{"id":"https://openalex.org/W2138321806","doi":"https://doi.org/10.18653/v1/d13-1129","title":"Semi-Supervised Feature Transformation for Dependency Parsing","display_name":"Semi-Supervised Feature Transformation for Dependency Parsing","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2138321806","doi":"https://doi.org/10.18653/v1/d13-1129","mag":"2138321806"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1129","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1129","pdf_url":"https://aclanthology.org/D13-1129.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1129.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101847965","display_name":"Wenliang Chen","orcid":"https://orcid.org/0000-0001-5141-325X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenliang Chen","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402911","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-3895-5510"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333729","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-5214-2268"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1303","last_page":"1313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.988099992275238,"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":0.8345849514007568},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8045094013214111},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7786424160003662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7288267016410828},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7255990505218506},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5847880840301514},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5661932826042175},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5352485775947571},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.514917254447937},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4906443655490875},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42790746688842773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3789612948894501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345849514007568},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8045094013214111},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7786424160003662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7288267016410828},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7255990505218506},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5847880840301514},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5661932826042175},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5352485775947571},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.514917254447937},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4906443655490875},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42790746688842773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3789612948894501},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d13-1129","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1129","pdf_url":"https://aclanthology.org/D13-1129.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.592.8969","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.8969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1129.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1129","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1129","pdf_url":"https://aclanthology.org/D13-1129.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320334744","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2138321806.pdf","grobid_xml":"https://content.openalex.org/works/W2138321806.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W47641349","https://openalex.org/W181643614","https://openalex.org/W183066880","https://openalex.org/W194033037","https://openalex.org/W1491975949","https://openalex.org/W1598566484","https://openalex.org/W1632114991","https://openalex.org/W1773803948","https://openalex.org/W2027979924","https://openalex.org/W2052449326","https://openalex.org/W2104820387","https://openalex.org/W2114887620","https://openalex.org/W2116410915","https://openalex.org/W2119754473","https://openalex.org/W2122179236","https://openalex.org/W2124772738","https://openalex.org/W2126345236","https://openalex.org/W2128634885","https://openalex.org/W2134632846","https://openalex.org/W2135439442","https://openalex.org/W2138382875","https://openalex.org/W2139885235","https://openalex.org/W2154326713","https://openalex.org/W2161575515","https://openalex.org/W2167439141","https://openalex.org/W2172251087","https://openalex.org/W2251206760","https://openalex.org/W2252268838","https://openalex.org/W2569308312","https://openalex.org/W2729906263","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W2152075398","https://openalex.org/W2098784136","https://openalex.org/W287510790","https://openalex.org/W4241489294","https://openalex.org/W63925617","https://openalex.org/W2968543375","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W2953770453"],"abstract_inverted_index":{"In":[0],"current":[1],"dependency":[2],"parsing":[3],"models,":[4],"conventional":[5],"features":[6,54,57,72,78],"(i.e.base":[7],"features)":[8,59],"defined":[9],"over":[10],"surface":[11],"words":[12],"and":[13,29,96,100,117],"part-of-speech":[14],"tags":[15],"in":[16,79,92],"a":[17,42,64],"relatively":[18],"high-dimensional":[19],"feature":[20],"space":[21],"may":[22],"suffer":[23],"from":[24],"the":[25,48,52,61,106,110,114,121,126],"data":[26,95,102,116],"sparseness":[27],"problem":[28,49],"thus":[30],"exhibit":[31],"less":[32],"discriminative":[33],"power":[34],"on":[35,98,113,125],"unseen":[36,94],"data.In":[37],"this":[38],"paper,":[39],"we":[40],"propose":[41],"novel":[43],"semi-supervised":[44],"approach":[45,88],"to":[46],"addressing":[47],"by":[50],"transforming":[51],"base":[53,77],"into":[55],"high-level":[56],"(i.e.meta":[58],"with":[60,76,120],"help":[62],"of":[63,67],"large":[65],"amount":[66],"automatically":[68],"parsed":[69],"data.The":[70],"meta":[71],"are":[73],"used":[74],"together":[75],"our":[80,86],"final":[81,107],"parser.Our":[82],"studies":[83],"indicate":[84],"that":[85,105],"proposed":[87],"is":[89],"very":[90],"effective":[91],"processing":[93],"features.Experiments":[97],"Chinese":[99,115],"English":[101,127],"sets":[103],"show":[104],"parser":[108],"achieves":[109],"best-reported":[111],"accuracy":[112,119],"comparable":[118],"best":[122],"known":[123],"parsers":[124],"data.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
