Aimée Alonso-Reina, Robiert Sepúlveda-Torres, E. Saquete, M. Palomar
{"title":"团队GPLSI。自动事实检查的方法","authors":"Aimée Alonso-Reina, Robiert Sepúlveda-Torres, E. Saquete, M. Palomar","doi":"10.18653/v1/D19-6617","DOIUrl":null,"url":null,"abstract":"Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.","PeriodicalId":153447,"journal":{"name":"Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Team GPLSI. Approach for automated fact checking\",\"authors\":\"Aimée Alonso-Reina, Robiert Sepúlveda-Torres, E. Saquete, M. Palomar\",\"doi\":\"10.18653/v1/D19-6617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.\",\"PeriodicalId\":153447,\"journal\":{\"name\":\"Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/D19-6617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/D19-6617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
摘要
Fever Shared 2.0 Task是一项旨在开发自动事实检查系统的挑战。我们对Fever 2.0的方法是基于先前由Team Athene UKP TU Darmstadt开发的提案。我们的建议修改了句子检索阶段，使用三元组(主语、宾语、动作)形式的语句提取和表示。从声明中提取三元组，并使用语义相似性将其与从维基百科文章中提取的三元组进行比较。我们的结果令人满意，但仍有改进的余地。
Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
