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Acronyms and abbreviations are the short-form of longer phrases and they areubiquitously employed in various types of writing. Despite their usefulness tosave space in writing and reader's time in reading, they also providechallenges for understanding the text especially if the acronym is not definedin the text or if it is used far from its definition in long texts. Toalleviate this issue, there are considerable efforts both from the researchcommunity and software developers to build systems for identifying acronyms andfinding their correct meanings in the text. However, none of the existing worksprovide a unified solution capable of processing acronyms in various domainsand to be publicly available. Thus, we provide the first web-based acronymidentification and disambiguation system which can process acronyms fromvarious domains including scientific, biomedical, and general domains. Theweb-based system is publicly available at http://iq.cs.uoregon.edu:5000 and ademo video is available at https://youtu.be/IkSh7LqI42M. The system source codeis also available at https://github.com/amirveyseh/MadDog.

MadDog: A Web-based System for Acronym Identification and Disambiguation