display_name":null,"funder_award_id":"12/RC/","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G7362007176","display_name":null,"funder_award_id":"12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320321056","display_name":"Irish Research Council","ror":"https://ror.org/051xex213"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4290927914.pdf","grobid_xml":"https://content.openalex.org/works/W4290927914.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1966443646","https://openalex.org/W2159740989","https://openalex.org/W2776699178","https://openalex.org/W2902365885","https://openalex.org/W2949849869","https://openalex.org/W2963748441","https://openalex.org/W2970641574","https://openalex.org/W2988673764","https://openalex.org/W3011411500","https://openalex.org/W3034212969","https://openalex.org/W3101007570","https://openalex.org/W3105136066","https://openalex.org/W3155979791","https://openalex.org/W3174532536","https://openalex.org/W3196704868","https://openalex.org/W3214554611","https://openalex.org/W4232812820","https://openalex.org/W6949549905"],"related_works":["https://openalex.org/W3204607391","https://openalex.org/W2964413124","https://openalex.org/W4388937922","https://openalex.org/W2989500370","https://openalex.org/W3113264705","https://openalex.org/W3035557009","https://openalex.org/W2955172689","https://openalex.org/W2341113105","https://openalex.org/W3204418343","https://openalex.org/W3132602785"],"abstract_inverted_index":{"Selecting":[0],"an":[1,7,98],"appropriate":[2],"and":[3,44,88,137],"relevant":[4,43],"context":[5],"forms":[6],"essential":[8],"component":[9],"for":[10,106,121,140],"the":[11,32,46,145],"efficacy":[12],"of":[13,25,34,57,91,147],"several":[14],"information":[15],"retrieval":[16],"applications":[17],"like":[18],"Question":[19,158],"Answering":[20,159],"(QA)":[21],"systems.":[22],"The":[23],"problem":[24],"Answer":[26],"Sentence":[27],"Selection":[28],"(AS2)":[29],"refers":[30],"to":[31,48,85,102,115,131],"task":[33],"selecting":[35],"sentences,":[36],"from":[37],"a":[38,55,127],"larger":[39],"text,":[40],"that":[41],"are":[42],"contain":[45],"answer":[47,138],"users'":[49],"queries.":[50],"While":[51],"there":[52],"has":[53],"been":[54],"lot":[56],"success":[58],"in":[59,75],"building":[60],"AS2":[61,104,154],"systems":[62],"trained":[63],"on":[64,156],"open-domain":[65],"data":[66],"(e.g.,":[67],"SQuAD,":[68],"NQ),":[69],"they":[70],"do":[71],"not":[72],"generalize":[73],"well":[74],"closed-domain":[76],"settings,":[77],"since":[78],"domain":[79,122],"adaptation":[80],"can":[81],"be":[82],"challenging":[83],"due":[84],"poor":[86],"availability":[87],"annotation":[89],"expense":[90],"domain-specific":[92,107,118],"data.":[93],"This":[94],"paper":[95],"proposes":[96],"SEDAN,":[97],"effective":[99],"self-learning":[100],"framework":[101],"adapt":[103],"models":[105,114],"applications.":[108],"We":[109,124],"leverage":[110],"large":[111],"pre-trained":[112,128],"language":[113],"automatically":[116],"generate":[117],"QA":[119],"pairs":[120],"adaptation.":[123],"further":[125],"fine-tune":[126],"Sentence-BERT":[129],"architecture":[130],"capture":[132],"semantic":[133],"relatedness":[134],"between":[135],"questions":[136],"sentences":[139],"AS2.":[141],"Extensive":[142],"experiments":[143],"demonstrate":[144],"effectiveness":[146],"our":[148],"proposed":[149],"approach":[150],"(over":[151],"existing":[152],"state-of-the-art":[153],"baselines)":[155],"different":[157],"benchmark":[160],"datasets.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}