{"id":"https://openalex.org/W2945465473","doi":"https://doi.org/10.1145/3331184.3331326","title":"FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance","display_name":"FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2945465473","doi":"https://doi.org/10.1145/3331184.3331326","mag":"2945465473"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.02851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014104676","display_name":"Wataru Sakata","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096607","display_name":"Line Corporation (Japan)","ror":"https://ror.org/00qg8pm87","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210096607","https://openalex.org/I60922564"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Sakata","raw_affiliation_strings":["LINE Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"LINE Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210096607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068147431","display_name":"Tomohide Shibata","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohide Shibata","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010590857","display_name":"Ribeka Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ribeka Tanaka","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028836340","display_name":"Sadao Kurohashi","orcid":"https://orcid.org/0000-0001-5398-8399"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sadao Kurohashi","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.289,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":92,"citation_normalized_percentile":{"value":0.842408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Natural Language Processing","score":0.9999,"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":"Natural Language Processing","score":0.9999,"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":"Statistical Machine Translation and Natural Language Processing","score":0.9988,"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/T10286","display_name":"Information Retrieval Techniques and Evaluation","score":0.9939,"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/relevance","display_name":"Relevance (law)","score":0.7730904},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6157528},{"id":"https://openalex.org/keywords/query-analysis","display_name":"Query Analysis","score":0.557958},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance Feedback","score":0.553323},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information Retrieval","score":0.550349},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic Similarity","score":0.53243},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to Rank","score":0.517363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83152163},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7796477},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7730904},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.67042285},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6171826},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6157528},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5519087},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.46488827},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.43046343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27805805},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.19675717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06385645},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.02851","pdf_url":"https://arxiv.org/pdf/1905.02851","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.02851","pdf_url":"https://arxiv.org/pdf/1905.02851","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W2096937925","https://openalex.org/W2173361515","https://openalex.org/W2405628206","https://openalex.org/W2427527485","https://openalex.org/W2755391264","https://openalex.org/W2896457183","https://openalex.org/W2923014074","https://openalex.org/W2962768358","https://openalex.org/W2962784628","https://openalex.org/W2963403868"],"related_works":["https://openalex.org/W2460037195","https://openalex.org/W2142731558","https://openalex.org/W2134013435","https://openalex.org/W2077213532","https://openalex.org/W2009716188","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W1971071004","https://openalex.org/W1921936017","https://openalex.org/W1518380457"],"abstract_inverted_index":{"Frequently":[0],"Asked":[1],"Question":[2],"(FAQ)":[3],"retrieval":[4,32,62,81],"is":[5,12,63,118,133,167,181,185],"an":[6,15,54],"important":[7],"task":[8],"where":[9],"the":[10,36,48,51,85,88,93,96,99,121,125,153,186],"objective":[11],"to":[13,60,64,83,136,152],"retrieve":[14],"appropriate":[16],"Question-Answer":[17],"(QA)":[18],"pair":[19],"from":[20],"a":[21,25,30,39,43,57,77,111,138,169,174],"database":[22],"based":[23],"on":[24,161,200],"user's":[26,40],"query.":[27],"We":[28,157,191],"propose":[29],"FAQ":[31,61,112,131,147],"system":[33,82],"that":[34,149,193],"considers":[35],"similarity":[37,86],"between":[38,50,87,98],"query":[41,52,89,100],"and":[42,53,90,101],"question":[44],"as":[45,47],"well":[46],"relevance":[49,97,122],"answer.":[55],"Although":[56],"common":[58],"approach":[59,160],"construct":[65,172],"labeled":[66],"data":[67],"for":[68,120],"training,":[69],"it":[70],"takes":[71],"annotation":[72],"costs.":[73],"Therefore,":[74],"we":[75,140,171],"use":[76],"traditional":[78],"unsupervised":[79],"information":[80],"calculate":[84],"question.":[91,156],"On":[92],"other":[94],"hand,":[95],"answer":[102],"can":[103],"be":[104],"learned":[105],"by":[106,145],"using":[107],"QA":[108,128],"pairs":[109,129],"in":[110,130,155,173,189],"database.":[113],"The":[114,164,179],"recently-proposed":[115],"BERT":[116],"model":[117],"used":[119],"calculation.":[123],"Since":[124],"number":[126],"of":[127],"page":[132],"not":[134],"enough":[135],"train":[137],"model,":[139],"cope":[141],"with":[142],"this":[143],"issue":[144],"leveraging":[146],"sets":[148],"are":[150],"similar":[151],"one":[154,166],"evaluate":[158],"our":[159,194],"two":[162],"datasets.":[163,202],"first":[165],"localgovFAQ,":[168],"dataset":[170,188],"Japanese":[175],"administrative":[176],"municipality":[177],"domain.":[178],"second":[180],"StackExchange":[182],"dataset,":[183],"which":[184],"public":[187],"English.":[190],"demonstrate":[192],"proposed":[195],"method":[196],"outperforms":[197],"baseline":[198],"methods":[199],"these":[201]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2945465473","counts_by_year":[{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":22}],"updated_date":"2024-12-03T11:59:06.131002","created_date":"2019-05-29"}