{"id":"https://openalex.org/W2249610072","doi":"https://doi.org/10.3115/v1/n15-1151","title":"Multilingual Open Relation Extraction Using Cross-lingual Projection","display_name":"Multilingual Open Relation Extraction Using Cross-lingual Projection","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2249610072","doi":"https://doi.org/10.3115/v1/n15-1151","mag":"2249610072"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-1151","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1151","pdf_url":"https://doi.org/10.3115/v1/n15-1151","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/n15-1151","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014855689","display_name":"Manaal Faruqui","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Manaal Faruqui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101051347","display_name":"Shankar Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shankar Kumar","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014855689"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.2174,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.98402427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1351","last_page":"1356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T13629","display_name":"Text Readability and Simplification","score":0.9940000176429749,"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":0.8644698858261108},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.8068708777427673},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7699114084243774},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.6518969535827637},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6379368305206299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6255998611450195},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6082403063774109},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5418776273727417},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5117866396903992},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.502875030040741},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.41949886083602905},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.39177244901657104},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.25517362356185913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11407700181007385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8644698858261108},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.8068708777427673},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7699114084243774},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.6518969535827637},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6379368305206299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6255998611450195},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6082403063774109},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5418776273727417},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5117866396903992},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.502875030040741},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.41949886083602905},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.39177244901657104},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25517362356185913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11407700181007385}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/n15-1151","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1151","pdf_url":"https://doi.org/10.3115/v1/n15-1151","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-1151","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1151","pdf_url":"https://doi.org/10.3115/v1/n15-1151","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2249610072.pdf","grobid_xml":"https://content.openalex.org/works/W2249610072.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W56435837","https://openalex.org/W95553785","https://openalex.org/W1512387364","https://openalex.org/W2009591769","https://openalex.org/W2038516171","https://openalex.org/W2041319220","https://openalex.org/W2047295649","https://openalex.org/W2079442239","https://openalex.org/W2101105183","https://openalex.org/W2107598941","https://openalex.org/W2115057736","https://openalex.org/W2119168550","https://openalex.org/W2126539437","https://openalex.org/W2129842875","https://openalex.org/W2138627627","https://openalex.org/W2143954309","https://openalex.org/W2148721079","https://openalex.org/W2150588363","https://openalex.org/W2153199128","https://openalex.org/W2167187514","https://openalex.org/W2168419780","https://openalex.org/W2170716095","https://openalex.org/W2172167844","https://openalex.org/W2250225488","https://openalex.org/W2250332520","https://openalex.org/W2252133428"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1541975828","https://openalex.org/W2888625260","https://openalex.org/W3035970863","https://openalex.org/W4288558800","https://openalex.org/W2250525544"],"abstract_inverted_index":{"Open":[0],"domain":[1],"relation":[2,6,22,55],"extraction":[3,23],"systems":[4,24],"identify":[5],"and":[7,42,67,80],"argument":[8],"phrases":[9],"in":[10,83],"a":[11,47,62],"sentence":[12],"without":[13],"relying":[14],"on":[15,35,61,70],"any":[16],"underlying":[17],"schema.":[18],"However,":[19],"current":[20],"state-of-the-art":[21],"are":[25],"available":[26],"only":[27],"for":[28,52],"English":[29],"because":[30],"of":[31],"their":[32],"heavy":[33],"reliance":[34],"linguistic":[36],"tools":[37],"such":[38],"as":[39],"part-of-speech":[40],"taggers":[41],"dependency":[43],"parsers.":[44],"We":[45,57,75],"present":[46,68],"cross-lingual":[48],"annotation":[49],"projection":[50],"method":[51,60],"language":[53],"independent":[54],"extraction.":[56],"evaluate":[58],"our":[59],"manually":[63],"annotated":[64],"test":[65],"set":[66],"results":[69],"three":[71],"typologically":[72],"different":[73],"languages.":[74],"release":[76],"these":[77],"manual":[78],"annotations":[79],"extracted":[81],"relations":[82],"ten":[84],"languages":[85],"from":[86],"Wikipedia.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
