{"id":"https://openalex.org/W2971016963","doi":"https://doi.org/10.18653/v1/d19-1592","title":"Quantity doesn\u2019t buy quality syntax with neural language models","display_name":"Quantity doesn\u2019t buy quality syntax with neural language models","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971016963","doi":"https://doi.org/10.18653/v1/d19-1592","mag":"2971016963"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1592","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1592","pdf_url":"https://www.aclweb.org/anthology/D19-1592.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1592.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025119831","display_name":"Marten van Schijndel","orcid":"https://orcid.org/0000-0002-9858-5881"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marten van Schijndel","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020998070","display_name":"Aaron Mueller","orcid":"https://orcid.org/0009-0005-1148-5001"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Mueller","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081824828","display_name":"Tal Linzen","orcid":"https://orcid.org/0000-0003-0435-6912"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tal Linzen","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025119831"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":7.841,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97865563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5830","last_page":"5836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T10201","display_name":"Speech Recognition and Synthesis","score":0.995199978351593,"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":0.7679735422134399},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6992640495300293},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5764050483703613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313580632209778},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.473627507686615},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.46891674399375916},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.43832308053970337},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4117383360862732},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.36973947286605835},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0943082869052887},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.09093227982521057},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.057431161403656006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679735422134399},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6992640495300293},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5764050483703613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313580632209778},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.473627507686615},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.46891674399375916},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.43832308053970337},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4117383360862732},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.36973947286605835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0943082869052887},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.09093227982521057},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.057431161403656006},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1592","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1592","pdf_url":"https://www.aclweb.org/anthology/D19-1592.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1592","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1592","pdf_url":"https://www.aclweb.org/anthology/D19-1592.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971016963.pdf","grobid_xml":"https://content.openalex.org/works/W2971016963.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1689711448","https://openalex.org/W1978662219","https://openalex.org/W2049049032","https://openalex.org/W2064675550","https://openalex.org/W2103018059","https://openalex.org/W2250539671","https://openalex.org/W2259472270","https://openalex.org/W2549416390","https://openalex.org/W2549835527","https://openalex.org/W2625014264","https://openalex.org/W2793273050","https://openalex.org/W2798727047","https://openalex.org/W2886663262","https://openalex.org/W2887020936","https://openalex.org/W2888922637","https://openalex.org/W2896457183","https://openalex.org/W2910243263","https://openalex.org/W2918996109","https://openalex.org/W2949629417","https://openalex.org/W2951483775","https://openalex.org/W2962964385","https://openalex.org/W2963341956","https://openalex.org/W2963347649","https://openalex.org/W2963403868","https://openalex.org/W2963614302","https://openalex.org/W2963751529","https://openalex.org/W2963940534","https://openalex.org/W2964110616","https://openalex.org/W2964348070","https://openalex.org/W2970119519","https://openalex.org/W2970853769","https://openalex.org/W4247868144","https://openalex.org/W4288255289","https://openalex.org/W4288631803","https://openalex.org/W4385245566","https://openalex.org/W4399650694"],"related_works":["https://openalex.org/W4388713123","https://openalex.org/W3194438104","https://openalex.org/W2570592793","https://openalex.org/W2753140600","https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2116246834","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Marten":[0],"van":[1],"Schijndel,":[2],"Aaron":[3],"Mueller,":[4],"Tal":[5],"Linzen.":[6],"Proceedings":[7],"of":[8],"the":[9,20],"2019":[10],"Conference":[11,24],"on":[12,25],"Empirical":[13],"Methods":[14],"in":[15],"Natural":[16,26],"Language":[17,27],"Processing":[18,28],"and":[19],"9th":[21],"International":[22],"Joint":[23],"(EMNLP-IJCNLP).":[29],"2019.":[30]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":28}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
