{"id":"https://openalex.org/W2977904063","doi":"https://doi.org/10.1109/ijcnn.2019.8852281","title":"Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts","display_name":"Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977904063","doi":"https://doi.org/10.1109/ijcnn.2019.8852281","mag":"2977904063"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101421659","display_name":"Li Tang","orcid":"https://orcid.org/0000-0002-1511-0427"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Tang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016065545","display_name":"Fei Teng","orcid":"https://orcid.org/0000-0001-9535-7245"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Teng","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064437214","display_name":"Zheng Ma","orcid":"https://orcid.org/0000-0002-0251-1483"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Ma","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016421950","display_name":"Lufei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093384","display_name":"Chengdu Third People's Hospital","ror":"https://ror.org/00ebdgr24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093384"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lufei Huang","raw_affiliation_strings":["The Third People\u2019s Hospital of Chengdu, Chengdu, China","The Third People's Hospital of Chengdu, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"The Third People\u2019s Hospital of Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4210093384"]},{"raw_affiliation_string":"The Third People's Hospital of Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4210093384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037292846","display_name":"Ming Xiao","orcid":"https://orcid.org/0000-0002-5407-0835"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ming Xiao","raw_affiliation_strings":["School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362246","display_name":"Xuan Li","orcid":"https://orcid.org/0000-0001-5079-3035"},"institutions":[{"id":"https://openalex.org/I4210093384","display_name":"Chengdu Third People's Hospital","ror":"https://ror.org/00ebdgr24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093384"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Li","raw_affiliation_strings":["The Third People\u2019s Hospital of Chengdu, Chengdu, China","The Third People's Hospital of Chengdu, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"The Third People\u2019s Hospital of Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4210093384"]},{"raw_affiliation_string":"The Third People's Hospital of Chengdu, Chengdu, China","institution_ids":["https://openalex.org/I4210093384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101421659"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57340878,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9984999895095825,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8186851739883423},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6979093551635742},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6652926802635193},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6630971431732178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6524914503097534},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6159120798110962},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5855335593223572},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5014743804931641},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48841923475265503},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.45655813813209534},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45319828391075134},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4459786117076874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3232380151748657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24268978834152222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186851739883423},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6979093551635742},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6652926802635193},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6630971431732178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6524914503097534},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6159120798110962},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5855335593223572},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5014743804931641},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48841923475265503},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.45655813813209534},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45319828391075134},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4459786117076874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3232380151748657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24268978834152222},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1551842868","https://openalex.org/W1887754209","https://openalex.org/W1889268436","https://openalex.org/W2013355692","https://openalex.org/W2095705004","https://openalex.org/W2129367118","https://openalex.org/W2138627627","https://openalex.org/W2155454737","https://openalex.org/W2236688737","https://openalex.org/W2250521169","https://openalex.org/W2252979829","https://openalex.org/W2264517602","https://openalex.org/W2293023260","https://openalex.org/W2511964075","https://openalex.org/W2513378248","https://openalex.org/W2517194566","https://openalex.org/W2560748602","https://openalex.org/W2740114211","https://openalex.org/W2753068549","https://openalex.org/W2765382140","https://openalex.org/W2768488789","https://openalex.org/W2789500019","https://openalex.org/W2804220263","https://openalex.org/W2883294590","https://openalex.org/W2891588573","https://openalex.org/W2897876396","https://openalex.org/W2962785888","https://openalex.org/W2963171262","https://openalex.org/W2964026782","https://openalex.org/W2964036454","https://openalex.org/W2964087600","https://openalex.org/W2964121744","https://openalex.org/W2964167098","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6639364127","https://openalex.org/W6639620173","https://openalex.org/W6674330103","https://openalex.org/W6689876912","https://openalex.org/W6691723933","https://openalex.org/W6696884364","https://openalex.org/W6751476303"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2810679507"],"abstract_inverted_index":{"Identifying":[0],"relation":[1,99],"from":[2],"clinical":[3],"texts":[4],"is":[5,77],"a":[6,37,53,68,73,84],"complex":[7],"and":[8,59,63],"challenging":[9],"task":[10],"due":[11],"to":[12,47,79],"the":[13,24,81,90,96],"specific":[14],"biomedical":[15],"knowledge.":[16],"Existing":[17],"methods":[18],"for":[19],"this":[20,33,49],"work":[21],"generally":[22],"have":[23],"misclassification":[25],"problem":[26],"caused":[27],"by":[28,67],"sample":[29],"class":[30],"imbalance.":[31],"In":[32],"paper,":[34],"we":[35],"propose":[36],"hierarchical":[38,57,74],"attention-based":[39,75],"convolutional":[40],"long":[41],"short-term":[42],"memory":[43],"(ConvLSTM)":[44],"network":[45],"model":[46,104],"solve":[48],"problem.":[50],"We":[51],"construct":[52],"sentence":[54,85],"as":[55],"multi-dimensional":[56],"sequence":[58],"directly":[60],"learn":[61],"local":[62],"global":[64],"context":[65],"information":[66],"single-layer":[69],"ConvLSTM":[70],"network.":[71],"Besides,":[72],"pooling":[76],"built":[78],"capture":[80],"parts":[82],"of":[83],"that":[86,102],"are":[87],"relevant":[88],"with":[89],"target":[91],"semantic":[92],"relation.":[93],"Experiments":[94],"on":[95,112],"2010":[97],"i2b2/VA":[98],"dataset":[100],"show":[101],"our":[103],"outperforms":[105],"several":[106],"previous":[107],"state-of-the-art":[108],"models":[109],"without":[110],"relying":[111],"any":[113],"external":[114],"features.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
