{"id":"https://openalex.org/W2902293828","doi":"https://doi.org/10.18653/v1/w18-6543","title":"Handling Rare Items in Data-to-Text Generation","display_name":"Handling Rare Items in Data-to-Text Generation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2902293828","doi":"https://doi.org/10.18653/v1/w18-6543","mag":"2902293828"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6543","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6543","pdf_url":"https://www.aclweb.org/anthology/W18-6543.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 11th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-6543.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090458146","display_name":"Anastasia Shimorina","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Anastasia Shimorina","raw_affiliation_strings":["Lorraine University / LORIA, Nancy, France","SYNALP - Natural Language Processing : representations, inference and semantics (France)"],"affiliations":[{"raw_affiliation_string":"Lorraine University / LORIA, Nancy, France","institution_ids":["https://openalex.org/I4210121838"]},{"raw_affiliation_string":"SYNALP - Natural Language Processing : representations, inference and semantics (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087459652","display_name":"Claire Gardent","orcid":"https://orcid.org/0000-0002-3805-6662"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claire Gardent","raw_affiliation_strings":["CNRS / LORIA, Nancy, France","SYNALP - Natural Language Processing : representations, inference and semantics (France)"],"affiliations":[{"raw_affiliation_string":"CNRS / LORIA, Nancy, France","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"SYNALP - Natural Language Processing : representations, inference and semantics (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090458146"],"corresponding_institution_ids":["https://openalex.org/I4210121838"],"apc_list":null,"apc_paid":null,"fwci":3.2155,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.93670692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T13629","display_name":"Text Readability and Simplification","score":0.9962000250816345,"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/copying","display_name":"Copying","score":0.9409587383270264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7438262104988098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4556272029876709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34727269411087036},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33261775970458984}],"concepts":[{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.9409587383270264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438262104988098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4556272029876709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34727269411087036},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33261775970458984},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w18-6543","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6543","pdf_url":"https://www.aclweb.org/anthology/W18-6543.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 11th International Conference on Natural Language Generation","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02460010v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02460010","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 11th International Conference on Natural Language Generation, Nov 2018, Tilburg University, Netherlands. pp.360-370, ⟨10.18653/v1/W18-6543⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6543","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6543","pdf_url":"https://www.aclweb.org/anthology/W18-6543.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 11th International Conference on Natural Language Generation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G285187982","display_name":"Generating Text from Semantic Web Data","funder_award_id":"ANR-14-CE24-0033","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902293828.pdf","grobid_xml":"https://content.openalex.org/works/W2902293828.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W1948566616","https://openalex.org/W2078861931","https://openalex.org/W2101105183","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2250530145","https://openalex.org/W2307381258","https://openalex.org/W2507756961","https://openalex.org/W2557480356","https://openalex.org/W2606974598","https://openalex.org/W2739874095","https://openalex.org/W2740107682","https://openalex.org/W2748261613","https://openalex.org/W2786660442","https://openalex.org/W2787022103","https://openalex.org/W2798552002","https://openalex.org/W2902677561","https://openalex.org/W2903428882","https://openalex.org/W2918487654","https://openalex.org/W2962899377","https://openalex.org/W2963212250","https://openalex.org/W2963260202","https://openalex.org/W2963558220","https://openalex.org/W2963910262","https://openalex.org/W2964165364","https://openalex.org/W2964308564","https://openalex.org/W2994987951"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4308771405","https://openalex.org/W2355873265","https://openalex.org/W2963669501","https://openalex.org/W3112369086","https://openalex.org/W3080197661","https://openalex.org/W4318471783","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Neural":[0],"approaches":[1],"to":[2],"data-to-text":[3],"generation":[4],"generally":[5],"handle":[6],"rare":[7,41,61],"input":[8],"items":[9,42,64],"using":[10,33],"either":[11],"delexicalisation":[12,49],"or":[13],"a":[14],"copy":[15],"mechanism.":[16],"We":[17,37],"investigate":[18],"the":[19,53,68,79],"relative":[20],"impact":[21,44,69],"of":[22,70],"these":[23,71],"two":[24,27,34,72],"methods":[25],"on":[26,77,84],"datasets":[28],"(E2E":[29],"and":[30,32,50,62,65,83,92],"WebNLG)":[31],"evaluation":[35],"settings.":[36],"show":[38],"(i)":[39],"that":[40,47,57,67],"strongly":[43],"performance;":[45],"(ii)":[46],"combining":[48],"copying":[51,58],"yields":[52],"strongest":[54],"improvement;":[55],"(iii)":[56],"underperforms":[59],"for":[60],"unseen":[63],"(iv)":[66],"mechanisms":[73],"greatly":[74],"varies":[75],"depending":[76],"how":[78,85],"dataset":[80],"is":[81,87],"constructed":[82],"it":[86],"split":[88],"into":[89],"train,":[90],"dev":[91],"test":[93],"1":[94],".":[95]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}