{"id":"https://openalex.org/W3021486811","doi":"https://doi.org/10.1145/3366423.3380764","title":"Interpretable Complex Question Answering","display_name":"Interpretable Complex Question Answering","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3021486811","doi":"https://doi.org/10.1145/3366423.3380764","mag":"3021486811"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380764","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380764","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 Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380764","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101457009","display_name":"Soumen Chakrabarti","orcid":"https://orcid.org/0000-0002-9419-7486"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Soumen Chakrabarti","raw_affiliation_strings":["Dept of CS&amp;Engineering Indian Institute of Technology Bombay Powai Mumbai"],"affiliations":[{"raw_affiliation_string":"Dept of CS&amp;Engineering Indian Institute of Technology Bombay Powai Mumbai","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101457009"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71833108,"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":"2455","last_page":"2457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"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":0.818045973777771},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.7552148103713989},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7287792563438416},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5705430507659912},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5279297828674316},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46573108434677124},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46234312653541565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46089640259742737},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4432525634765625},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16151246428489685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818045973777771},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.7552148103713989},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7287792563438416},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5705430507659912},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5279297828674316},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46573108434677124},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46234312653541565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46089640259742737},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4432525634765625},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16151246428489685},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366423.3380764","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380764","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 Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380764","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380764","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 Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2018850751","https://openalex.org/W2022166150","https://openalex.org/W2036962680","https://openalex.org/W2070246124","https://openalex.org/W2110207985","https://openalex.org/W2158028897","https://openalex.org/W2165389462","https://openalex.org/W2167525316","https://openalex.org/W2250539671","https://openalex.org/W2251079237","https://openalex.org/W2409591106","https://openalex.org/W2891791019","https://openalex.org/W2942639666","https://openalex.org/W2963448850","https://openalex.org/W2964875488"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W17155033","https://openalex.org/W170547082","https://openalex.org/W2136735429","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W2587876411","https://openalex.org/W2358332176","https://openalex.org/W3207760230"],"abstract_inverted_index":{"We":[0],"will":[1,290],"review":[2],"cross-community":[3],"co-evolution":[4],"of":[5,12,19,49,52,174,188,191,209,243,298],"question":[6,73,88],"answering":[7],"(QA)":[8],"with":[9,45,141],"the":[10,78,86,98,113,169,189,207,236,240],"advent":[11],"large-scale":[13],"knowledge":[14],"graphs":[15],"(KGs),":[16],"continuous":[17],"representations":[18],"text":[20],"and":[21,23,54,65,110,167,205,262,277],"graphs,":[22],"deep":[24],"sequence":[25],"analysis.":[26],"Early":[27],"QA":[28,153],"systems":[29,34,282],"were":[30,126],"information":[31],"retrieval":[32],"(IR)":[33],"enhanced":[35],"to":[36,67,84,130,157,179,216,225,234,260,264,268],"extract":[37],"named":[38],"entity":[39,135],"spans":[40,137],"from":[41],"high-scoring":[42],"passages.":[43],"Starting":[44],"WordNet,":[46],"a":[47,72,90,159,210,226,230],"series":[48],"structured":[50,91,99],"curations":[51],"language":[53],"world":[55],"knowledge,":[56],"called":[57,104],"KGs,":[58],"enabled":[59],"further":[60],"improvements.":[61],"Corpus":[62],"is":[63,82,94,103,206,301],"unstructured":[64],"messy":[66],"exploit":[68],"for":[69,251,303],"QA.":[70],"If":[71],"can":[74,107,155,311],"be":[75,108,139,291],"answered":[76],"using":[77],"KG":[79,114,237],"alone,":[80],"it":[81],"attractive":[83],"\u2018interpret\u2019":[85],"free-form":[87],"into":[89,161],"query,":[92],"which":[93,197,229],"then":[95,232],"executed":[96],"on":[97,292],"KG.":[100],"This":[101],"process":[102],"KGQA.":[105],"Answers":[106],"high-quality":[109],"explainable":[111],"if":[112],"has":[115,246],"an":[116,202],"answer,":[117],"but":[118],"manual":[119,296],"curation":[120],"results":[121],"in":[122,220],"low":[123],"coverage.":[124],"KGs":[125,221],"soon":[127],"found":[128],"useful":[129],"harness":[131],"corpus":[132,241],"information.":[133],"Named":[134],"mention":[136],"could":[138],"tagged":[140],"fine-grained":[142],"types":[143],"(e.g.,":[144,150],"scientist),":[145],"or":[146,182,199,272,315],"even":[147],"specific":[148],"entities":[149],"Einstein).":[151],"The":[152],"system":[154],"learn":[156],"decompose":[158],"query":[160],"functional":[162],"parts,":[163],"e.g.,":[164,185],"\u201cwhich":[165],"scientist\u201d":[166],"\u201cplayed":[168],"violin\u201d.":[170],"With":[171],"increasing":[172],"success":[173],"such":[175,244],"systems,":[176],"ambition":[177],"grew":[178],"address":[180],"multi-hop":[181],"multi-clause":[183,253],"queries,":[184],"\u201cthe":[186],"father":[187],"director":[190],"La":[192,193],"Land":[194],"teaches":[195],"at":[196],"university?\u201d":[198],"\u201cwho":[200],"directed":[201],"award-winning":[203],"movie":[204],"son":[208],"Princeton":[211],"University":[212],"professor?\u201d":[213],"Questions":[214],"limited":[215],"simple":[217],"path":[218],"traversals":[219],"have":[222,283],"been":[223,248],"encoded":[224],"vector":[227],"representation,":[228],"decoder":[231],"uses":[233],"guide":[235],"traversal.":[238],"Recently":[239],"counterpart":[242],"strategies":[245],"also":[247],"proposed.":[249],"However,":[250],"general":[252],"queries":[254],"that":[255],"do":[256],"not":[257],"necessarily":[258],"translate":[259],"paths,":[261],"seek":[263],"bind":[265],"multiple":[266,270],"variables":[267],"satisfy":[269],"clauses,":[271],"involve":[273],"logic,":[274],"comparison,":[275],"aggregation":[276],"other":[278],"arithmetic,":[279],"neural":[280],"programmer-interpreter":[281],"seen":[284],"some":[285],"success.":[286],"Our":[287],"key":[288],"focus":[289],"identifying":[293],"situations":[294],"where":[295,308],"introduction":[297],"structural":[299],"bias":[300],"essential":[302],"accuracy,":[304],"as":[305],"against":[306],"cases":[307],"sufficient":[309],"data":[310],"get":[312],"around":[313],"distant":[314],"no":[316],"supervision.":[317]},"counts_by_year":[{"year":2023,"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"}
