{"id":"https://openalex.org/W4284664200","doi":"https://doi.org/10.1145/3477495.3532049","title":"QUASER","display_name":"QUASER","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284664200","doi":"https://doi.org/10.1145/3477495.3532049"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3532049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532049","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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 45th 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/A5021080594","display_name":"Asish Ghoshal","orcid":null},"institutions":[{"id":"https://openalex.org/I2799847335","display_name":"Art Institute of Portland","ror":"https://ror.org/01cb0jg64","country_code":"US","type":"education","lineage":["https://openalex.org/I2799847335","https://openalex.org/I2799969541"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Asish Ghoshal","raw_affiliation_strings":["Meta AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I2799847335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088004913","display_name":"Srinivasan Iyer","orcid":"https://orcid.org/0000-0002-6186-2603"},"institutions":[{"id":"https://openalex.org/I2799847335","display_name":"Art Institute of Portland","ror":"https://ror.org/01cb0jg64","country_code":"US","type":"education","lineage":["https://openalex.org/I2799847335","https://openalex.org/I2799969541"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Iyer","raw_affiliation_strings":["Meta AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I2799847335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053544878","display_name":"Bhargavi Paranjape","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhargavi Paranjape","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050838145","display_name":"Kushal Lakhotia","orcid":null},"institutions":[{"id":"https://openalex.org/I2799847335","display_name":"Art Institute of Portland","ror":"https://ror.org/01cb0jg64","country_code":"US","type":"education","lineage":["https://openalex.org/I2799847335","https://openalex.org/I2799969541"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kushal Lakhotia","raw_affiliation_strings":["Meta AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I2799847335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027596907","display_name":"Scott Yih","orcid":null},"institutions":[{"id":"https://openalex.org/I2799847335","display_name":"Art Institute of Portland","ror":"https://ror.org/01cb0jg64","country_code":"US","type":"education","lineage":["https://openalex.org/I2799847335","https://openalex.org/I2799969541"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Wen-tau Yih","raw_affiliation_strings":["Meta AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I2799847335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067997502","display_name":"Yashar Mehdad","orcid":null},"institutions":[{"id":"https://openalex.org/I2799847335","display_name":"Art Institute of Portland","ror":"https://ror.org/01cb0jg64","country_code":"US","type":"education","lineage":["https://openalex.org/I2799847335","https://openalex.org/I2799969541"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashar Mehdad","raw_affiliation_strings":["Meta AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I2799847335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021080594"],"corresponding_institution_ids":["https://openalex.org/I2799847335"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38795518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1208","last_page":"1218"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9991999864578247,"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":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9189779162406921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8500989675521851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677265763282776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6135658025741577},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6102527379989624},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6052017211914062},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5970607995986938},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5736091136932373},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5087845921516418},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4702790081501007},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4547696113586426},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4258997142314911},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34199678897857666}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9189779162406921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500989675521851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677265763282776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6135658025741577},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6102527379989624},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6052017211914062},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5970607995986938},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5736091136932373},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5087845921516418},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4702790081501007},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4547696113586426},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4258997142314911},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34199678897857666},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3532049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532049","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2282821441","https://openalex.org/W2478708596","https://openalex.org/W2747329762","https://openalex.org/W2750779823","https://openalex.org/W2804897457","https://openalex.org/W2908854766","https://openalex.org/W2949227999","https://openalex.org/W2962833140","https://openalex.org/W2963233086","https://openalex.org/W2963961878","https://openalex.org/W2973154008","https://openalex.org/W3004346089","https://openalex.org/W3035503910","https://openalex.org/W3035628711","https://openalex.org/W3098794549","https://openalex.org/W3099624838","https://openalex.org/W3102659883","https://openalex.org/W3103621845","https://openalex.org/W3105868192","https://openalex.org/W3138819813","https://openalex.org/W4239019441"],"related_works":["https://openalex.org/W4366769859","https://openalex.org/W112744582","https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4385965371","https://openalex.org/W4386025632","https://openalex.org/W3006943036","https://openalex.org/W3136744003","https://openalex.org/W4368755502"],"abstract_inverted_index":{"Designing":[0],"natural":[1],"language":[2,145],"processing":[3],"(NLP)":[4],"models":[5,67,97,146],"that":[6,41,95,103],"produce":[7,99],"predictions":[8],"by":[9,49,107],"first":[10],"extracting":[11],"a":[12,80,87,112],"set":[13],"of":[14,89],"relevant":[15],"input":[16,91],"sentences,":[17],"i.e.,":[18],"rationales,":[19,71,102],"is":[20,46,138],"gaining":[21],"importance":[22],"for":[23,31],"improving":[24,130],"model":[25,137],"interpretability":[26],"and":[27,55,110,140],"producing":[28],"supporting":[29],"evidence":[30],"users.":[32],"Current":[33],"unsupervised":[34,65,133],"approaches":[35],"are":[36,104],"designed":[37],"to":[38,57,68,78,147],"extract":[39,69],"rationales":[40],"maximize":[42],"prediction":[43],"accuracy,":[44],"which":[45,72],"invariably":[47],"obtained":[48],"exploiting":[50],"spurious":[51],"correlations":[52],"in":[53],"datasets,":[54],"leads":[56],"unconvincing":[58],"rationales.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"introduce":[64],"generative":[66],"dual-purpose":[70],"must":[73],"not":[74],"only":[75],"be":[76],"able":[77],"support":[79,86],"subsequent":[81],"answer":[82],"prediction,":[83],"but":[84],"also":[85,114],"reproduction":[88],"the":[90,116,126],"query.":[92],"We":[93],"show":[94],"such":[96],"can":[98],"more":[100],"meaningful":[101],"less":[105],"influenced":[106],"dataset":[108],"artifacts,":[109],"as":[111],"result,":[113],"achieve":[115],"state-of-the-art":[117,143],"on":[118,122],"rationale":[119],"extraction":[120],"metrics":[121],"four":[123],"datasets":[124],"from":[125],"ERASER":[127],"benchmark,":[128],"significantly":[129],"upon":[131],"previous":[132],"methods.":[134],"Our":[135],"multi-task":[136],"scalable":[139],"enables":[141],"using":[142],"pretrained":[144],"design":[148],"explainable":[149],"question":[150],"answering":[151],"systems.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-07-08T00:00:00"}
