{"id":"https://openalex.org/W2742113702","doi":"https://doi.org/10.1145/3077136.3080801","title":"Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning","display_name":"Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2742113702","doi":"https://doi.org/10.1145/3077136.3080801","mag":"2742113702"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100663902","display_name":"Vineet Kumar","orcid":"https://orcid.org/0000-0001-8364-3981"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vineet Kumar","raw_affiliation_strings":["IBM Research Labs, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Labs, New Delhi, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102334232","display_name":"Sachindra Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachindra Joshi","raw_affiliation_strings":["IBM Research Labs, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Labs, New Delhi, India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":2.3532,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92223324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"705","last_page":"714"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.820818305015564},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7827356457710266},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.720770001411438},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7062614560127258},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6585577130317688},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6149641275405884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771448612213135},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5707166790962219},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5417919158935547},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5206438899040222},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35164692997932434},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09338000416755676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.820818305015564},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7827356457710266},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.720770001411438},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7062614560127258},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6585577130317688},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6149641275405884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771448612213135},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5707166790962219},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5417919158935547},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5206438899040222},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35164692997932434},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09338000416755676},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3080801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"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":51,"referenced_works":["https://openalex.org/W6020316","https://openalex.org/W44515078","https://openalex.org/W179875071","https://openalex.org/W1480511517","https://openalex.org/W1502662603","https://openalex.org/W1514535095","https://openalex.org/W1551803577","https://openalex.org/W1591801644","https://openalex.org/W1815076433","https://openalex.org/W1905882502","https://openalex.org/W1964594398","https://openalex.org/W1965154800","https://openalex.org/W2028919349","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2101105183","https://openalex.org/W2110485445","https://openalex.org/W2115461474","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2143017621","https://openalex.org/W2143697166","https://openalex.org/W2144717869","https://openalex.org/W2148952635","https://openalex.org/W2161013325","https://openalex.org/W2165216445","https://openalex.org/W2220981600","https://openalex.org/W2251344114","https://openalex.org/W2271840356","https://openalex.org/W2339852062","https://openalex.org/W2373570000","https://openalex.org/W2395695402","https://openalex.org/W2405880834","https://openalex.org/W2467764055","https://openalex.org/W2473965551","https://openalex.org/W2482325199","https://openalex.org/W2510257128","https://openalex.org/W2531908596","https://openalex.org/W2539095851","https://openalex.org/W2559843024","https://openalex.org/W2579689822","https://openalex.org/W2583741591","https://openalex.org/W2786553814","https://openalex.org/W2953061907","https://openalex.org/W2962775474","https://openalex.org/W2963088995","https://openalex.org/W2963201387","https://openalex.org/W4251372957","https://openalex.org/W4285719527","https://openalex.org/W4388351455","https://openalex.org/W4411117078"],"related_works":["https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2378167147","https://openalex.org/W3210777354","https://openalex.org/W2772323916","https://openalex.org/W2281307425","https://openalex.org/W2464405057"],"abstract_inverted_index":{"Intelligent":[0],"personal":[1],"assistants":[2],"(IPAs)":[3],"and":[4,33,37,54,114],"interactive":[5],"question":[6,32,79,84,132],"answering":[7,217],"(IQA)":[8],"systems":[9,39],"frequently":[10],"encounter":[11],"incomplete":[12,16,51,82,218],"follow-up":[13,17,52,83,219],"questions.":[14,220],"The":[15,117],"questions":[18,53,127,151,162],"only":[19,95,101],"make":[20],"sense":[21],"when":[22,202],"seen":[23],"in":[24,46,216],"conjunction":[25],"with":[26],"the":[27,30,43,50,75,86,108,124,137,143,148,186],"conversation":[28,44,87],"context:":[29],"previous":[31],"answer.":[34],"Thus,":[35],"IQA":[36],"IPA":[38],"need":[40],"to":[41,48,68,175,195,210],"utilize":[42],"context":[45],"order":[47],"handle":[49],"generate":[55,74],"an":[56,81,178,196,212],"appropriate":[57],"response.":[58],"In":[59,142],"this":[60],"work,":[61],"we":[62,146],"present":[63],"a":[64,96,102,129,153,168,192,205],"retrieval":[65],"based":[66,181],"sequence":[67,69],"learning":[70],"system":[71,93,165,190,201],"that":[72],"can":[73,90,166],"complete":[76,126],"(or":[77],"intended)":[78],"for":[80],"(given":[85],"context).":[88],"We":[89,183],"train":[91],"our":[92,189],"using":[94,136,152,177],"small":[97,138],"labeled":[98,139],"dataset":[99],"(with":[100],"few":[103],"thousand":[104],"conversations),":[105],"by":[106],"decomposing":[107],"original":[109],"problem":[110,119],"into":[111],"two":[112],"simpler":[113],"independent":[115],"problems.":[116],"first":[118],"focuses":[120],"solely":[121],"on":[122,158],"selecting":[123],"candidate":[125,150],"from":[128],"library":[130],"of":[131,160,171,188,214],"templates":[133],"(built":[134],"offline":[135],"conversations":[140],"dataset).":[141],"second":[144],"problem,":[145],"re-rank":[147],"selected":[149],"neural":[154],"language":[155],"model":[156],"(trained":[157],"millions":[159],"unlabelled":[161],"independently).":[163],"Our":[164,200],"achieve":[167,211],"BLEU":[169],"score":[170],"42.91,":[172],"as":[173,191,204],"compared":[174],"29.11":[176],"existing":[179,197],"generation":[180],"approach.":[182],"further":[184],"demonstrate":[185],"utility":[187],"plug-in":[193,206],"module":[194],"QA":[198],"pipeline.":[199],"added":[203],"module,":[207],"enables":[208],"Siri":[209],"improvement":[213],"131.57%":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
