{"id":"https://openalex.org/W4293248078","doi":"https://doi.org/10.1145/3539813.3545146","title":"Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering","display_name":"Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4293248078","doi":"https://doi.org/10.1145/3539813.3545146"},"language":"en","primary_location":{"id":"doi:10.1145/3539813.3545146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539813.3545146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},"type":"article","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/A5027979875","display_name":"Trond Linjordet","orcid":"https://orcid.org/0000-0002-3889-7840"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Trond Linjordet","raw_affiliation_strings":["University of Stavanger, Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059926999","display_name":"Krisztian Balog","orcid":"https://orcid.org/0000-0003-2762-721X"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Krisztian Balog","raw_affiliation_strings":["University of Stavanger, Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044722424","display_name":"Vinay Setty","orcid":"https://orcid.org/0000-0002-9777-6758"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Vinay Setty","raw_affiliation_strings":["University of Stavanger, Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger, Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027979875"],"corresponding_institution_ids":["https://openalex.org/I92008406"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08562691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"12"},"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9955999851226807,"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":0.846347451210022},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6336371898651123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5906569957733154},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.561471700668335},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.5611009001731873},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5175480246543884},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4756562113761902},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4723659157752991},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.4671812653541565},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4604203999042511},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.45991411805152893},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4506899118423462},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4136230945587158},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.28326085209846497},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2054644525051117},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.19462361931800842},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1808377206325531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.846347451210022},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6336371898651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5906569957733154},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.561471700668335},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.5611009001731873},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5175480246543884},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4756562113761902},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4723659157752991},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.4671812653541565},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4604203999042511},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.45991411805152893},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4506899118423462},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4136230945587158},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.28326085209846497},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2054644525051117},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.19462361931800842},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1808377206325531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.1145/3539813.3545146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539813.3545146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W80422862","https://openalex.org/W1902237438","https://openalex.org/W1981419611","https://openalex.org/W2014364160","https://openalex.org/W2063853488","https://openalex.org/W2065702061","https://openalex.org/W2072240081","https://openalex.org/W2149741699","https://openalex.org/W2153225416","https://openalex.org/W2566402689","https://openalex.org/W2741609678","https://openalex.org/W2741796069","https://openalex.org/W2756726346","https://openalex.org/W2759200442","https://openalex.org/W2763039547","https://openalex.org/W2804290038","https://openalex.org/W2887234070","https://openalex.org/W2891420675","https://openalex.org/W2902032968","https://openalex.org/W2913668833","https://openalex.org/W2930957955","https://openalex.org/W2933965843","https://openalex.org/W2955792106","https://openalex.org/W2962745909","https://openalex.org/W2962784628","https://openalex.org/W2963748441","https://openalex.org/W2963794306","https://openalex.org/W2964120615","https://openalex.org/W2970293467","https://openalex.org/W2970723181","https://openalex.org/W2971801677","https://openalex.org/W2974133468","https://openalex.org/W2980401255","https://openalex.org/W2980737818","https://openalex.org/W3028964516","https://openalex.org/W3029624308","https://openalex.org/W3083376297","https://openalex.org/W3102714556","https://openalex.org/W3120503433","https://openalex.org/W3120915586","https://openalex.org/W3128120479","https://openalex.org/W3165875610","https://openalex.org/W3177441518","https://openalex.org/W3190271517","https://openalex.org/W3199097559","https://openalex.org/W3203787185","https://openalex.org/W3211142893","https://openalex.org/W4213009331","https://openalex.org/W4293004632","https://openalex.org/W4299551239","https://openalex.org/W4300410021"],"related_works":["https://openalex.org/W2038821533","https://openalex.org/W1993638553","https://openalex.org/W2295889387","https://openalex.org/W76044956","https://openalex.org/W129667569","https://openalex.org/W3142934089","https://openalex.org/W2528665947","https://openalex.org/W2764264137","https://openalex.org/W2226235235","https://openalex.org/W4297737180"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1],"question":[2,35],"answering":[3],"(KGQA)":[4],"is":[5,41,50],"important":[6],"to":[7,36,101,123],"make":[8],"structured":[9],"information":[10,61],"accessible":[11],"without":[12,71],"formal":[13,38],"query":[14,39],"language":[15,34],"expertise":[16],"on":[17,93],"the":[18,21,74,99,143],"part":[19],"of":[20,28,77,105,118,145],"users.":[22],"The":[23,47,140],"semantic":[24],"parsing":[25],"(SP)":[26],"flavor":[27],"this":[29,67],"task":[30,49],"maps":[31],"a":[32,37,94,103],"natural":[33],"that":[40,115],"machine":[42,64,137],"executable,":[43],"such":[44,59],"as":[45,60],"SPARQL.":[46],"SP-KGQA":[48,78,90,108,125,148],"currently":[51],"evaluated":[52],"by":[53],"adopting":[54],"measures":[55,91,109,120],"from":[56],"other":[57],"tasks,":[58],"retrieval":[62],"and":[63,110,134],"translation.":[65],"However,":[66],"adoption":[68],"typically":[69],"occurs":[70],"fully":[72],"considering":[73],"desired":[75],"behavior":[76],"systems.":[79],"To":[80],"address":[81],"this,":[82],"we":[83],"articulate":[84],"task-specific":[85],"desiderata,":[86],"then":[87],"develop":[88],"novel":[89],"based":[92],"probabilistic":[95],"framework.":[96],"We":[97,127],"use":[98],"desiderata":[100],"formulate":[102],"set":[104],"axioms":[106],"for":[107],"conduct":[111],"an":[112],"axiomatic":[113],"analysis":[114],"reveals":[116],"insufficiencies":[117],"established":[119],"previously":[121],"used":[122],"report":[124],"performance.":[126],"also":[128],"perform":[129],"experimental":[130],"evaluations,":[131],"using":[132],"synthetic":[133],"state-of-the-art":[135],"neural":[136],"translation":[138],"approaches.":[139],"results":[141],"highlight":[142],"importance":[144],"grounded":[146],"alternative":[147],"measures.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
