Summary of the 4th workshop on analytics for noisy unstructured text data (AND)

Roberto Basili, D. Lopresti, Christoph Ringlstetter, Shourya Roy, K. Schulz, L. V. Subramaniam
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引用次数: 0

Abstract

Noisy unstructured text data is ubiquitous in real-world communication. Natural language and the creative ways that humans use it can create problems for computational techniques. Electronic text from the Internet (emails, message boards, newsgroups, blogs, microblogs, wikis, chatlogs and web pages), contact centers (complaints, emails, call transcriptions, message summaries), and mobile phones (SMS) is often noisy – contains spelling errors, abbreviations, non-standard words, false starts, repetitions, missing punctuation, missing case information and special characters. Informal communications are not the only source of noisy text; Text produced by processing signals intended for human use such as printed/handwritten documents, spontaneous speech, and camera-captured scene images, are also noisy.
噪声非结构化文本数据(AND)分析第四届研讨会总结
嘈杂的非结构化文本数据在现实世界的通信中无处不在。自然语言和人类使用自然语言的创造性方式会给计算技术带来问题。来自互联网的电子文本(电子邮件、留言板、新闻组、博客、微博、维基、聊天日志和网页)、联络中心(投诉、电子邮件、电话记录、信息摘要)和移动电话(SMS)的电子文本通常是嘈杂的——包含拼写错误、缩写、不标准的单词、错误的开头、重复、缺少标点符号、缺少案例信息和特殊字符。非正式交流并不是嘈杂文本的唯一来源;通过处理供人类使用的信号(如打印/手写文档、自发语音和相机捕获的场景图像)产生的文本也有噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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