From Master Projects
|has title::Mathematical Entity Recognition System|
|Master:||project within::Artificial Intelligence, Intelligent Systems|
|Student name:||student name::Arash Parnia|
|Start||start date:=March 01 2018|
|End||end date:=August 31 2018|
Mathematical Entities capture the intent of the author in a symbolic and formalized way. Conventions in a scientific field often dictate the use of a mathematical entity. Authors often include a list of mathematical entities within their documents. We have used these lists to automatically annotate mathematical entities that appear within the text. What separates a mathematical entity from a regular word is the context in which they appear. Using this context as well as syntactic features of our entities we have developed various classification methods to recognize Named Mathematical Entities from scientific texts.