{"id":"https://openalex.org/W2740389991","doi":"https://doi.org/10.18653/v1/k17-1035","title":"The Covert Helps Parse the Overt","display_name":"The Covert Helps Parse the Overt","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740389991","doi":"https://doi.org/10.18653/v1/k17-1035","mag":"2740389991"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k17-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-1035","pdf_url":"https://www.aclweb.org/anthology/K17-1035.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 21st Conference on Computational Natural Language Learning (CoNLL 2017)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K17-1035.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035358896","display_name":"Xun Zhang","orcid":"https://orcid.org/0000-0002-5502-2974"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Xun Zhang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053290799","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-4196-8600"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029568096","display_name":"Xiaojun Wan","orcid":"https://orcid.org/0000-0001-6887-1994"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Xiaojun Wan","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"343","last_page":"353"},"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9847999811172485,"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/parsing","display_name":"Parsing","score":0.859699547290802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8178709745407104},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7648425698280334},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.663209855556488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6351824402809143},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.6162786483764648},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.6091357469558716},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5857189297676086},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.5501969456672668},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5341668725013733},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5151923298835754},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.5080881118774414},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.5046364068984985},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.47447851300239563},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08222988247871399}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.859699547290802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178709745407104},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7648425698280334},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.663209855556488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351824402809143},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.6162786483764648},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.6091357469558716},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5857189297676086},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5501969456672668},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5341668725013733},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5151923298835754},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.5080881118774414},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.5046364068984985},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.47447851300239563},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08222988247871399},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/k17-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-1035","pdf_url":"https://www.aclweb.org/anthology/K17-1035.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 21st Conference on Computational Natural Language Learning (CoNLL 2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/k17-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-1035","pdf_url":"https://www.aclweb.org/anthology/K17-1035.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 21st Conference on Computational Natural Language Learning (CoNLL 2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4092394380","display_name":null,"funder_award_id":"2015AA015403","funder_id":"https://openalex.org/F4320335773","funder_display_name":"National High-tech Research and Development Program"},{"id":"https://openalex.org/G4243412236","display_name":null,"funder_award_id":"863 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5182775224","display_name":"\u8de8\u8bed\u8a00\u793e\u4f1a\u8206\u60c5\u5206\u6790\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61331011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7756186731","display_name":null,"funder_award_id":"2015AA015403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740389991.pdf","grobid_xml":"https://content.openalex.org/works/W2740389991.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W13173216","https://openalex.org/W20450839","https://openalex.org/W52985019","https://openalex.org/W181643614","https://openalex.org/W194033037","https://openalex.org/W759515131","https://openalex.org/W1508977358","https://openalex.org/W1567277581","https://openalex.org/W1572215484","https://openalex.org/W1586060904","https://openalex.org/W1632114991","https://openalex.org/W1903393809","https://openalex.org/W1965893653","https://openalex.org/W1969245183","https://openalex.org/W2008652694","https://openalex.org/W2032527312","https://openalex.org/W2038248725","https://openalex.org/W2052449326","https://openalex.org/W2096204319","https://openalex.org/W2105847779","https://openalex.org/W2108999232","https://openalex.org/W2110416098","https://openalex.org/W2111889471","https://openalex.org/W2119035792","https://openalex.org/W2122922578","https://openalex.org/W2140270230","https://openalex.org/W2142603219","https://openalex.org/W2251641918","https://openalex.org/W2251837567","https://openalex.org/W2251883335","https://openalex.org/W2423636506","https://openalex.org/W2950415592","https://openalex.org/W2963572611"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W3088470625","https://openalex.org/W3035970863","https://openalex.org/W2250574586","https://openalex.org/W2389755172","https://openalex.org/W2058621701","https://openalex.org/W2152451097","https://openalex.org/W2914096745","https://openalex.org/W1500431650","https://openalex.org/W853712002"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,49],"concerned":[3],"with":[4,13,75,84,102],"whether":[5],"deep":[6],"syntactic":[7],"information":[8,39,48],"can":[9],"help":[10],"surface":[11,113],"parsing,":[12],"a":[14,57],"particular":[15],"focus":[16],"on":[17,43,97],"empty":[18,30,41,87,109],"categories.":[19],"We":[20],"design":[21],"new":[22],"algorithms":[23],"to":[24,51,80],"produce":[25],"dependency":[26],"trees":[27],"in":[28,56],"which":[29],"elements":[31,110],"are":[32],"allowed,":[33],"and":[34,68,85,89,99],"evaluate":[35],"the":[36,53,63,70],"impact":[37],"of":[38],"about":[40],"category":[42],"parsing":[44,59,104],"overt":[45],"elements.":[46],"Such":[47],"helpful":[50],"reduce":[52],"approximation":[54],"error":[55],"structured":[58],"model,":[60],"but":[61],"increases":[62],"search":[64],"space":[65],"for":[66],"inference":[67],"accordingly":[69],"estimation":[71],"error.":[72],"To":[73],"deal":[74],"structure-based":[76],"overfitting,":[77],"we":[78],"propose":[79],"integrate":[81],"disambiguation":[82],"models":[83,105],"without":[86],"elements,":[88],"perform":[90],"structure":[91],"regularization":[92],"via":[93],"joint":[94],"decoding.":[95],"Experiments":[96],"English":[98],"Chinese":[100],"TreeBanks":[101],"different":[103],"indicate":[106],"that":[107],"incorporating":[108],"consistently":[111],"improves":[112],"parsing.":[114]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
