Maria Chiara Parisi

Maria Chiara Parisi
University of Amsterdam | UVA · Institute of Logic, Language and Computation

Master of Arts

About

1
Publication
15
Reads
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5
Citations
Introduction
I work with qualitative, quantitative and computational methods applied to the history of philosophy. I focus on the use of computational tools in the analysis of ancient Greek and (Neo-)Latin philosophical texts. My research interests are mainly in (computational) history of ideas, methodology in the history of philosophy, digital humanities, digital classics, history of ancient philosophy (in particular Aristotle), history of axiomatics and philosophy of science, metaphysics, and mereology.
Additional affiliations
September 2021 - present
University of Amsterdam
Position
  • PhD Student
Description
  • With a focus on clarifying the emergence of the paradox about mathematics (mathematics is explanatory vs. mathematics is not explanatory) within the ancient debate on scientific explanation, my research aims to find the stem and to assess the spread of the paradox over nine centuries by identifying actors, reconstructing the views and elucidating conceptual presuppositions, through qualitative, quantitative and computational methods.
February 2021 - July 2021
Vrije Universiteit Amsterdam
Position
  • Research Assistant
Description
  • I apply computational tools for topic modeling to a Greek philosophical corpus (~15 authors, 25 texts, 2M words) including Aristotle’s Organon or logical works and its commentaries between the 2nd and 6th cent. CE.
October 2020 - December 2020
Vrije Universiteit Amsterdam
Position
  • Research Assistant
Description
  • I am researching digital tools for topic modeling ancient and medieval philosophy, especially for ancient Greek, Latin and Arabic corpora.
Education
September 2017 - July 2019
University of Amsterdam
Field of study
  • Philosophy
September 2013 - July 2016
Sapienza University of Rome
Field of study
  • Philosophy

Publications

Publication (1)
Conference Paper
We address the problem of creating and evaluating quality Neo-Latin word embeddings for the purpose of philosophical research, adapting the Nonce2Vec tool to learn embeddings from Neo-Latin sentences. This distributional semantic modeling tool can learn from tiny data incrementally, using a larger background corpus for initialization. We conduct tw...

Projects

Project (1)
Project
Imagine there was a `Google Concepts', a tool that allowed you to trace how ideas such as tolerance, evolution, or science changed through history in all digital texts available to you. This project establishes the proper methodological foundations to make such a tool possible in the future.