{"id":"https://openalex.org/W3009900279","doi":"https://doi.org/10.1145/3374587.3374620","title":"Evaluation of Pooling Operations and Regularization Parameters in Neural Networks for Drug-drug Interaction Extraction","display_name":"Evaluation of Pooling Operations and Regularization Parameters in Neural Networks for Drug-drug Interaction Extraction","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W3009900279","doi":"https://doi.org/10.1145/3374587.3374620","mag":"3009900279"},"language":"en","primary_location":{"id":"doi:10.1145/3374587.3374620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","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/A5058010566","display_name":"Feng Meishan","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Meishan","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603421","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0003-0537-4522"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Zhi","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579921","display_name":"Hao Wei","orcid":"https://orcid.org/0000-0001-7019-5710"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hao","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521740","display_name":"Qu Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qu Wen","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727322","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0001-9643-7191"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Fei","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052104124","display_name":"Mingyu Lu","orcid":"https://orcid.org/0000-0002-8663-9870"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu MingYu","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058010566"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.194,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57860304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9448999762535095,"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/pooling","display_name":"Pooling","score":0.6753373146057129},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6633397340774536},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6453554630279541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6250532865524292},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5804224014282227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297642350196838},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.49354565143585205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4318099617958069},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.17612960934638977},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.15237420797348022},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15076714754104614},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1278207004070282}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6753373146057129},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6633397340774536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6453554630279541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6250532865524292},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5804224014282227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297642350196838},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.49354565143585205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4318099617958069},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.17612960934638977},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.15237420797348022},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15076714754104614},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1278207004070282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374587.3374620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W31376329","https://openalex.org/W1514535095","https://openalex.org/W1902237438","https://openalex.org/W1965893653","https://openalex.org/W2004915807","https://openalex.org/W2033682243","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2096175520","https://openalex.org/W2112796928","https://openalex.org/W2121844933","https://openalex.org/W2133564696","https://openalex.org/W2135192531","https://openalex.org/W2139259976","https://openalex.org/W2141599568","https://openalex.org/W2250539671","https://openalex.org/W2264517602","https://openalex.org/W2485374661","https://openalex.org/W2560748602","https://openalex.org/W2579132201","https://openalex.org/W2740782465","https://openalex.org/W2755814313","https://openalex.org/W2765742249","https://openalex.org/W2780858805","https://openalex.org/W2781528640","https://openalex.org/W2785001576","https://openalex.org/W2807263159","https://openalex.org/W2949615363","https://openalex.org/W2963069010","https://openalex.org/W2964026782","https://openalex.org/W4241401616"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"neural":[2,27],"networks":[3,28],"have":[4],"been":[5],"widely":[6],"used":[7],"in":[8,26,51],"biomedical":[9],"relation":[10],"extraction,":[11],"especially":[12],"CNN":[13,48],"and":[14,32,35,49,65],"LSTM.":[15],"Relation":[16],"extraction":[17],"is":[18,76,94,108,113],"a":[19],"classification":[20],"task":[21],"which":[22,112],"uses":[23,37],"pooling":[24,63,93,99,102],"operations":[25,64],"to":[29,39,78,115,123],"reduce":[30],"dimensions":[31],"integration":[33],"features":[34],"it":[36,75],"regularization":[38,66,69,82],"prevent":[40,71],"over-fitting.":[41],"This":[42],"paper":[43],"evaluates":[44],"the":[45,57,81,87,91,104,109,116,124],"performance":[46,59],"of":[47],"LSTM":[50],"Drug-drug":[52],"interaction":[53],"extraction.":[54],"We":[55],"discuss":[56],"models'":[58],"differences":[60],"using":[61],"different":[62],"parameters.":[67],"Firstly,":[68],"can":[70],"over-fitting":[72],"effectively,":[73],"but":[74],"important":[77],"ensure":[79],"that":[80,120],"parameters":[83],"are":[84,121],"set":[85],"within":[86],"correct":[88],"ranges.":[89],"Secondly,":[90],"max":[92],"better":[95],"than":[96],"other":[97],"single":[98],"methods.":[100],"Max":[101],"outperforms":[103],"others":[105],"alternatives":[106],"because":[107],"only":[110],"one":[111],"invariant":[114],"special":[117],"pad":[118],"tokens":[119],"appending":[122],"shorter":[125],"sentences":[126],"known":[127],"as":[128],"padding.":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
