{"title":"团队UEDIN @ AutoMin 2021:通过学习过滤提取的摘要来创建会议记录","authors":"Philip Williams, B. Haddow","doi":"10.21437/automin.2021-10","DOIUrl":null,"url":null,"abstract":"We describe the University of Edinburgh’s submission to the First Shared Task on Automatic Minuting. We developed an English-language minuting system for Task A that combines BERT-based extractive summarization with logistic regression-based filtering and rule-based pre- and post-processing steps. In the human evaluation, our system averaged scores of 2.1 on adequacy, 3.9 on grammatical correctness, and 3.3 on fluency.","PeriodicalId":186820,"journal":{"name":"First Shared Task on Automatic Minuting at Interspeech 2021","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Team UEDIN @ AutoMin 2021: Creating Minutes by Learning to Filter an Extracted Summary\",\"authors\":\"Philip Williams, B. Haddow\",\"doi\":\"10.21437/automin.2021-10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe the University of Edinburgh’s submission to the First Shared Task on Automatic Minuting. We developed an English-language minuting system for Task A that combines BERT-based extractive summarization with logistic regression-based filtering and rule-based pre- and post-processing steps. In the human evaluation, our system averaged scores of 2.1 on adequacy, 3.9 on grammatical correctness, and 3.3 on fluency.\",\"PeriodicalId\":186820,\"journal\":{\"name\":\"First Shared Task on Automatic Minuting at Interspeech 2021\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First Shared Task on Automatic Minuting at Interspeech 2021\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/automin.2021-10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Shared Task on Automatic Minuting at Interspeech 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/automin.2021-10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Team UEDIN @ AutoMin 2021: Creating Minutes by Learning to Filter an Extracted Summary
We describe the University of Edinburgh’s submission to the First Shared Task on Automatic Minuting. We developed an English-language minuting system for Task A that combines BERT-based extractive summarization with logistic regression-based filtering and rule-based pre- and post-processing steps. In the human evaluation, our system averaged scores of 2.1 on adequacy, 3.9 on grammatical correctness, and 3.3 on fluency.