{"id":"https://openalex.org/W2912239039","doi":"https://doi.org/10.18653/v1/w18-5447","title":"Explicitly modeling case improves neural dependency parsing","display_name":"Explicitly modeling case improves neural dependency parsing","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2912239039","doi":"https://doi.org/10.18653/v1/w18-5447","mag":"2912239039"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-5447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-5447","pdf_url":"https://www.aclweb.org/anthology/W18-5447.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 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-5447.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044545465","display_name":"Clara Vania","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Clara Vania","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109031255","display_name":"Adam Lopez","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adam Lopez","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044545465"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69512085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"356","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T13629","display_name":"Text Readability and Simplification","score":0.9923999905586243,"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":0.8834891319274902},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.848131000995636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8454349040985107},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.705224871635437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6771661639213562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.63214510679245},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5867982506752014},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5322674512863159},{"id":"https://openalex.org/keywords/czech","display_name":"Czech","score":0.5085338354110718},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.48288631439208984},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.41445302963256836},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14819195866584778},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1476251184940338}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8834891319274902},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.848131000995636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8454349040985107},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.705224871635437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6771661639213562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63214510679245},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5867982506752014},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5322674512863159},{"id":"https://openalex.org/C2777842544","wikidata":"https://www.wikidata.org/wiki/Q9056","display_name":"Czech","level":2,"score":0.5085338354110718},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.48288631439208984},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.41445302963256836},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14819195866584778},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1476251184940338},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w18-5447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-5447","pdf_url":"https://www.aclweb.org/anthology/W18-5447.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 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/e62b0adc-d7f0-405e-aad5-4c496ddbdaf7","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/e62b0adc-d7f0-405e-aad5-4c496ddbdaf7","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/w18-5447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-5447","pdf_url":"https://www.aclweb.org/anthology/W18-5447.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 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912239039.pdf","grobid_xml":"https://content.openalex.org/works/W2912239039.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1860935423","https://openalex.org/W1899794420","https://openalex.org/W1938755728","https://openalex.org/W2037884508","https://openalex.org/W2109000768","https://openalex.org/W2144302466","https://openalex.org/W2301095666","https://openalex.org/W2516255829","https://openalex.org/W2739769945","https://openalex.org/W2739827909","https://openalex.org/W2740838408","https://openalex.org/W2742065842","https://openalex.org/W2951559648","https://openalex.org/W2964198424"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W2098784136","https://openalex.org/W287510790","https://openalex.org/W3117798239","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":{"Neural":[0],"dependency":[1,55],"parsing":[2],"models":[3,64],"that":[4,46,58,72],"compose":[5],"word":[6],"representations":[7,61],"from":[8,79],"characters":[9],"can":[10,76],"presumably":[11],"exploit":[12],"morphosyntax":[13],"when":[14],"making":[15],"attachment":[16],"decisions.":[17],"How":[18],"much":[19],"do":[20,65],"they":[21,29,73],"know":[22],"about":[23],"morphology?":[24],"We":[25],"investigate":[26],"how":[27],"well":[28],"handle":[30],"morphological":[31,49,70],"case,":[32],"which":[33],"is":[34],"important":[35],"for":[36],"parsing.":[37],"Our":[38],"experiments":[39],"on":[40],"Czech,":[41],"German":[42],"and":[43,75],"Russian":[44],"suggest":[45],"adding":[47],"explicit":[48,83],"case-either":[50],"oracle":[51],"or":[52],"predicted-improves":[53],"neural":[54],"parsing,":[56],"indicating":[57],"the":[59,69],"learned":[60],"in":[62],"these":[63],"not":[66],"fully":[67],"encode":[68],"knowledge":[71],"need,":[74],"still":[77],"benefit":[78],"targeted":[80],"forms":[81],"of":[82],"linguistic":[84],"modeling.":[85]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
