{"id":"https://openalex.org/W2970104062","doi":"https://doi.org/10.18653/v1/d19-3028","title":"NeuronBlocks: Building Your NLP DNN Models Like Playing Lego","display_name":"NeuronBlocks: Building Your NLP DNN Models Like Playing Lego","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970104062","doi":"https://doi.org/10.18653/v1/d19-3028","mag":"2970104062"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-3028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-3028","pdf_url":"https://www.aclweb.org/anthology/D19-3028.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): System Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-3028.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101640051","display_name":"Ming Gong","orcid":"https://orcid.org/0000-0001-6140-7187"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Gong","raw_affiliation_strings":["STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077262995","display_name":"Linjun Shou","orcid":"https://orcid.org/0000-0002-1050-7708"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Shou","raw_affiliation_strings":["STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090739176","display_name":"Wutao Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wutao Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053952813","display_name":"Zhijie Sang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Sang","raw_affiliation_strings":["STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014021454","display_name":"Quanjia Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanjia Yan","raw_affiliation_strings":["Research Center for Ubiquitous Computing Systems, ICT, CAS, Beijing, China","STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Ubiquitous Computing Systems, ICT, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758950","display_name":"Ze Yang","orcid":"https://orcid.org/0000-0003-3786-8842"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Yang","raw_affiliation_strings":["STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046021504","display_name":"Feixiang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feixiang Cheng","raw_affiliation_strings":["STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060116992","display_name":"Daxin Jiang","orcid":"https://orcid.org/0000-0002-6657-5806"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxin Jiang","raw_affiliation_strings":["STCA NLP Group, Microsoft, Beijing, China"],"affiliations":[{"raw_affiliation_string":"STCA NLP Group, Microsoft, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101640051"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":0.5772,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75903162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9932000041007996,"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/natural-language-processing","display_name":"Natural language processing","score":0.6790227890014648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692225337028503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6334593892097473},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5591269135475159},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.42106518149375916},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35074666142463684},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16512426733970642},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.12542438507080078},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06778451800346375},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.062064915895462036}],"concepts":[{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6790227890014648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692225337028503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6334593892097473},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5591269135475159},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.42106518149375916},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35074666142463684},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16512426733970642},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.12542438507080078},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06778451800346375},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.062064915895462036}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-3028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-3028","pdf_url":"https://www.aclweb.org/anthology/D19-3028.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): System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-3028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-3028","pdf_url":"https://www.aclweb.org/anthology/D19-3028.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): System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970104062.pdf","grobid_xml":"https://content.openalex.org/works/W2970104062.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1948566616","https://openalex.org/W2004763266","https://openalex.org/W2133564696","https://openalex.org/W2144578941","https://openalex.org/W2251818205","https://openalex.org/W2296283641","https://openalex.org/W2551396370","https://openalex.org/W2606974598","https://openalex.org/W2793978524","https://openalex.org/W2808393080","https://openalex.org/W2885311373","https://openalex.org/W2896457183","https://openalex.org/W2923014074","https://openalex.org/W2951815760","https://openalex.org/W2952087486","https://openalex.org/W2952436057","https://openalex.org/W2962739339","https://openalex.org/W2962902328","https://openalex.org/W2963212250","https://openalex.org/W2963310665","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963563735","https://openalex.org/W2963625095","https://openalex.org/W2963641259","https://openalex.org/W2963691697","https://openalex.org/W2964212578","https://openalex.org/W2964308564","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W4283262748","https://openalex.org/W2367747139","https://openalex.org/W4391102217","https://openalex.org/W2566187525","https://openalex.org/W2566334511","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Ming":[0],"Gong,":[1],"Linjun":[2],"Shou,":[3],"Wutao":[4],"Lin,":[5],"Zhijie":[6],"Sang,":[7],"Quanjia":[8],"Yan,":[9],"Ze":[10],"Yang,":[11],"Feixiang":[12],"Cheng,":[13],"Daxin":[14],"Jiang.":[15],"Proceedings":[16],"of":[17],"the":[18,29],"2019":[19],"Conference":[20,33],"on":[21,34],"Empirical":[22],"Methods":[23],"in":[24],"Natural":[25,35],"Language":[26,36],"Processing":[27,37],"and":[28],"9th":[30],"International":[31],"Joint":[32],"(EMNLP-IJCNLP):":[38],"System":[39],"Demonstrations.":[40],"2019.":[41]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}