{"title":"布局和语言:利用语言资源探索表格中的文本块发现","authors":"Matthew F. Hurst","doi":"10.1109/ICDAR.2001.953844","DOIUrl":null,"url":null,"abstract":"Identifying the textual content of table cells requires, in part, the successful resolution of ambiguities confusing multi-row cells and single-row cells, as well as the resolution of other layout based ambiguities. This paper investigates the application of linguistic resources to this problem and discusses algorithms that exploit both phrasal dictionaries and bigram language models for discovering the content of cells in flat text files.","PeriodicalId":277816,"journal":{"name":"Proceedings of Sixth International Conference on Document Analysis and Recognition","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Layout and language: exploring text block discovery in tables using linguistic resources\",\"authors\":\"Matthew F. Hurst\",\"doi\":\"10.1109/ICDAR.2001.953844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Identifying the textual content of table cells requires, in part, the successful resolution of ambiguities confusing multi-row cells and single-row cells, as well as the resolution of other layout based ambiguities. This paper investigates the application of linguistic resources to this problem and discusses algorithms that exploit both phrasal dictionaries and bigram language models for discovering the content of cells in flat text files.\",\"PeriodicalId\":277816,\"journal\":{\"name\":\"Proceedings of Sixth International Conference on Document Analysis and Recognition\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Sixth International Conference on Document Analysis and Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2001.953844\",\"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 Sixth International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2001.953844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Layout and language: exploring text block discovery in tables using linguistic resources
Identifying the textual content of table cells requires, in part, the successful resolution of ambiguities confusing multi-row cells and single-row cells, as well as the resolution of other layout based ambiguities. This paper investigates the application of linguistic resources to this problem and discusses algorithms that exploit both phrasal dictionaries and bigram language models for discovering the content of cells in flat text files.