MadDog：一个基于Web的首字母缩略词识别与消歧系统
MadDog: A Web-based System for Acronym Identification and Disambiguation
摘要：
缩略语是较长短语的缩写形式，它们在各种写作中无处不在。尽管缩略语有助于节省写作空间和读者阅读时间，但也给理解文本带来挑战，特别是如果文本中没有定义缩略语，或者在长文本中使用的缩略语与其定义相去甚远。为了缓解这一问题，研究界和软件开发人员都做出了相当大的努力来建立识别缩略语并在文本中找到其正确含义的系统。然而，没有一个现有的作品提供了一个统一的解决方案，能够处理缩略语在各个领域，并公开提供。因此，我们提供了第一个基于Web的首字母缩略词识别和消歧系统，它可以处理来自各个领域，包括科学，生物医学和一般领域的首字母缩略词。该网络系统可在http://iq.cs.uoregon.edu:5000上公开获取，演示视频可在https://youtu.be/IkSh7LqI42M上获取。系统源代码也可在https://github.com/amirveyseh/MadDog上获得。
英文摘要：
Acronyms and abbreviations are the short-form of longer phrases and they are ubiquitously employed in various types of writing. Despite their usefulness to save space in writing and reader's time in reading, they also provide challenges for understanding the text especially if the acronym is not defined in the text or if it is used far from its definition in long texts. To alleviate this issue, there are considerable efforts both from the research community and software developers to build systems for identifying acronyms and finding their correct meanings in the text. However, none of the existing works provide a unified solution capable of processing acronyms in various domains and to be publicly available. Thus, we provide the first web-based acronym identification and disambiguation system which can process acronyms from various domains including scientific, biomedical, and general domains. The web-based system is publicly available at http://iq.cs.uoregon.edu:5000 and a demo video is available at https://youtu.be/IkSh7LqI42M. The system source code is also available at https://github.com/amirveyseh/MadDog.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
