ReadIT4mE! – A Jason & CArtAgO MAS to Automatically Understand Academic Papers’ Content


ReadIT4mE! – A Jason & CArtAgO MAS to Automatically Understand Academic Papers’ Content

classic project

Authors

Abstract

We were working on our thesis, reading tons of useless papers just because the title was not very self-explanatory so we could not figure out what such papers will talk about...but suddenly we said to each other: Why do we have to read all these useless stuff !? What if someone could do this in place of us? What if someTHING instead of someONE??. Then ReadIT4mE! came to life  Apart from jokes, we aimed at creating a system capable of automatically extract key-phrases from academic papers in a simple and fast way, taking a small amount of pre-existing examples to train and learn a proper model for subsequent text mining. Our main objectives were ease of use for non-technical people, involve the end-user asking for feedbacks on text mining engine work and maximize performance. Accuracy of extracted key-phrases was too in the list, but it depends more on the quality of the tool used for extraction than on our usage of it.

Material

Course

— a.y.

2010/2011

— credits

9

— cycle

2nd cycle

— language

wit.gif

teachers

— professor

Andrea Omicini

— tutors

Elena Nardini

context

— university

Alma Mater Studiorum-Università di Bologna

— campus

Cesena

— department / faculty / school

Ingegneria CE (0031)

— 2nd cycle

8200 Ingegneria informatica 

URLs & IDs

AMS Page
Course Timetable

— course ID

34789

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