{"id":"https://openalex.org/W4360831820","doi":"https://doi.org/10.1145/3543873.3587651","title":"GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering","display_name":"GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering","publication_year":2023,"publication_date":"2023-04-28","ids":{"openalex":"https://openalex.org/W4360831820","doi":"https://doi.org/10.1145/3543873.3587651"},"language":"en","primary_location":{"id":"doi:10.1145/3543873.3587651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"preprint","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/A5047827880","display_name":"Dhaval Taunk","orcid":"https://orcid.org/0000-0001-7144-4520"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dhaval Taunk","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-7144-4520","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053109550","display_name":"Lakshya Khanna","orcid":"https://orcid.org/0009-0000-7957-4397"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lakshya Khanna","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0009-0000-7957-4397","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098085143","display_name":"Siri Venkata Pavan Kumar Kandru","orcid":"https://orcid.org/0009-0000-8025-4948"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siri Venkata Pavan Kumar Kandru","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0009-0000-8025-4948","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073786634","display_name":"Vasudeva Varma","orcid":"https://orcid.org/0000-0003-1923-1725"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasudeva Varma","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0000-0003-1923-1725","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101841889","display_name":"Charu Sharma","orcid":"https://orcid.org/0000-0003-2518-5008"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Charu Sharma","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0000-0003-2518-5008","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003125633","display_name":"Makarand Tapaswi","orcid":"https://orcid.org/0000-0001-8800-9015"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Makarand Tapaswi","raw_affiliation_strings":["International Institute of Information Technology, India"],"raw_orcid":"https://orcid.org/0000-0001-8800-9015","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, India","institution_ids":["https://openalex.org/I188963388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5047827880"],"corresponding_institution_ids":["https://openalex.org/I188963388"],"apc_list":null,"apc_paid":null,"fwci":2.4875,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91035661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1138","last_page":"1144"},"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":0.996399998664856,"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":0.9950000047683716,"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":0.7676308155059814},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7376364469528198},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5982420444488525},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.595659077167511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5820748805999756},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5157680511474609},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.49964165687561035},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4908483624458313},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.457421213388443},{"id":"https://openalex.org/keywords/expressive-power","display_name":"Expressive power","score":0.4281913638114929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38826075196266174},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3431570529937744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7676308155059814},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7376364469528198},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5982420444488525},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.595659077167511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5820748805999756},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5157680511474609},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.49964165687561035},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4908483624458313},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.457421213388443},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.4281913638114929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38826075196266174},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3431570529937744},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543873.3587651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2094728533","https://openalex.org/W2143017621","https://openalex.org/W2561529111","https://openalex.org/W2604314403","https://openalex.org/W2735783190","https://openalex.org/W2963895422","https://openalex.org/W3162922479","https://openalex.org/W6600079452","https://openalex.org/W6600280466","https://openalex.org/W6628107832","https://openalex.org/W6675559485","https://openalex.org/W6679942958","https://openalex.org/W6831648768","https://openalex.org/W6959643953"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3204607391","https://openalex.org/W2964413124","https://openalex.org/W3113264705"],"abstract_inverted_index":{"Commonsense":[0],"question-answering":[1],"(QA)":[2],"methods":[3],"combine":[4],"the":[5,13,27,59,62,65,69,76,89,102,107,114,128],"power":[6],"of":[7],"pre-trained":[8],"Language":[9],"Models":[10],"(LM)":[11],"with":[12,84,109],"reasoning":[14,41],"provided":[15],"by":[16,40],"Knowledge":[17],"Graphs":[18],"(KG).":[19],"A":[20],"typical":[21],"approach":[22],"collects":[23],"nodes":[24,74,122],"relevant":[25,98,126],"to":[26,33,56,127],"QA":[28,63,103,129],"pair":[29,104],"from":[30,61,75,101,113],"a":[31,35],"KG":[32,151],"form":[34],"Working":[36],"Graph":[37,43,95],"(WG)":[38],"followed":[39],"using":[42],"Neural":[44],"Networks":[45],"(GNNs).":[46],"This":[47],"faces":[48],"two":[49,85],"major":[50],"challenges:":[51],"(i)":[52,91],"it":[53],"is":[54],"difficult":[55],"capture":[57],"all":[58],"information":[60],"in":[64,154],"WG,":[66],"and":[67,105,116,138,140,156],"(ii)":[68,117],"WG":[70,108],"contains":[71],"some":[72],"irrelevant":[73],"KG.":[77],"To":[78],"address":[79],"these,":[80],"we":[81],"propose":[82],"GrapeQA":[83,143],"simple":[86],"improvements":[87,146,158],"on":[88,135,159],"WG:":[90],"Prominent":[92],"Entities":[93],"for":[94],"Augmentation":[96],"identifies":[97],"text":[99],"chunks":[100],"augments":[106],"corresponding":[110],"latent":[111],"representations":[112],"LM,":[115],"Context-Aware":[118],"Node":[119],"Pruning":[120],"removes":[121],"that":[123,142],"are":[124],"less":[125],"pair.":[130],"We":[131],"evaluate":[132],"our":[133],"results":[134],"OpenBookQA,":[136],"CommonsenseQA":[137],"MedQA-USMLE":[139],"see":[141],"shows":[144],"consistent":[145],"over":[147],"its":[148],"LM":[149],"+":[150],"predecessor":[152],"(QA-GNN":[153],"particular)":[155],"large":[157],"OpenBookQA.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}