{"id":"https://openalex.org/W4384520696","doi":"https://doi.org/10.1145/3571884.3597133","title":"Understanding and Answering Incomplete Questions","display_name":"Understanding and Answering Incomplete Questions","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4384520696","doi":"https://doi.org/10.1145/3571884.3597133"},"language":"en","primary_location":{"id":"doi:10.1145/3571884.3597133","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3571884.3597133","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Conversational User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3571884.3597133","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007848957","display_name":"Angus Addlesee","orcid":"https://orcid.org/0000-0001-9059-1104"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Angus Addlesee","raw_affiliation_strings":["Heriot-Watt University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-9059-1104","affiliations":[{"raw_affiliation_string":"Heriot-Watt University, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006797469","display_name":"Marco Damonte","orcid":"https://orcid.org/0000-0001-7804-1986"},"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":"Marco Damonte","raw_affiliation_strings":["Alexa AI, Amazon, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-7804-1986","affiliations":[{"raw_affiliation_string":"Alexa AI, Amazon, United Kingdom","institution_ids":["https://openalex.org/I4210123934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007848957"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":1.1929,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82888079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T12031","display_name":"Speech and dialogue systems","score":0.9937999844551086,"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/pipeline","display_name":"Pipeline (software)","score":0.7831429243087769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774212121963501},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.6725444793701172},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6640981435775757},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6580238342285156},{"id":"https://openalex.org/keywords/interrupt","display_name":"Interrupt","score":0.641858696937561},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5526915192604065},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.47931185364723206},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4658328890800476},{"id":"https://openalex.org/keywords/complete-information","display_name":"Complete information","score":0.4599546194076538},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4520629644393921},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43320411443710327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.374958336353302},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36686062812805176},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.33708781003952026},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2410571277141571},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2016536295413971},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14138361811637878}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7831429243087769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774212121963501},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.6725444793701172},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6640981435775757},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6580238342285156},{"id":"https://openalex.org/C41661131","wikidata":"https://www.wikidata.org/wiki/Q220764","display_name":"Interrupt","level":3,"score":0.641858696937561},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5526915192604065},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.47931185364723206},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4658328890800476},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.4599546194076538},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4520629644393921},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43320411443710327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.374958336353302},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36686062812805176},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.33708781003952026},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2410571277141571},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2016536295413971},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14138361811637878},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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:10.1145/3571884.3597133","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3571884.3597133","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Conversational User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3571884.3597133","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3571884.3597133","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Conversational User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7556389956","display_name":null,"funder_award_id":"871245","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1516184288","https://openalex.org/W1552847225","https://openalex.org/W1882616800","https://openalex.org/W1950893908","https://openalex.org/W1973120253","https://openalex.org/W1986450839","https://openalex.org/W2008986570","https://openalex.org/W2038880450","https://openalex.org/W2080133951","https://openalex.org/W2094728533","https://openalex.org/W2102722370","https://openalex.org/W2108724304","https://openalex.org/W2131785201","https://openalex.org/W2142059510","https://openalex.org/W2148721079","https://openalex.org/W2161568440","https://openalex.org/W2252136820","https://openalex.org/W2294131806","https://openalex.org/W2309189658","https://openalex.org/W2566402689","https://openalex.org/W2594894191","https://openalex.org/W2612913304","https://openalex.org/W2615855330","https://openalex.org/W2738658885","https://openalex.org/W2786660442","https://openalex.org/W2803224102","https://openalex.org/W2898982214","https://openalex.org/W3003813211","https://openalex.org/W3091195047","https://openalex.org/W3102716347","https://openalex.org/W3103469330","https://openalex.org/W3112188842","https://openalex.org/W3136058558","https://openalex.org/W3171869334","https://openalex.org/W4213069590","https://openalex.org/W4220844664","https://openalex.org/W4285147034","https://openalex.org/W4288076474","https://openalex.org/W4293211434","https://openalex.org/W4324258509"],"related_works":["https://openalex.org/W2615202182","https://openalex.org/W4206665951","https://openalex.org/W2529794967","https://openalex.org/W2904139343","https://openalex.org/W2604011835","https://openalex.org/W3139465322","https://openalex.org/W2484233589","https://openalex.org/W2528203718","https://openalex.org/W4241483715","https://openalex.org/W2768092701"],"abstract_inverted_index":{"Voice":[0],"assistants":[1],"interrupt":[2],"people":[3,27,40],"when":[4],"they":[5],"pause":[6],"mid-question,":[7],"a":[8,92],"frustrating":[9],"interaction":[10],"that":[11,44,94,112,139],"requires":[12],"the":[13,17,42,97,131,144,148],"full":[14,98],"repetition":[15],"of":[16,147],"entire":[18],"question":[19],"again.":[20],"This":[21],"impacts":[22],"all":[23],"users,":[24],"but":[25,125],"particularly":[26],"with":[28,85],"cognitive":[29],"impairments.":[30],"In":[31,47],"human-human":[32],"conversation,":[33],"these":[34,67],"situations":[35],"are":[36],"recovered":[37],"naturally":[38],"as":[39],"understand":[41],"words":[43],"were":[45],"uttered.":[46],"this":[48],"paper":[49],"we":[50],"build":[51],"answer":[52,124],"pipelines":[53,68],"which":[54],"parse":[55],"incomplete":[56,132],"questions":[57],"and":[58,82],"repair":[59],"them":[60],"following":[61],"human":[62],"recovery":[63],"strategies.":[64],"We":[65],"evaluated":[66],"on":[69],"our":[70,100,113],"new":[71],"corpus,":[72],"SLUICE.":[73],"It":[74,134],"contains":[75],"21,000":[76],"interrupted":[77],"questions,":[78],"from":[79],"LC-QuAD":[80],"2.0":[81],"QALD-9-plus,":[83],"paired":[84],"their":[86],"underspecified":[87],"SPARQL":[88],"queries.":[89],"Compared":[90],"to":[91,121],"system":[93],"is":[95,119,126],"given":[96],"question,":[99],"best":[101],"partial":[102],"understanding":[103],"pipeline":[104,114],"answered":[105],"only":[106],"0.77%":[107],"fewer":[108],"questions.":[109],"Results":[110],"show":[111],"correctly":[115],"identifies":[116,137],"what":[117],"information":[118,141],"required":[120],"provide":[122],"an":[123],"not":[127],"yet":[128],"provided":[129],"by":[130],"question.":[133,149],"also":[135],"accurately":[136],"where":[138],"missing":[140],"belongs":[142],"in":[143],"semantic":[145],"structure":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
