{"id":"https://openalex.org/W2751814988","doi":"https://doi.org/10.1587/transinf.2017edp7003","title":"Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks","display_name":"Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2751814988","doi":"https://doi.org/10.1587/transinf.2017edp7003","mag":"2751814988"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2017edp7003","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7003","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/9/E100.D_2017EDP7003/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/9/E100.D_2017EDP7003/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101805835","display_name":"Chunpeng Ma","orcid":"https://orcid.org/0000-0002-5454-739X"},"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":true,"raw_author_name":"Chunpeng MA","raw_affiliation_strings":["Machine Intelligence and Translation Laboratory, Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence and Translation Laboratory, Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102926384","display_name":"Akihiro Tamura","orcid":"https://orcid.org/0000-0003-4622-7713"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiro TAMURA","raw_affiliation_strings":["ASTREC, National Institute of Information and Communications Technology (NICT)"],"affiliations":[{"raw_affiliation_string":"ASTREC, National Institute of Information and Communications Technology (NICT)","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005411806","display_name":"Lemao Liu","orcid":"https://orcid.org/0000-0003-3804-5768"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lemao LIU","raw_affiliation_strings":["ASTREC, National Institute of Information and Communications Technology (NICT)"],"affiliations":[{"raw_affiliation_string":"ASTREC, National Institute of Information and Communications Technology (NICT)","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"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":"Tiejun ZHAO","raw_affiliation_strings":["Machine Intelligence and Translation Laboratory, Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence and Translation Laboratory, Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033318800","display_name":"Eiichiro Sumita","orcid":"https://orcid.org/0000-0002-1028-4399"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eiichiro SUMITA","raw_affiliation_strings":["ASTREC, National Institute of Information and Communications Technology (NICT)"],"affiliations":[{"raw_affiliation_string":"ASTREC, National Institute of Information and Communications Technology (NICT)","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101805835"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62091923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"E100.D","issue":"9","first_page":"2205","last_page":"2214"},"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":0.9995999932289124,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.9793475270271301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8882267475128174},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8434559106826782},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7167248129844666},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6673509478569031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6280701756477356},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5653010606765747},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5072402358055115},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.41896456480026245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38177943229675293},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33243656158447266}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9793475270271301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8882267475128174},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8434559106826782},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7167248129844666},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6673509478569031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280701756477356},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5653010606765747},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5072402358055115},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.41896456480026245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38177943229675293},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33243656158447266},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2017edp7003","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7003","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/9/E100.D_2017EDP7003/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2017edp7003","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2017edp7003","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/9/E100.D_2017EDP7003/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2751814988.pdf","grobid_xml":"https://content.openalex.org/works/W2751814988.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W108437174","https://openalex.org/W1514535095","https://openalex.org/W1632114991","https://openalex.org/W1815076433","https://openalex.org/W1938755728","https://openalex.org/W2051818821","https://openalex.org/W2092654472","https://openalex.org/W2097998348","https://openalex.org/W2098021339","https://openalex.org/W2107878631","https://openalex.org/W2108999232","https://openalex.org/W2120277061","https://openalex.org/W2124875803","https://openalex.org/W2125712079","https://openalex.org/W2126433015","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2143431851","https://openalex.org/W2146574666","https://openalex.org/W2157331557","https://openalex.org/W2163568299","https://openalex.org/W2250562110","https://openalex.org/W2251088156","https://openalex.org/W2251204185","https://openalex.org/W2251823276","https://openalex.org/W2251855586","https://openalex.org/W2251923740","https://openalex.org/W2510787547","https://openalex.org/W2563495010","https://openalex.org/W2564486991","https://openalex.org/W2963069010","https://openalex.org/W2963073938","https://openalex.org/W2963808856","https://openalex.org/W2966512409"],"related_works":["https://openalex.org/W1043255351","https://openalex.org/W2135057643","https://openalex.org/W1533278948","https://openalex.org/W1781980207","https://openalex.org/W2109902858","https://openalex.org/W2951759144","https://openalex.org/W28706907","https://openalex.org/W2949524199","https://openalex.org/W2017946383","https://openalex.org/W2104399512"],"abstract_inverted_index":{"Conventional":[0],"feature-rich":[1,84,103],"parsers":[2,14,40,86],"based":[3],"on":[4],"manually":[5],"tuned":[6],"features":[7],"have":[8],"achieved":[9],"state-of-the-art":[10,117],"performance.":[11],"However,":[12],"these":[13],"are":[15,60],"not":[16,50],"good":[17],"at":[18],"handling":[19],"long-term":[20],"dependencies":[21],"using":[22],"only":[23],"the":[24,33,81,90,97],"clues":[25],"captured":[26],"by":[27,101],"a":[28,74,102],"prepared":[29],"feature":[30,98],"template.":[31],"On":[32,105],"other":[34],"hand,":[35],"recurrent":[36],"neural":[37],"network":[38],"(RNN)-based":[39],"can":[41],"encode":[42],"unbounded":[43],"history":[44],"information":[45],"effectively,":[46],"but":[47,76],"they":[48,63],"perform":[49],"well":[51],"for":[52,121,126],"small":[53],"tree":[54],"structures,":[55],"especially":[56],"when":[57],"low-frequency":[58],"words":[59],"involved,":[61],"and":[62,87,109,123],"cannot":[64],"use":[65],"prior":[66],"linguistic":[67],"knowledge.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"propose":[73],"simple":[75],"effective":[77],"framework":[78,92,115],"to":[79],"combine":[80],"merits":[82],"of":[83],"transition-based":[85],"RNNs.":[88],"Specifically,":[89],"proposed":[91],"incorporates":[93],"RNN-based":[94],"scores":[95],"into":[96],"template":[99],"used":[100],"parser.":[104],"English":[106,122],"WSJ":[107],"treebank":[108],"SPMRL":[110],"2014":[111],"German":[112],"treebank,":[113],"our":[114],"achieves":[116],"performance":[118],"(91.56":[119],"F-score":[120,125],"83.06":[124],"German),":[127],"without":[128],"requiring":[129],"any":[130],"additional":[131],"unlabeled":[132],"data.":[133]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
