{"id":"https://openalex.org/W2989342754","doi":"https://doi.org/10.18653/v1/d19-1344","title":"A Label Informative Wide &amp; Deep Classifier for Patents and Papers","display_name":"A Label Informative Wide &amp; Deep Classifier for Patents and Papers","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2989342754","doi":"https://doi.org/10.18653/v1/d19-1344","mag":"2989342754"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1344","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1344","pdf_url":"https://www.aclweb.org/anthology/D19-1344.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/D19-1344.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002751440","display_name":"Muyao Niu","orcid":"https://orcid.org/0000-0002-4613-9636"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Muyao Niu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079611154","display_name":"Jie Cai","orcid":"https://orcid.org/0000-0002-6561-5626"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Cai","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002751440"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7195771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3436","last_page":"3441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.996999979019165,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.996999979019165,"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":0.991599977016449,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6183713674545288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5463032722473145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5053873062133789},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32079219818115234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183713674545288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5463032722473145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5053873062133789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32079219818115234}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1344","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1344","pdf_url":"https://www.aclweb.org/anthology/D19-1344.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/d19-1344","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1344","pdf_url":"https://www.aclweb.org/anthology/D19-1344.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":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989342754.pdf","grobid_xml":"https://content.openalex.org/works/W2989342754.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W102905937","https://openalex.org/W142320376","https://openalex.org/W1768675166","https://openalex.org/W1832693441","https://openalex.org/W2149256261","https://openalex.org/W2153579005","https://openalex.org/W2189315887","https://openalex.org/W2251264718","https://openalex.org/W2403193557","https://openalex.org/W2475334473","https://openalex.org/W2577250310","https://openalex.org/W2783785145","https://openalex.org/W2889961245","https://openalex.org/W2963912736","https://openalex.org/W2964061809","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W4210805261","https://openalex.org/W4387297750"],"abstract_inverted_index":{"Muyao":[0],"Niu,":[1],"Jie":[2],"Cai.":[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":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
