{“id”:“https://openalex.org/W2962731964“,”doi“:”https://doi.org/10.18653/v1/p17-1186“,”title“:”Deep Multi-task Learning for Semantic Dependency Parsing“,”display_name“:”Deep Multi task Learning for语义依赖分析“,”publication_year“:2017,”publiation_date“:”2017-01-01“,”ids“:{”openalex“:”https://openalex.org/W2962731964“,”doi“:”https://doi.org/10.18653/v1/p17-1186“,”mag“:”2962731964“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.18653/v1/p17-1186,“pdf_url”:https://www.aclweb.org/antology/P17-1186.pdf“,”source“:null,”license“:”cc-by“,”licence_id“:”https://openalex.org/licenses/cc-by“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”type“:”preprint“,”type_crossref“:“proceedings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:true,”oa_status“:”hybrid“,”oa_url“:”https://www.aclweb.org/antology/P17-1186.pdf“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5079854850“,”display_name“:”郝鹏“,”兽人“:”https://orcid.org/0000-0001-5320-3117},“机构”:[{“id”:https://openalex.org/I201448701“,”display_name“:”华盛顿大学“,”ror“:”https://ror.org/00cvxb145“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I201448701“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”郝鹏“,”raw_affiliation_strings“:[“美国华盛顿州西雅图华盛顿大学计算机科学与工程学院”],“affiliations”:[{“raw_affilition_string”:“美国华盛顿大学西雅图计算机科学与工程学学院”,“institution_ids”:[”https://openalex.org/I201448701“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5048087523“,”display_name“:”Sam Thomson“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I74973139“,”display_name“:”卡内基梅隆大学“,”ror“:”https://ror.org/05x2bcf33“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I74973139“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Sam Thomson“,”raw _ afiliation_strings“:[“美国宾夕法尼亚州匹兹堡卡内基梅隆大学计算机科学学院”],”affiliations“:[{”raw_ afiliation _string“:”美国宾夕法尼亚州匹兹堡卡内基梅隆大学计算科学学院”,“institution_ids”:[”https://openalex.org/I74973139“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5088517824“,”display_name“:”Noah A.Smith“,”orcid“:”https://orcid.org/0000-0002-2310-6380},“机构”:[{“id”:https://openalex.org/I201448701“,”display_name“:”华盛顿大学“,”ror“:”https://ror.org/00cvxb145“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I201448701“]}],”countries“:[”US“],”is_corresponding“:false,”raw_author_name“:”Noah A.Smith“,”raw _affiliation_strings“:【”华盛顿大学计算机科学与工程学院,西雅图,华盛顿州,美国“】,”affiliations“:[{”raw _affiliation_string“:”华盛顿大学,华盛顿州西雅图计算机科学与工程学学院“,”institution_ids“:[“https://openalex.org/I201448701“]}]}],”countries_distinct_count“:1,”institutions_disting_count”:2,”corresponding_author_ids“:[],”corresponding_institution_ids”:[]“apc_list”:null,”apc_payed“:null”,“fwci”:20.689,”has_fulltext“:true,”fulltext_origin“:”pdf“,”cited_by_count“:{”volume“:null,”issue“:nul,”first_page“:null,”last_page“:null},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T10028“,”display_name“:”自然语言处理“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10028“,”display_name“:”自然语言处理“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10181“,”display_name“:”统计机器翻译与自然语言处理“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T13629“,”display_name“:”自动文本简化和可读性评估“,”score“:0.9856,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/dependency-parsing“,”display_name“:”依赖关系分析“,”score“:0.634842},{”id“:”https://openalex.org/keywords/syntax-based-translation-models网站“,”display_name“:”基于语法的翻译模型“,”score“:0.547664},{”id“:”https://openalex.org/keywords/neural-machine-translation网站“,”display_name“:”神经机器翻译“,”score“:0.544526},{”id“:”https://openalex.org/keywords/semantic-simplization网站“,”display_name“:”语义简化“,”score“:0.537952},{”id“:”https://openalex.org/keywords/sequence-to-sequence-learning网站“,”display_name“:”序列到序列学习“,”score“:0.514825}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.87580067},{”id“:”https://openalex.org/C171018156,“wikidata”:https://www.wikidata.org/wiki/Q7370306“,”display_name“:”三维旋转形式“,”level“:2,”score“:0.7862805},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.6896558},{”id“:”https://openalex.org/C204321447,“wikidata”:https://www.wikidata.org/wiki/Q30642“,”display_name“:”自然语言处理“,”level“:1,”score“:0.65089124},{”id“:”https://openalex.org/C186644900,“wikidata”:https://www.wikidata.org/wiki/Q194152“,”display_name“:”Parsing“,”level“:2,”score“:0.6366053},{”id“:”https://openalex.org/C2776214188,“wikidata”:https://www.wikidata.org/wiki/Q408386“,”display_name“:”推断“,”级别“:2,”分数“:0.5792438},{”id“:”https://openalex.org/C19768560,“wikidata”:https://www.wikidata.org/wiki/Q320727“,”display_name“:”依赖(UML)“,”level“:2,”score“:0.5566521},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.4778949},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488“,”display_name“:”Graph“,”level“:2,”score“:0.46444017},{”id“:”https://openalex.org/C28006648,“wikidata”:https://www.wikidata.org/wiki/Q6934509“,”display_name“:”多任务学习“,”level“:3,”score“:0.45436954},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.44495925},{”id“:”https://openalex.org/C164883195,“wikidata”:https://www.wikidata.org/wiki/Q674834“,”display_name“:”依赖语法“,”level“:3,”score“:0.44151992},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.22476703},{”id“:”https://openalex.org/C2780451532,“wikidata”:https://www.wikidata.org/wiki/Q759676“,”display_name“:”任务(项目管理)“,”级别“:2,”分数“:0.17385086},{”id“:”https://openalex.org/C2524010,“wikidata”:https://www.wikidata.org/wiki/Q8087“,”display_name“:”Geometry“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C187736073,“wikidata”:https://www.wikidata.org/wiki/Q2920921“,”display_name“:”管理“,”级别“:1,”分数“:0.0},{”id“:”https://openalex.org/C162324750,“wikidata”:https://www.wikidata.org/wiki/Q8134“,”display_name“:”Economics“,”level“:0,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.18653/v1/p17-1186,“pdf_url”:https://www.aclweb.org/antology/P17-1186.pdf“,”source“:null,”license“:”cc-by“,”licence_id“:”https://openalex.org/licenses/cc-by“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/1704.06855,“pdf_url”:https://arxiv.org/pdf/1704.06855,“源”:{“id”:https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.18653/v1/p17-1186,“pdf_url”:https://www.aclweb.org/antology/P17-1186.pdf“,”source“:null,”license“:”cc-by“,”licence_id“:”https://openalex.org/licenses/cc-by“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”sustainable_development_goals“:[{”score“:0.61,”display_name“:”素质教育“,”id“:”https://metadata.un.org/sdg/4“}],”grants“:[],”datasets“:[],”versions“:[】,”referenced_works_count“:69,”referrenced_works“:【”https://openalex.org/W120496549","https://openalex.org/W1510929985","https://openalex.org/W1517853909","https://openalex.org/W1810943226","https://openalex.org/W1903393809","https://openalex.org/W1962622193","https://openalex.org/W1970849810","https://openalex.org/W1976899842网址","https://openalex.org/W1989115577","https://openalex.org/W2024165284","https://openalex.org/W2038248725","https://openalex.org/W2064675550","https://openalex.org/W2091812280","https://openalex.org/W2095589793","https://openalex.org/W2096204319","https://openalex.org/W2099310262","https://openalex.org/W2105644991","https://openalex.org/W2113982204","https://openalex.org/W2116410915","https://openalex.org/W2117130368","https://openalex.org/W2120354757","https://openalex.org/W2130391193","https://openalex.org/W2130903752","https://openalex.org/W2130942839","https://openalex.org/W2131160549","https://openalex.org/W2131698806","https://openalex.org/W2131774270","https://openalex.org/W2132339004","https://openalex.org/W2137132216","https://openalex.org/W2142603219","https://openalex.org/W2144499799","https://openalex.org/W2149837184","https://openalex.org/W2151170651","https://openalex.org/W2154862802","https://openalex.org/W2158108973","https://openalex.org/W2158296485","https://openalex.org/W2158847908","https://openalex.org/W2168963845","https://openalex.org/W2172099713","https://openalex.org/W2178333206","https://openalex.org/W2250473257","https://openalex.org/W2250539671","https://openalex.org/W2250579469","https://openalex.org/W2250726251","https://openalex.org/W2251237305","https://openalex.org/W2251332263","https://openalex.org/W2251673953","https://openalex.org/W2251837567","https://openalex.org/W2251885424","https://openalex.org/W2251949442","https://openalex.org/W2252123671","https://openalex.org/W2252840007","https://openalex.org/W2258054274","https://openalex.org/W2293958133","https://openalex.org/W2294360863","https://openalex.org/W2301095666","https://openalex.org/W2423636506","https://openalex.org/W2512597464","https://openalex.org/W2516255829","https://openalex.org/W2540485556","https://openalex.org/W2570781790","https://openalex.org/W2573244676","https://openalex.org/W2913340405","https://openalex.org/W2963213121","https://openalex.org/W2963571341","https://openalex.org/W2964084097","https://openalex.org/W2964121744","https://openalex.org/W3047398590","https://openalex.org/W47641349“],”related_works“:[”https://openalex.org/W63925617","https://openalex.org/W4288558800","https://openalex.org/W2987141700","https://openalex.org/W2968543375","https://openalex.org/W2953770453","https://openalex.org/W29175167","https://openalex.org/W287510790","https://openalex.org/W2251084681","https://openalex.org/W2151754849","https://openalex.org/W2098784136“],”ngrams_url“:”https://api.openalex.org/works/W2962731964/ngrams“,”“abstract_inverted_index”:{“We”:[0],“present”:[1],“a”:[2,21,25,84],“deep”:[3],“neural”:[4],“architecture”:[5],“that”:[6,57,64,74],“parses”:[7],“sences”:[8],“into”:[9],“thire”:[10],“semantical”:[11,42],“依赖关系”:[12,43],“graph”:[13],“formalisms.By”:[14],使用“:[15,46],“efficient,”:[16],“nearly”:[17],“arc-factored”:[18],“inference”:[19],“和“:[20,62,93],”双向LSTM“:[22],”组合“:[23],”有“:[24],”多层“:[26],”感知机“:[27],”我们的“:[28],”基础“:[29],”系统“:[30],”是“:[31,91],”能力“:[32],”到“:[33,68],”显著“:[34],”改进“:[35,77],”the“:[36,39,70,88],”状态“:[37,86],“of”:[38,87],“art”:[40],“for”:[41],“parsing”:[44],“without”:[45],“hand-engineed”:[47]具有“:[48],”或“:[49],”语法。我们“:[50],”then“:[51],”explore“:[52],”two“:[53],”multitask“:[54],”learning“:[55],”approachs-one“:[56],”shares“:58],”parameters“:[59],”across“:[60,79],”formalsms,“:[61],”one“:[63],”uses“:[65],”higher order“:[66],”structures“:-67],”predict“:[69],”graphics“:[71],”联合使用。我们:[72],“发现”:[73],“两者”:[75],“方法”:[76],“性能”:[78],“形式主义”:[80],“on”:[81],“平均”:[82],“实现”:[83],“新”:[85],“艺术。我们的”:[89],“代码”:[90],“开源”:[92],“可用”:[94],“在”:[95],“https://github.com/Noahs-ARK/NeurboParser。“:[96]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W2962731964“,”counts_by_year“:[{年:2024,”cited_by_count“:1},{年“:2023,”cited_by_count”:2},”{“年”:2022,”citecd_by_count“:3},,{“年份”:2021,”citesd_by_count“:9},“年份”:2020,”citted_by-count“:45},‘年’:2019,”ciped_by_cunt“:32}“年份”:2017,“引用_ by_count”:3}],“更新日期”:“2024-06-26T14:10:38.395145”,“创建日期”:2019-07-30"}