图 书 馆
人工智能处理文本数据Artificial Intelligence Handling Text Data |
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| 课程网址: | http://videolectures.net/is2012_mladenic_grobelnik_text_data/ |
| 主讲教师: | Dunja Mladenić; Marko Grobelnik |
| 开课单位: | 约瑟夫·斯特凡研究所 |
| 开课时间: | 2012-11-16 |
| 课程语种: | 英语 |
| 中文简介: |  文字是人与人之间传统的交流方式之一。随着电子形式文本数据的日益普及，通过计算机处理和分析文本变得流行起来。使用机器学习方法处理文本数据给该领域带来了有趣的挑战，该领域通过结合一些自然语言细节得到了进一步扩展。由于这些方法能够解决与文本数据相关的更复杂的问题，因此对信息检索、机器学习、统计数据分析、数据挖掘、自然语言处理、语义技术等不同研究领域的方法组合的期望越来越高。如今，自动文本分析是许多系统不可或缺的一部分，将研究能力的界限推向了人工智能梦想，即从文本中学习永无止境，旨在模仿人类学习的方式。该论文介绍了我们亲自参与的斯洛文尼亚语文本分析研究的发展，指出了研究已经解决和仍在解决的有趣研究问题、已经解决的示例任务以及在此过程中遇到的一些挑战。 |
| 课程简介: | Text is one of the traditional ways of communication between people. With the growing availability of text data in electronic form, handling and analysis of text by means of computers gained popularity. Handling text data with machine learning methods brought interesting challenges to the area that got further extended by incorporation of some natural language specifics. As the methods were capable of addressing more complex problems related to text data, the expectations got bigger calling for a combination of methods from different research areas including information retrieval, machine learning, statistical data analysis, data mining, natural language processing, semantic technologies. Nowadays automatic text analysis is an integral part of many systems, pushing boundaries of research capabilities towards artificial intelligence dream on never ending learning from text aiming at mimicking ways of human learning. The paper presents development of text analysis research in Slovenian that we have been personally involved in, pointing out interesting research problems that have been and are still addressed by the research, example tasks that have been addressed and some challenges on the way. |
| 关 键 词: | 电子文本数据; 机器文本处理; 自然语言处理 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-16：zyk |
| 最后编审: | 2024-01-16：liyy |
| 阅读次数: | 54 |