{"id":"https://openalex.org/W4412376910","doi":"https://doi.org/10.1145/3726302.3730252","title":"System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages","display_name":"System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376910","doi":"https://doi.org/10.1145/3726302.3730252"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730252","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730252","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730252","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730252","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046377370","display_name":"Paul Thomas","orcid":"https://orcid.org/0000-0003-2425-3136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Thomas","raw_affiliation_strings":["Microsoft, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2425-3136","affiliations":[{"raw_affiliation_string":"Microsoft, Adelaide, SA, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074322406","display_name":"Douglas W. Oard","orcid":"https://orcid.org/0000-0002-1696-0407"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas W. Oard","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-1696-0407","affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062016266","display_name":"Eugene Yang","orcid":"https://orcid.org/0000-0002-0051-1535"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Yang","raw_affiliation_strings":["Johns Hopkins University HLTCOE, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-0051-1535","affiliations":[{"raw_affiliation_string":"Johns Hopkins University HLTCOE, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037074105","display_name":"Dawn Lawrie","orcid":"https://orcid.org/0000-0001-7347-7086"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dawn Lawrie","raw_affiliation_strings":["Johns Hopkins University HLTCOE, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0001-7347-7086","affiliations":[{"raw_affiliation_string":"Johns Hopkins University HLTCOE, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036270568","display_name":"James Mayfield","orcid":"https://orcid.org/0000-0003-3866-3013"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Mayfield","raw_affiliation_strings":["Johns Hopkins University HLTCOE, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-3866-3013","affiliations":[{"raw_affiliation_string":"Johns Hopkins University HLTCOE, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.346,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91993087,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2812","last_page":"2816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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/T13083","display_name":"Advanced Text Analysis Techniques","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/relevance","display_name":"Relevance (law)","score":0.7914626002311707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828040719032288},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5964101552963257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4540184736251831},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4283926486968994}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7914626002311707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828040719032288},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5964101552963257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4540184736251831},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4283926486968994},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730252","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730252","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730252","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730252","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730252","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730252","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376910.pdf","grobid_xml":"https://content.openalex.org/works/W4412376910.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1966835268","https://openalex.org/W1983595289","https://openalex.org/W1985514943","https://openalex.org/W2007671364","https://openalex.org/W2019029324","https://openalex.org/W2021581601","https://openalex.org/W2036887984","https://openalex.org/W2038619519","https://openalex.org/W2053100920","https://openalex.org/W2053154970","https://openalex.org/W2057495142","https://openalex.org/W2073562093","https://openalex.org/W2120308175","https://openalex.org/W2740069864","https://openalex.org/W4234071252","https://openalex.org/W4321649502","https://openalex.org/W4366460536","https://openalex.org/W4384107234","https://openalex.org/W4399597806","https://openalex.org/W4400526908","https://openalex.org/W4405107143","https://openalex.org/W6720392301","https://openalex.org/W6869532514"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2,112],"shown":[3],"that":[4,16,52,86,122],"Large":[5],"Language":[6],"Models":[7],"(LLMs)":[8],"can":[9,54,127],"produce":[10,56],"relevance":[11,38,98],"judgements":[12,39],"for":[13,22,114],"English":[14],"retrieval":[15,42],"are":[17,70,109],"useful":[18],"as":[19],"a":[20,72],"basis":[21],"system":[23],"comparison,":[24],"and":[25,40,82,99,106,124],"they":[26],"do":[27],"so":[28],"at":[29],"vastly":[30],"reduced":[31],"cost":[32],"compared":[33],"to":[34],"human":[35,94],"assessors.":[36],"Using":[37],"ranked":[41],"runs":[43],"from":[44,75],"the":[45,64,68,76,115],"TREC":[46],"NeuCLIR":[47],"track,":[48],"this":[49],"paper":[50],"shows":[51],"LLMs":[53],"also":[55],"reliable":[57],"assessments":[58],"in":[59,71,130],"other":[60],"languages,":[61],"even":[62],"when":[63],"topic":[65,125],"description":[66],"or":[67],"prompt":[69],"language":[73,89],"different":[74],"documents.":[77],"Results":[78],"with":[79,93],"Chinese,":[80],"Persian":[81],"Russian":[83],"documents":[84],"show":[85],"although":[87],"document":[88],"affects":[90],"both":[91],"agreement":[92],"assessors":[95],"on":[96,100],"graded":[97],"preference":[101],"ordering":[102],"among":[103],"systems,":[104],"prompt-language":[105],"topic-language":[107],"effects":[108],"negligible.":[110],"This":[111],"implications":[113],"design":[116],"of":[117],"multilingual":[118],"test":[119],"collections,":[120],"suggesting":[121],"prompts":[123],"descriptions":[126],"be":[128],"developed":[129],"any":[131],"convenient":[132],"language.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}