{"id":"https://openalex.org/W3014962505","doi":"https://doi.org/10.3906/elk-1907-13","title":"Convolutional auto encoders for sentence representation generation","display_name":"Convolutional auto encoders for sentence representation generation","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W3014962505","doi":"https://doi.org/10.3906/elk-1907-13","mag":"3014962505"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1907-13","is_oa":false,"landing_page_url":"https://doi.org/10.3906/elk-1907-13","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-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/A5030112894","display_name":"Ali Mert CEYLAN","orcid":"https://orcid.org/0000-0002-7038-6602"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali Mert CEYLAN","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5039416563","display_name":"Vecdi Ayta\u00e7","orcid":"https://orcid.org/0000-0002-0038-6180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vecdi AYTA\u00c7","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030112894"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68166721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":"2","first_page":"1135","last_page":"1148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9937000274658203,"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":0.9937000274658203,"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":0.9765999913215637,"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":0.7946672439575195},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.763949453830719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6376717686653137},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5914047956466675},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5603285431861877},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5443429946899414},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5302714109420776},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5091859698295593},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5029997229576111},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46664953231811523},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44826799631118774},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3344467878341675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12141862511634827},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09920689463615417},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08232450485229492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946672439575195},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.763949453830719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376717686653137},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5914047956466675},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5603285431861877},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5443429946899414},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5302714109420776},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5091859698295593},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5029997229576111},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46664953231811523},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44826799631118774},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3344467878341675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12141862511634827},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09920689463615417},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08232450485229492},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3906/elk-1907-13","is_oa":false,"landing_page_url":"https://doi.org/10.3906/elk-1907-13","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/725095","is_oa":false,"landing_page_url":"https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/53851/725095","pdf_url":null,"source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\\n                                                                    Volume: 28, Issue: 2\\n                                                                                                    1135-1148\\n                                                                \\n                            ","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2375873920","https://openalex.org/W2384362569","https://openalex.org/W3151736118","https://openalex.org/W4362495644","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W4205302943"],"abstract_inverted_index":{"In":[0],"this":[1,63,100],"study,":[2],"we":[3],"have":[4,135],"proposed":[5,131,141],"an":[6],"alternative":[7],"approach":[8],"for":[9],"sentence":[10,107],"modeling":[11],"problem.":[12],"The":[13,42,60],"difficulty":[14,37],"of":[15,18,27,30,38,62,82,94,139],"the":[16,20,25,31,36,40,67,91,95,102,106,112,119,126,161,166],"choice":[17],"answer,":[19],"semantically":[21],"related":[22],"questions":[23],"and":[24,57,72,117,121,153],"lack":[26],"syntactic":[28],"closeness":[29],"answers":[32],"give":[33],"rise":[34],"to":[35,89,155],"selecting":[39],"answer.":[41],"deep":[43],"learning":[44],"field":[45],"has":[46],"recently":[47],"achieved":[48],"a":[49],"pivotal":[50],"success":[51],"in":[52,105],"semantic":[53,103],"analysis,":[54],"machine":[55],"translation,":[56],"text":[58],"summaries.":[59],"essence":[61],"work,":[64],"inspired":[65],"by":[66,111,125],"human":[68],"orthographic":[69],"processing":[70],"mechanism":[71],"using":[73],"multiple":[74,150],"convolution":[75],"filters":[76],"with":[77,130,149],"pre-rendered":[78],"2-Dimension":[79],"(2D)":[80],"representations":[81],"sentences,":[83],"input":[84],"or":[85],"output":[86],"size":[87],"is":[88,144,165],"learn":[90],"basic":[92],"features":[93],"language":[96],"without":[97],"concerns.":[98],"For":[99],"reason,":[101],"relations":[104],"structure":[108],"are":[109,128],"learned":[110,124],"convolutional":[113],"variational":[114],"auto-encoders":[115,127],"first,":[116],"then":[118],"question":[120],"answer":[122],"spaces":[123,152],"linked":[129],"intermediate":[132],"models.":[133],"We":[134],"benchmarked":[136],"five":[137],"variations":[138],"our":[140],"model,":[142,163],"which":[143,164],"based":[145],"on":[146],"Variational":[147],"Auto-Encoder":[148],"latent":[151],"able":[154],"achieve":[156],"lower":[157],"error":[158],"rates":[159],"than":[160],"baseline":[162],"base":[167],"Convolutional":[168],"LSTM.":[169]},"counts_by_year":[{"year":2022,"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"}