{"title":"Learning Question Similarity","authors":"Pooja Bihani, Ashay Walke","doi":"10.1145/3380688.3380713","DOIUrl":null,"url":null,"abstract":"Question-answer platforms are trending over the internet nowadays. Clustering questions which ask the same question is a challenging problem faced by such platforms. The authors will discuss and implement techniques that will tell them whether a given pair of questions are asking the same question. They will do this by finding the semantic relationship between the questions. Manhattan Long short-term memory model with Area Under ROC Curve 0.81 is the model which performs the best among all the trained and pre-trained models which they will be discussing in this paper.","PeriodicalId":414793,"journal":{"name":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Machine Learning and Soft Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3380688.3380713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Question-answer platforms are trending over the internet nowadays. Clustering questions which ask the same question is a challenging problem faced by such platforms. The authors will discuss and implement techniques that will tell them whether a given pair of questions are asking the same question. They will do this by finding the semantic relationship between the questions. Manhattan Long short-term memory model with Area Under ROC Curve 0.81 is the model which performs the best among all the trained and pre-trained models which they will be discussing in this paper.