{"id":"https://openalex.org/W2796877338","doi":"https://doi.org/10.1145/3209978.3210046","title":"Characterizing and Supporting Question Answering in Human-to-Human Communication","display_name":"Characterizing and Supporting Question Answering in Human-to-Human Communication","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2796877338","doi":"https://doi.org/10.1145/3209978.3210046","mag":"2796877338"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & 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/A5044694251","display_name":"Xiao Yang","orcid":"https://orcid.org/0000-0003-2136-3014"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao Yang","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021000040","display_name":"Ahmed Hassan Awadallah","orcid":"https://orcid.org/0000-0001-6426-3537"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Hassan Awadallah","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054253075","display_name":"Madian Khabsa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madian Khabsa","raw_affiliation_strings":["Apple, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Apple, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210153776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032735177","display_name":"Miaosen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miaosen Wang","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044694251"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.4929,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8914355,"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":"345","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8173795342445374},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.737535297870636},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6924992203712463},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6021901965141296},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5535422563552856},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4983556270599365},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4454195201396942},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.434871643781662},{"id":"https://openalex.org/keywords/questions-and-answers","display_name":"Questions and answers","score":0.4146277904510498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26860687136650085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8173795342445374},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.737535297870636},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6924992203712463},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6021901965141296},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5535422563552856},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4983556270599365},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4454195201396942},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.434871643781662},{"id":"https://openalex.org/C3019144022","wikidata":"https://www.wikidata.org/wiki/Q4124998","display_name":"Questions and answers","level":2,"score":0.4146277904510498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26860687136650085},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209978.3210046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W9568695","https://openalex.org/W10957333","https://openalex.org/W24871534","https://openalex.org/W35388109","https://openalex.org/W133870725","https://openalex.org/W340682576","https://openalex.org/W396175112","https://openalex.org/W1603345068","https://openalex.org/W1724480474","https://openalex.org/W1880262756","https://openalex.org/W1966443646","https://openalex.org/W2004184082","https://openalex.org/W2050042708","https://openalex.org/W2052742498","https://openalex.org/W2064675550","https://openalex.org/W2065240770","https://openalex.org/W2095688344","https://openalex.org/W2108873957","https://openalex.org/W2112175905","https://openalex.org/W2115590521","https://openalex.org/W2118090838","https://openalex.org/W2119799268","https://openalex.org/W2120366045","https://openalex.org/W2126117249","https://openalex.org/W2128892113","https://openalex.org/W2131744502","https://openalex.org/W2133564696","https://openalex.org/W2137891816","https://openalex.org/W2144211451","https://openalex.org/W2147308966","https://openalex.org/W2162355876","https://openalex.org/W2192410469","https://openalex.org/W2250175451","https://openalex.org/W2250539671","https://openalex.org/W2252143362","https://openalex.org/W2264274310","https://openalex.org/W2264482454","https://openalex.org/W2269075722","https://openalex.org/W2293707295","https://openalex.org/W2296712013","https://openalex.org/W2373570000","https://openalex.org/W2396662988","https://openalex.org/W2413794162","https://openalex.org/W2466394292","https://openalex.org/W2472879408","https://openalex.org/W2474838075","https://openalex.org/W2566770969","https://openalex.org/W2574872930","https://openalex.org/W2611029872","https://openalex.org/W2614403482","https://openalex.org/W2915240437","https://openalex.org/W2949888546","https://openalex.org/W2952113915","https://openalex.org/W2963963856","https://openalex.org/W3105187107","https://openalex.org/W4231510805"],"related_works":["https://openalex.org/W2118632115","https://openalex.org/W2555213299","https://openalex.org/W2576107865","https://openalex.org/W3215363805","https://openalex.org/W1846393350","https://openalex.org/W4307481286","https://openalex.org/W4226441484","https://openalex.org/W2577658701","https://openalex.org/W1990306092","https://openalex.org/W4380136315"],"abstract_inverted_index":{"Email":[0],"continues":[1],"to":[2,25,29,62,80,96,116,139],"be":[3],"one":[4],"of":[5,10,18,49,86,120,147,162],"the":[6,47,84,118,137,140,156],"most":[7],"important":[8],"means":[9],"online":[11],"communication.":[12],"People":[13],"spend":[14],"a":[15,55,78,130,172,179],"significant":[16],"amount":[17],"time":[19],"sending,":[20],"reading,":[21],"searching":[22],"and":[23,51,68,90,98,109,164,191,198],"responding":[24],"email":[26,45,60,107,126,175,189],"in":[27,46,70,201],"order":[28],"manage":[30],"tasks,":[31],"exchange":[32,42,65],"information,":[33],"etc.":[34],"In":[35],"this":[36,100,114],"paper,":[37],"we":[38,153],"focus":[39],"on":[40,83],"information":[41,64,199],"over":[43],"enterprise":[44,71],"form":[48],"questions":[50,67,87],"answers.":[52],"We":[53,73,112,128,149,167],"study":[54],"large":[56],"scale":[57],"publicly":[58],"available":[59],"dataset":[61],"characterize":[63],"via":[66],"answers":[69],"email.":[72,202],"augment":[74],"our":[75,169],"analysis":[76],"with":[77],"survey":[79],"gain":[81],"insights":[82],"types":[85],"exchanged,":[88],"when":[89],"how":[91],"do":[92],"people":[93],"get":[94],"back":[95],"them":[97],"whether":[99],"behavior":[101],"is":[102],"adequately":[103],"supported":[104],"by":[105,158],"existing":[106],"management":[108],"search":[110],"functionality.":[111],"leverage":[113],"understanding":[115],"define":[117],"task":[119],"extracting":[121],"question/answer":[122],"pairs":[123],"from":[124],"threaded":[125],"conversations.":[127],"propose":[129],"neural":[131],"network":[132],"based":[133],"approach":[134,170],"that":[135,152,194],"matches":[136],"question":[138,163,196],"answer":[141,165],"considering":[142],"comparisons":[143],"at":[144],"different":[145],"levels":[146],"granularity.":[148],"also":[150],"show":[151],"can":[154],"improve":[155],"performance":[157],"leveraging":[159],"external":[160],"data":[161,176],"pairs.":[166],"test":[168],"using":[171,178],"manually":[173],"labeled":[174],"collected":[177],"crowd-sourcing":[180],"annotation":[181],"study.":[182],"Our":[183],"findings":[184],"have":[185],"implications":[186],"for":[187],"designing":[188],"clients":[190],"intelligent":[192],"agents":[193],"support":[195],"answering":[197],"lookup":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}