{"id":"https://openalex.org/W2038516171","doi":"https://doi.org/10.1145/2396761.2398411","title":"Crosslingual distant supervision for extracting relations of different complexity","display_name":"Crosslingual distant supervision for extracting relations of different complexity","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2038516171","doi":"https://doi.org/10.1145/2396761.2398411","mag":"2038516171"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5023397694","display_name":"Andr\u00e9 Blessing","orcid":"https://orcid.org/0000-0001-7573-578X"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andre Blessing","raw_affiliation_strings":["Universit\u00e4t Stuttgart, Stuttgart, Germany","Universitat Stuttgart, Stuttgart, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Universitat Stuttgart, Stuttgart, Germany#TAB#","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071144367","display_name":"Hinrich Sch\u00fctze","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hinrich Sch\u00fctze","raw_affiliation_strings":["Universit\u00e4t Stuttgart, Stuttgart, Germany","Universitat Stuttgart, Stuttgart, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Universitat Stuttgart, Stuttgart, Germany#TAB#","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023397694"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":2.1407,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88326301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1123","last_page":"1132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9969000220298767,"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":0.7512737512588501},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.6865012049674988},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6274901032447815},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.538773238658905},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5224206447601318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.51543128490448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3276519179344177},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2211143970489502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512737512588501},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.6865012049674988},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6274901032447815},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.538773238658905},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5224206447601318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51543128490448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3276519179344177},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2211143970489502},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W14574270","https://openalex.org/W14903747","https://openalex.org/W23177027","https://openalex.org/W102708294","https://openalex.org/W128638292","https://openalex.org/W316763119","https://openalex.org/W1490022694","https://openalex.org/W1522263329","https://openalex.org/W1554540371","https://openalex.org/W1571200267","https://openalex.org/W1578835049","https://openalex.org/W1604644367","https://openalex.org/W1954715867","https://openalex.org/W1965442176","https://openalex.org/W1986398135","https://openalex.org/W1999897823","https://openalex.org/W2022166150","https://openalex.org/W2026051344","https://openalex.org/W2053238041","https://openalex.org/W2055289026","https://openalex.org/W2094728533","https://openalex.org/W2096797897","https://openalex.org/W2106310992","https://openalex.org/W2107598941","https://openalex.org/W2108604762","https://openalex.org/W2123958887","https://openalex.org/W2125972432","https://openalex.org/W2126539437","https://openalex.org/W2133685497","https://openalex.org/W2138477841","https://openalex.org/W2141891248","https://openalex.org/W2142086811","https://openalex.org/W2145453687","https://openalex.org/W2150588363","https://openalex.org/W2161494021","https://openalex.org/W2163780445","https://openalex.org/W2181629536","https://openalex.org/W2250389936","https://openalex.org/W2251419334","https://openalex.org/W2600566248","https://openalex.org/W2605819221","https://openalex.org/W2612560781","https://openalex.org/W2612972698","https://openalex.org/W2904336621","https://openalex.org/W2989631226","https://openalex.org/W6680019509","https://openalex.org/W6685530852","https://openalex.org/W6903044789"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W2981341912","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W4221160509","https://openalex.org/W2547211086","https://openalex.org/W2538200646","https://openalex.org/W2888033806","https://openalex.org/W4385734297"],"abstract_inverted_index":{"We":[0],"propose":[1],"crosslingual":[2,60,72],"distant":[3],"supervision":[4],"(crosslingual":[5],"DS)":[6],"for":[7,20,64],"relation":[8,78],"extraction,":[9],"an":[10],"approach":[11,28,81],"that":[12,71],"automatically":[13,51],"extracts":[14],"labels":[15,42,53,56],"from":[16],"a":[17],"pivot":[18],"language":[19,41,83],"labeling":[21],"one":[22],"or":[23],"more":[24],"target":[25,40],"languages.":[26],"The":[27],"has":[29],"two":[30,65],"benefits":[31],"compared":[32],"to":[33,89],"standard":[34],"DS:":[35],"(i)":[36],"increased":[37],"coverage":[38],"if":[39],"are":[43,57],"not":[44],"available;":[45],"and":[46,96],"(ii)":[47],"higher":[48],"accuracy":[49,76],"of":[50,67,77],"generated":[52],"because":[54],"noisy":[55],"eliminated":[58],"in":[59],"filtering.":[61],"An":[62],"evaluation":[63],"relations":[66],"different":[68,91],"complexity":[69],"shows":[70],"DS":[73],"increases":[74],"the":[75],"extraction.":[79],"Our":[80],"is":[82],"independent;":[84],"we":[85],"successfully":[86],"apply":[87],"it":[88],"four":[90],"languages:":[92],"Chinese,":[93],"English,":[94],"French":[95],"German.":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
