{"id":"https://openalex.org/W2954573505","doi":"https://doi.org/10.1145/3331184.3331324","title":"Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval","display_name":"Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2954573505","doi":"https://doi.org/10.1145/3331184.3331324","mag":"2954573505"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331324","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17863/cam.45164","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076365848","display_name":"Robert Litschko","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Litschko","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079336821","display_name":"Goran Glava\u009a\u0161","orcid":"https://orcid.org/0000-0002-1301-6314"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Goran Glava\u0161","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014866912","display_name":"Ivan Vuli\u0107","orcid":"https://orcid.org/0000-0002-5161-5422"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ivan Vulic","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027260515","display_name":"Laura Dietz","orcid":"https://orcid.org/0000-0003-1624-3907"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Dietz","raw_affiliation_strings":["University of New Hampshire, Durham, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1691,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.90613729,"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":"1109","last_page":"1112"},"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":0.9998999834060669,"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":0.9972000122070312,"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":0.8105854988098145},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7155424356460571},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6443228125572205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5870121121406555},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.530256450176239},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5196917653083801},{"id":"https://openalex.org/keywords/cross-language-information-retrieval","display_name":"Cross-language information retrieval","score":0.5141966342926025},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.45936909317970276},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4517388641834259},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4474841058254242},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3998922109603882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105854988098145},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7155424356460571},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6443228125572205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5870121121406555},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.530256450176239},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5196917653083801},{"id":"https://openalex.org/C2778842860","wikidata":"https://www.wikidata.org/wiki/Q986551","display_name":"Cross-language information retrieval","level":3,"score":0.5141966342926025},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.45936909317970276},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4517388641834259},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4474841058254242},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3998922109603882},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3331184.3331324","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:60726","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.1145/3331184.3331324","pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/298107","is_oa":false,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/298107","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"doi:10.17863/cam.45164","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.45164","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.17863/cam.45164","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.45164","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W342285082","https://openalex.org/W2068297964","https://openalex.org/W2126725946","https://openalex.org/W2142074148","https://openalex.org/W2250434988","https://openalex.org/W2250741688","https://openalex.org/W2251033195","https://openalex.org/W2294774419","https://openalex.org/W2471692228","https://openalex.org/W2537515450","https://openalex.org/W2606243775","https://openalex.org/W2887838996","https://openalex.org/W2891896107","https://openalex.org/W2952190837","https://openalex.org/W2963118869","https://openalex.org/W2963617771","https://openalex.org/W2964266061"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3011059803","https://openalex.org/W2037549926","https://openalex.org/W2375873920","https://openalex.org/W3151736118","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2597655663"],"abstract_inverted_index":{"Cross-lingual":[0],"embeddings":[1],"(CLE)":[2],"facilitate":[3],"cross-lingual":[4,70],"natural":[5],"language":[6],"processing":[7],"and":[8,37,68],"information":[9],"retrieval.":[10],"Recently,":[11],"a":[12,57,99],"wide":[13],"variety":[14],"of":[15,61],"resource-lean":[16,80],"projection-based":[17,62],"models":[18,42,64,83,87],"for":[19,65,101,106],"inducing":[20],"CLEs":[21],"has":[22],"been":[23,46],"introduced,":[24],"requiring":[25],"limited":[26],"or":[27],"no":[28],"bilingual":[29],"supervision.":[30],"Despite":[31],"potential":[32],"usefulness":[33],"in":[34,77],"downstream":[35],"IR":[36],"NLP":[38],"tasks,":[39],"these":[40],"CLE":[41,63],"have":[43],"almost":[44],"exclusively":[45],"evaluated":[47],"on":[48],"word":[49],"translation":[50,91],"tasks.":[51],"In":[52],"this":[53],"work,":[54],"we":[55],"provide":[56],"comprehensive":[58],"comparative":[59],"evaluation":[60],"both":[66],"sentence-level":[67],"document-level":[69],"Information":[71],"Retrieval":[72],"(CLIR).":[73],"We":[74,93],"show":[75],"that":[76],"some":[78],"settings":[79],"CLE-based":[81],"CLIR":[82,107],"may":[84],"outperform":[85],"resource-intensive":[86],"using":[88],"full-blown":[89],"machine":[90],"(MT).":[92],"hope":[94],"our":[95],"work":[96],"serves":[97],"as":[98],"guideline":[100],"choosing":[102],"the":[103],"right":[104],"model":[105],"practitioners.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
