{"id":"https://openalex.org/W2801280546","doi":null,"title":"G-Rap: interactive text synthesis using recurrent neural network suggestions","display_name":"G-Rap: interactive text synthesis using recurrent neural network suggestions","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2801280546","mag":"2801280546"},"language":"en","primary_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/42292","doi":null,"is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","pdf_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ESANN 2018 proceedings. 2018","raw_type":"doc-type:conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074126331","display_name":"Udo Schlegel","orcid":"https://orcid.org/0000-0002-8266-0162","observed_orcids":["https://orcid.org/0000-0002-8266-0162"]},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Udo Schlegel","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8266-0162","affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065218054","display_name":"Eren Cakmak","orcid":"https://orcid.org/0000-0002-1812-2271","observed_orcids":["https://orcid.org/0000-0002-1812-2271"]},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eren Cakmak","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1812-2271","affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071098711","display_name":"Juri Buchm\u00fcller","orcid":"https://orcid.org/0000-0002-4713-911X","observed_orcids":["https://orcid.org/0000-0002-4713-911X"]},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Juri Buchm\u00fcller","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073919282","display_name":"Daniel A. Keim","orcid":"https://orcid.org/0000-0001-7966-9740","observed_orcids":["https://orcid.org/0000-0001-7966-9740"]},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel A. Keim","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7966-9740","affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":0.1241,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44077307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.0017999999690800905,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0017000000225380063,"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/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9729999899864197},{"id":"https://openalex.org/keywords/neural-architecture-search","display_name":"neural architecture search","score":0.5120000243186951},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"visual analytics","score":0.6869999766349792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227752566337585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5797280669212341},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.48827075958251953},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4052177369594574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3881796598434448}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:kops.uni-konstanz.de:123456789/42292","doi":null,"is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","pdf_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ESANN 2018 proceedings. 2018","raw_type":"doc-type:conferenceObject"},{"id":"mag:2801280546","doi":null,"is_oa":false,"landing_page_url":"https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-158.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421047","display_name":"The European Symposium on Artificial Neural Networks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The European Symposium on Artificial Neural Networks","raw_type":null}],"best_oa_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/42292","doi":null,"is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","pdf_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-xeqgxbhdkp799","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ESANN 2018 proceedings. 2018","raw_type":"doc-type:conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2801280546.pdf","grobid_xml":"https://content.openalex.org/works/W2801280546.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W197120736","https://openalex.org/W1506965148","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2115221470","https://openalex.org/W2126410802","https://openalex.org/W2133564696","https://openalex.org/W2139196008","https://openalex.org/W2250842199","https://openalex.org/W2474839258","https://openalex.org/W2513341625","https://openalex.org/W2548441712","https://openalex.org/W2563845258","https://openalex.org/W2572589325","https://openalex.org/W2593469111","https://openalex.org/W2621157057","https://openalex.org/W2741986794","https://openalex.org/W2785567863","https://openalex.org/W2964308564","https://openalex.org/W4297889967"],"related_works":["https://openalex.org/W2745848225","https://openalex.org/W7214015742","https://openalex.org/W2909239562","https://openalex.org/W3175637107","https://openalex.org/W7083205229","https://openalex.org/W7196968390","https://openalex.org/W2756602887","https://openalex.org/W2408036310","https://openalex.org/W7098143701","https://openalex.org/W2790522240"],"abstract_inverted_index":{"Finding":[0],"the":[1,21,46,63],"best":[2],"neural":[3],"network":[4,26],"configuration":[5],"for":[6,39,45],"a":[7,25,59],"given":[8],"goal":[9],"can":[10],"be":[11],"challenging,":[12],"especially":[13],"when":[14],"it":[15],"is":[16],"not":[17],"possible":[18],"to":[19,61],"assess":[20],"output":[22],"quality":[23],"of":[24,42],"automatically.":[27],"We":[28],"present":[29],"G-Rap,":[30],"an":[31,52],"interactive":[32],"interface":[33],"based":[34],"on":[35],"Visual":[36],"Analytics":[37],"principles":[38],"comparing":[40],"outputs":[41,64],"multiple":[43],"RNNs":[44],"same":[47],"training":[48],"data.":[49],"G-Rap":[50],"enables":[51],"iterative":[53],"result":[54],"generation":[55],"process":[56],"that":[57],"allows":[58],"user":[60],"evaluate":[62],"with":[65],"contextual":[66],"statistics.":[67]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-05-17T00:00:00"}
