{"id":"https://openalex.org/W2171082019","doi":"https://doi.org/10.3115/v1/w14-1613","title":"Distributed Word Representation Learning for Cross-Lingual Dependency Parsing","display_name":"Distributed Word Representation Learning for Cross-Lingual Dependency Parsing","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2171082019","doi":"https://doi.org/10.3115/v1/w14-1613","mag":"2171082019"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-1613","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1613","pdf_url":"https://aclanthology.org/W14-1613.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-1613.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025795866","display_name":"Min Xiao","orcid":"https://orcid.org/0000-0002-2312-6867"},"institutions":[{"id":"https://openalex.org/I2801004183","display_name":"Temple College","ror":"https://ror.org/038s1ax16","country_code":"US","type":"education","lineage":["https://openalex.org/I2801004183"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Xiao","raw_affiliation_strings":["Temple University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temple University","institution_ids":["https://openalex.org/I2801004183","https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043824291","display_name":"Yuhong Guo","orcid":"https://orcid.org/0000-0002-7621-342X"},"institutions":[{"id":"https://openalex.org/I2801004183","display_name":"Temple College","ror":"https://ror.org/038s1ax16","country_code":"US","type":"education","lineage":["https://openalex.org/I2801004183"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhong Guo","raw_affiliation_strings":["Temple University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temple University","institution_ids":["https://openalex.org/I2801004183","https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7896,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.97376723,"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":"119","last_page":"129"},"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":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/T11550","display_name":"Text and Document Classification Technologies","score":0.9883999824523926,"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":0.8825098276138306},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.8249562978744507},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.8149685859680176},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7707517147064209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7462248206138611},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6731497049331665},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6361621618270874},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5244127511978149},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5125277042388916},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.4303135871887207},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11858877539634705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8825098276138306},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.8249562978744507},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.8149685859680176},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7707517147064209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7462248206138611},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6731497049331665},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6361621618270874},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5244127511978149},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5125277042388916},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.4303135871887207},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11858877539634705},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/w14-1613","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1613","pdf_url":"https://aclanthology.org/W14-1613.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.6829","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.6829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.temple.edu/%7Eyuhong/research/papers/conll14.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.6152","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.6152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://anthology.aclweb.org/W/W14/W14-1613.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-1613","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1613","pdf_url":"https://aclanthology.org/W14-1613.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2171082019.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W1480087371","https://openalex.org/W1818534184","https://openalex.org/W1894835849","https://openalex.org/W1999993003","https://openalex.org/W2027979924","https://openalex.org/W2079442239","https://openalex.org/W2096550403","https://openalex.org/W2098050104","https://openalex.org/W2098830640","https://openalex.org/W2115774663","https://openalex.org/W2116410915","https://openalex.org/W2117130368","https://openalex.org/W2118090838","https://openalex.org/W2121538771","https://openalex.org/W2122922578","https://openalex.org/W2128342468","https://openalex.org/W2128791906","https://openalex.org/W2139235472","https://openalex.org/W2141891248","https://openalex.org/W2143954309","https://openalex.org/W2143995218","https://openalex.org/W2148894869","https://openalex.org/W2149337887","https://openalex.org/W2151942821","https://openalex.org/W2152087696","https://openalex.org/W2152691628","https://openalex.org/W2153199128","https://openalex.org/W2156064360","https://openalex.org/W2158139315","https://openalex.org/W2158899491","https://openalex.org/W2164196204","https://openalex.org/W2165256480","https://openalex.org/W2171860752","https://openalex.org/W2250415202","https://openalex.org/W2251033195","https://openalex.org/W2251435463","https://openalex.org/W2569308312","https://openalex.org/W3028642772"],"related_works":["https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W2953770453","https://openalex.org/W3035970863","https://openalex.org/W3088470625","https://openalex.org/W2389755172","https://openalex.org/W2152451097","https://openalex.org/W2571817549"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"to":[3,8,15,47,63,91,107,150],"learn":[4],"language-independent":[5],"word":[6,86,142],"representations":[7],"ad-dress":[9],"cross-lingual":[10,124,138],"dependency":[11,18,30,95,125],"parsing,":[12],"which":[13,60],"aims":[14],"predict":[16],"the":[17,24,72,83,101,108,113,116,136,141,146],"parsing":[19],"trees":[20],"for":[21],"sentences":[22,34,43,99],"in":[23,100],"target":[25,109],"language":[26,103],"by":[27,145],"training":[28],"a":[29,36,55,93],"parser":[31,96],"with":[32,128],"labeled":[33,98],"from":[35,44],"source":[37,102],"lan-guage.":[38],"We":[39,80],"first":[40],"combine":[41],"all":[42],"both":[45],"languages":[46],"induce":[48],"real-valued":[49],"distributed":[50],"representation":[51,87,143],"of":[52,67,115,140],"words":[53,68],"under":[54],"deep":[56],"neural":[57],"network":[58],"architecture,":[59],"is":[61],"expected":[62],"capture":[64],"semantic":[65],"similari-ties":[66],"not":[69],"only":[70],"within":[71],"same":[73],"lan-guage":[74],"but":[75],"also":[76],"across":[77],"different":[78,130],"languages.":[79,131],"then":[81],"use":[82],"induced":[84,144],"interlingual":[85],"as":[88],"augmenting":[89],"features":[90],"train":[92],"delexicalized":[94],"on":[97,123],"and":[104],"apply":[105],"it":[106],"sentences.":[110],"To":[111],"in-vestigate":[112],"effectiveness":[114],"proposed":[117,147],"technique,":[118],"extensive":[119],"experiments":[120],"are":[121],"con-ducted":[122],"pars-ing":[126],"tasks":[127],"nine":[129],"The":[132],"experimental":[133],"results":[134],"demonstrate":[135],"superior":[137],"generalizability":[139],"approach,":[148],"comparing":[149],"alterna-tive":[151],"comparison":[152],"methods.":[153],"1":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
