{"id":"https://openalex.org/W2471900581","doi":"https://doi.org/10.18653/v1/n16-2016","title":"Question Answering over Knowledge Base using Factual Memory Networks","display_name":"Question Answering over Knowledge Base using Factual Memory Networks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2471900581","doi":"https://doi.org/10.18653/v1/n16-2016","mag":"2471900581"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n16-2016","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-2016","pdf_url":"https://www.aclweb.org/anthology/N16-2016.pdf","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 NAACL Student Research Workshop","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N16-2016.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101511746","display_name":"Sarthak Jain","orcid":"https://orcid.org/0000-0002-4499-337X"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sarthak Jain","raw_affiliation_strings":["Department of Computer Engineering Delhi Technological University DL, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering Delhi Technological University DL, India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101511746"],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":15.425,"has_fulltext":true,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98964706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"115"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9954000115394592,"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":0.8294392824172974},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8015561103820801},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7500065565109253},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6060117483139038},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5917725563049316},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5648627877235413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5368291735649109},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.45663219690322876},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4453127980232239},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42486658692359924},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36871111392974854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36435186862945557},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09557211399078369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8294392824172974},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8015561103820801},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7500065565109253},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6060117483139038},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5917725563049316},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5648627877235413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5368291735649109},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.45663219690322876},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4453127980232239},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42486658692359924},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36871111392974854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36435186862945557},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09557211399078369},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/n16-2016","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-2016","pdf_url":"https://www.aclweb.org/anthology/N16-2016.pdf","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 NAACL Student Research Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n16-2016","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-2016","pdf_url":"https://www.aclweb.org/anthology/N16-2016.pdf","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 NAACL Student Research Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2471900581.pdf","grobid_xml":"https://content.openalex.org/works/W2471900581.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W580074167","https://openalex.org/W1731062554","https://openalex.org/W1793121960","https://openalex.org/W1801721664","https://openalex.org/W1894439495","https://openalex.org/W1981419611","https://openalex.org/W2090243146","https://openalex.org/W2094728533","https://openalex.org/W2126170172","https://openalex.org/W2127426251","https://openalex.org/W2131726681","https://openalex.org/W2158028897","https://openalex.org/W2167187514","https://openalex.org/W2250225488","https://openalex.org/W2251079237","https://openalex.org/W2251089933","https://openalex.org/W2251287417","https://openalex.org/W2251289180","https://openalex.org/W2251673953","https://openalex.org/W2252136820","https://openalex.org/W2951008357"],"related_works":["https://openalex.org/W3134247745","https://openalex.org/W4226243593","https://openalex.org/W3172691639","https://openalex.org/W2963582704","https://openalex.org/W4403761773","https://openalex.org/W4237775755","https://openalex.org/W2355172082","https://openalex.org/W1580667900","https://openalex.org/W1979978247","https://openalex.org/W2102929690"],"abstract_inverted_index":{"In":[0,33],"the":[1,96],"task":[2],"of":[3,24,27,62,74,99],"question":[4],"answering,":[5],"Memory":[6,39],"Networks":[7],"have":[8],"recently":[9],"shown":[10],"to":[11,43,80,84],"be":[12],"quite":[13],"effective":[14],"towards":[15],"complex":[16],"reasoning":[17,49,89],"as":[18,20],"well":[19],"scalability,":[21],"in":[22,30,66],"spite":[23],"limited":[25],"range":[26],"topics":[28],"covered":[29],"training":[31],"data.":[32],"this":[34],"paper,":[35],"we":[36,93],"introduce":[37],"Factual":[38],"Network,":[40],"which":[41],"learns":[42],"answer":[44,85],"questions":[45,63],"by":[46],"extracting":[47],"and":[48,64,90],"over":[50],"relevant":[51],"facts":[52],"from":[53],"a":[54,72,82],"Knowledge":[55],"Base.":[56],"Our":[57],"system":[58],"generate":[59],"distributed":[60],"representation":[61],"KB":[65],"same":[67],"word":[68],"vector":[69],"space,":[70],"extract":[71],"subset":[73],"initial":[75],"candidate":[76],"facts,":[77],"then":[78],"try":[79],"find":[81],"path":[83],"entity":[86],"using":[87,102],"multi-hop":[88],"refinement.":[91],"Additionally,":[92],"also":[94],"improve":[95],"run-time":[97],"efficiency":[98],"our":[100],"model":[101],"various":[103],"computational":[104],"heuristics.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
