{"id":"https://openalex.org/W2970308008","doi":"https://doi.org/10.18653/v1/d19-1536","title":"Text2Math: End-to-end Parsing Text into Math Expressions","display_name":"Text2Math: End-to-end Parsing Text into Math Expressions","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970308008","doi":"https://doi.org/10.18653/v1/d19-1536","mag":"2970308008"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1536","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1536","pdf_url":"https://www.aclweb.org/anthology/D19-1536.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/D19-1536.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077926417","display_name":"Yanyan Zou","orcid":"https://orcid.org/0000-0002-8153-9299"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yanyan Zou","raw_affiliation_strings":["StatNLP Research Group Singapore University of Technology and Design"],"affiliations":[{"raw_affiliation_string":"StatNLP Research Group Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045807606","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0003-0827-0382"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["StatNLP Research Group Singapore University of Technology and Design"],"affiliations":[{"raw_affiliation_string":"StatNLP Research Group Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077926417"],"corresponding_institution_ids":["https://openalex.org/I152815399"],"apc_list":null,"apc_paid":null,"fwci":1.6802,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88394651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5326","last_page":"5336"},"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":0.9994999766349792,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.752185583114624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373960971832275},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.49085479974746704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45992809534072876},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45356106758117676},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.35228100419044495}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.752185583114624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373960971832275},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.49085479974746704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45992809534072876},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45356106758117676},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.35228100419044495}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1536","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1536","pdf_url":"https://www.aclweb.org/anthology/D19-1536.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/d19-1536","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1536","pdf_url":"https://www.aclweb.org/anthology/D19-1536.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","score":0.8500000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970308008.pdf","grobid_xml":"https://content.openalex.org/works/W2970308008.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W14398335","https://openalex.org/W1505640990","https://openalex.org/W1539746312","https://openalex.org/W2013938288","https://openalex.org/W2050516909","https://openalex.org/W2051434435","https://openalex.org/W2102258316","https://openalex.org/W2105717194","https://openalex.org/W2107618763","https://openalex.org/W2111742432","https://openalex.org/W2121406004","https://openalex.org/W2123442489","https://openalex.org/W2135754437","https://openalex.org/W2147389891","https://openalex.org/W2147880316","https://openalex.org/W2161002933","https://openalex.org/W2163234897","https://openalex.org/W2189089430","https://openalex.org/W2250467267","https://openalex.org/W2250564385","https://openalex.org/W2250769864","https://openalex.org/W2251349042","https://openalex.org/W2251584889","https://openalex.org/W2251935656","https://openalex.org/W2252017546","https://openalex.org/W2252136820","https://openalex.org/W2276364082","https://openalex.org/W2296283641","https://openalex.org/W2510828927","https://openalex.org/W2739178641","https://openalex.org/W2757276219","https://openalex.org/W2763463375","https://openalex.org/W2788411903","https://openalex.org/W2946707294","https://openalex.org/W2962800603","https://openalex.org/W2962970011","https://openalex.org/W2963196246","https://openalex.org/W2963207291","https://openalex.org/W2963357517","https://openalex.org/W2963510263","https://openalex.org/W2963537774","https://openalex.org/W2963576969","https://openalex.org/W2963655793","https://openalex.org/W2963779892","https://openalex.org/W2963794306","https://openalex.org/W2964186869","https://openalex.org/W2971688489"],"related_works":["https://openalex.org/W2502722637","https://openalex.org/W2070147537","https://openalex.org/W2026046761","https://openalex.org/W4235735989","https://openalex.org/W2467097043","https://openalex.org/W2167662847","https://openalex.org/W1551406738","https://openalex.org/W1998962249","https://openalex.org/W2474495446","https://openalex.org/W1512248002"],"abstract_inverted_index":{"Yanyan":[0],"Zou,":[1],"Wei":[2],"Lu.":[3],"Proceedings":[4],"of":[5],"the":[6,17],"2019":[7],"Conference":[8,21],"on":[9,22],"Empirical":[10],"Methods":[11],"in":[12],"Natural":[13,23],"Language":[14,24],"Processing":[15,25],"and":[16],"9th":[18],"International":[19],"Joint":[20],"(EMNLP-IJCNLP).":[26],"2019.":[27]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
