{"id":"https://openalex.org/W2979827194","doi":"https://doi.org/10.18653/v1/w19-8644","title":"Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)","display_name":"Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2979827194","doi":"https://doi.org/10.18653/v1/w19-8644","mag":"2979827194"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-8644","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-8644","pdf_url":"https://www.aclweb.org/anthology/W19-8644.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-8644.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004829991","display_name":"Ond\u0159ej Du\u0161ek","orcid":"https://orcid.org/0000-0002-1415-1702"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ond\u0159ej Du\u0161ek","raw_affiliation_strings":["Charles University in Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University in Prague","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049422133","display_name":"Karin Sevegnani","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karin Sevegnani","raw_affiliation_strings":["Heriot-Watt University, MACS, The Interaction Lab, Edinburgh, Scotland, UK","Heriot Watt University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, MACS, The Interaction Lab, Edinburgh, Scotland, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Heriot Watt University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030546839","display_name":"Ioannis Konstas","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioannis Konstas","raw_affiliation_strings":["Heriot-Watt University, MACS, The Interaction Lab, Edinburgh, Scotland, UK","Heriot Watt University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, MACS, The Interaction Lab, Edinburgh, Scotland, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Heriot Watt University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076593865","display_name":"Verena Rieser","orcid":"https://orcid.org/0000-0001-6117-4395"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Verena Rieser","raw_affiliation_strings":["Heriot-Watt University, MACS, The Interaction Lab, Edinburgh, Scotland, UK","Heriot Watt University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, MACS, The Interaction Lab, Edinburgh, Scotland, UK","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"Heriot Watt University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8510410189628601},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.779104471206665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480173707008362},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7388985753059387},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.7036851048469543},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6714088916778564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.591661274433136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5520817637443542},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5443673729896545},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5242198705673218},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.45744654536247253},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4501134157180786},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42875584959983826},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41224613785743713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38471686840057373},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.304972767829895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13234943151474},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07549050450325012}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8510410189628601},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.779104471206665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480173707008362},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7388985753059387},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.7036851048469543},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6714088916778564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591661274433136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5520817637443542},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5443673729896545},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5242198705673218},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.45744654536247253},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4501134157180786},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42875584959983826},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41224613785743713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38471686840057373},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.304972767829895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13234943151474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07549050450325012},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w19-8644","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-8644","pdf_url":"https://www.aclweb.org/anthology/W19-8644.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Natural Language Generation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.04731","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.04731","pdf_url":"https://arxiv.org/pdf/1910.04731","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2979827194","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1910.04731v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1910.04731","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.04731","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-8644","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-8644","pdf_url":"https://www.aclweb.org/anthology/W19-8644.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5709710992","display_name":null,"funder_award_id":"EP/N017536/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6629039517","display_name":null,"funder_award_id":"EP/M005429/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320309755","display_name":"Univerzita Karlova v Praze","ror":"https://ror.org/024d6js02"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2979827194.pdf","grobid_xml":"https://content.openalex.org/works/W2979827194.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W222053410","https://openalex.org/W1904365287","https://openalex.org/W1948566616","https://openalex.org/W1956340063","https://openalex.org/W2021618504","https://openalex.org/W2030978506","https://openalex.org/W2034562813","https://openalex.org/W2099471712","https://openalex.org/W2100175927","https://openalex.org/W2101105183","https://openalex.org/W2133512280","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2161181481","https://openalex.org/W2250234233","https://openalex.org/W2251763817","https://openalex.org/W2506483933","https://openalex.org/W2513525008","https://openalex.org/W2530291685","https://openalex.org/W2564590796","https://openalex.org/W2577628354","https://openalex.org/W2578330760","https://openalex.org/W2581637843","https://openalex.org/W2583679610","https://openalex.org/W2598482664","https://openalex.org/W2613372184","https://openalex.org/W2739046565","https://openalex.org/W2782930885","https://openalex.org/W2786472963","https://openalex.org/W2786660442","https://openalex.org/W2805154388","https://openalex.org/W2806532810","https://openalex.org/W2894218541","https://openalex.org/W2897164851","https://openalex.org/W2902236809","https://openalex.org/W2902375724","https://openalex.org/W2914397182","https://openalex.org/W2953035981","https://openalex.org/W2954523245","https://openalex.org/W2962875960","https://openalex.org/W2963223306","https://openalex.org/W2963527228","https://openalex.org/W2963672599","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W2995751991","https://openalex.org/W2251763817","https://openalex.org/W2954622495","https://openalex.org/W3102066094","https://openalex.org/W2159545104","https://openalex.org/W2604598531","https://openalex.org/W3091090827","https://openalex.org/W3167878005","https://openalex.org/W2015807152","https://openalex.org/W3010295468","https://openalex.org/W3092958026","https://openalex.org/W2896835730","https://openalex.org/W3033176851","https://openalex.org/W2028885123","https://openalex.org/W2032471123","https://openalex.org/W2187420087","https://openalex.org/W2467216808","https://openalex.org/W2745068631","https://openalex.org/W1964758795","https://openalex.org/W3105587770"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2],"recurrent":[3],"neural":[4],"network":[5],"based":[6],"system":[7],"for":[8],"automatic":[9],"quality":[10],"estimation":[11],"of":[12,33,50],"natural":[13],"language":[14],"generation":[15],"(NLG)":[16],"outputs,":[17],"which":[18],"jointly":[19],"learns":[20],"to":[21,25,29],"assign":[22],"numerical":[23],"ratings":[24],"individual":[26],"outputs":[27],"and":[28],"provide":[30],"pairwise":[31,42],"rankings":[32],"two":[34,48],"different":[35],"outputs.":[36],"The":[37],"latter":[38],"is":[39],"trained":[40],"using":[41],"hinge":[43],"loss":[44],"over":[45],"scores":[46],"from":[47],"copies":[49],"the":[51],"rating":[52],"network.":[53]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
