{"id":"https://openalex.org/W3129048826","doi":"https://doi.org/10.1109/bibm49941.2020.9313452","title":"Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity","display_name":"Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3129048826","doi":"https://doi.org/10.1109/bibm49941.2020.9313452","mag":"3129048826"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5046519793","display_name":"Zhengguang Li","orcid":"https://orcid.org/0000-0001-7438-9707"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengguang Li","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023931221","display_name":"Hongfei Lin","orcid":"https://orcid.org/0000-0003-0872-7688"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Lin","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022877637","display_name":"Chen Shen","orcid":"https://orcid.org/0000-0002-7534-0830"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Shen","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101513399","display_name":"Wei Zheng","orcid":"https://orcid.org/0000-0001-8921-5304"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zheng","raw_affiliation_strings":["Software Institute Dalian Jiaotong University, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Institute Dalian Jiaotong University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051597671","display_name":"Zhihao Yang","orcid":"https://orcid.org/0000-0001-6186-2024"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Yang","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370452","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-4656-7446"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University Of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8125,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80074076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1051","last_page":"1054"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7730298042297363},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6421090364456177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193282604217529},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5706486701965332},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5132927298545837},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5004398822784424},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46587297320365906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730298042297363},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6421090364456177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193282604217529},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5706486701965332},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5132927298545837},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5004398822784424},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46587297320365906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2028742638","https://openalex.org/W2062227835","https://openalex.org/W2215513433","https://openalex.org/W2508865106","https://openalex.org/W2510940142","https://openalex.org/W2735784619","https://openalex.org/W2739716023","https://openalex.org/W2808308446","https://openalex.org/W2896457183","https://openalex.org/W2911489562","https://openalex.org/W2937845937","https://openalex.org/W2955474241","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2969318268","https://openalex.org/W2972312591","https://openalex.org/W2986004500","https://openalex.org/W3024482787","https://openalex.org/W3034198728","https://openalex.org/W3102568136","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2114797768","https://openalex.org/W4376653378","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W2898077673","https://openalex.org/W4385239468","https://openalex.org/W4200476258","https://openalex.org/W1990601549","https://openalex.org/W2022470916"],"abstract_inverted_index":{"Estimating":[0],"the":[1,39,70,98,113,122,136,142,160,168,178],"similarity":[2,184],"of":[3,27,105,145,162],"biomedical":[4,28,101],"sentence":[5,137],"pair":[6],"is":[7,57,82,90],"an":[8],"important":[9,83],"component":[10],"in":[11,92,159,185,195],"such":[12],"natural":[13],"language":[14],"processing":[15],"(NLP)":[16],"tasks":[17],"as":[18],"text":[19,22],"retrieval":[20],"and":[21,108,125,176],"summarization":[23],"with":[24,190],"great":[25],"amount":[26],"information":[29,158],"growing.":[30],"Deep":[31],"learning-based":[32],"approaches":[33],"have":[34],"been":[35],"successfully":[36],"applied":[37],"to":[38,60,112,148,192],"task,":[40],"but":[41],"they":[42],"often":[43],"rely":[44],"on":[45],"traditional":[46],"pre-trained":[47,123],"context-independent":[48],"word":[49],"embedding.":[50],"Bidirectional":[51],"Encoder":[52],"Representations":[53],"from":[54],"Transformers":[55],"(BERT)":[56],"recently":[58],"employed":[59],"pre-train":[61],"contextualized":[62],"word/sentence":[63],"representation":[64,139],"models":[65,171],"via":[66,140],"bidirectional":[67,127],"Transformers,":[68],"outperforming":[69],"state-of-the-art":[71,179],"for":[72,84,180],"many":[73],"NLP":[74],"tasks.":[75],"The":[76,132],"mutual":[77],"semantic":[78,86,138,182],"influence":[79],"between":[80,152],"sentences":[81],"estimating":[85],"textual":[87,183],"similarity,":[88],"which":[89],"neglected":[91],"existing":[93],"methods":[94,175],"including":[95],"BERT.":[96,163],"On":[97],"other":[99],"hand,":[100],"corpora":[102],"mainly":[103],"consist":[104],"syntactic":[106],"complex":[107],"long":[109],"sentences.":[110,153],"Owing":[111],"above-mentioned":[114],"issues,":[115],"we":[116],"proposed":[117,133],"a":[118],"hybrid":[119],"architecture,":[120],"integrating":[121],"BERT":[124],"downstream":[126],"recurrent":[128],"neural":[129],"network":[130],"(bi-RNN).":[131],"model":[134],"enhanced":[135],"employing":[141],"self-attention":[143],"instead":[144],"global":[146],"attention":[147,151],"perform":[149],"cross":[150],"Meanwhile,":[154],"bi-RNN":[155],"reduced":[156],"redundant":[157],"output":[161],"Experimental":[164],"results":[165],"show":[166],"that":[167],"best":[169],"fine-tuned":[170],"consistently":[172],"outperform":[173],"previous":[174],"advance":[177],"clinical":[181],"OHNLP":[186],"2018":[187],"task":[188],"2,":[189],"up":[191],"0.6%":[193],"increase":[194],"Pearson":[196],"correlation":[197],"coefficient.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}