{"title":"无平行语料库的n元事件语化的领域不可知方法","authors":"B. Gyawali, Claire Gardent, Christophe Cerisara","doi":"10.18653/v1/W15-4703","DOIUrl":null,"url":null,"abstract":"We present a method for automatically generating descriptions of biological events encoded in the KB Bio 101 Knowledge base. We evaluate our approach on a corpus of 336 event descriptions, provide a qualitative and quantitative analysis of the results obtained and discuss possible directions for further work.","PeriodicalId":307841,"journal":{"name":"European Workshop on Natural Language Generation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Domain Agnostic Approach to Verbalizing n-ary Events without Parallel Corpora\",\"authors\":\"B. Gyawali, Claire Gardent, Christophe Cerisara\",\"doi\":\"10.18653/v1/W15-4703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method for automatically generating descriptions of biological events encoded in the KB Bio 101 Knowledge base. We evaluate our approach on a corpus of 336 event descriptions, provide a qualitative and quantitative analysis of the results obtained and discuss possible directions for further work.\",\"PeriodicalId\":307841,\"journal\":{\"name\":\"European Workshop on Natural Language Generation\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Workshop on Natural Language Generation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/W15-4703\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Workshop on Natural Language Generation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W15-4703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Domain Agnostic Approach to Verbalizing n-ary Events without Parallel Corpora
We present a method for automatically generating descriptions of biological events encoded in the KB Bio 101 Knowledge base. We evaluate our approach on a corpus of 336 event descriptions, provide a qualitative and quantitative analysis of the results obtained and discuss possible directions for further work.
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