Name: Natural Language Processing in Humanities
Start: 2022-11-10T18:00:00+01:00
End: 2022-11-10T19:00:00+01:00

**Details**

The Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and minorities in the field.

All genders may attend our meetups.

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**Agenda**

18:00 – Introduction by the Brussels WiMLDS coordinator

18:05 – “Natural Language Processing in Humanities” by M. Fantoli & M. de Lohneux

In this talk, we will discuss how NLP and Humanities research can be combined to, on the one hand, stimulate the research on NLP and, on the other hand, enrich our understanding of historical texts. We will focus on the language of science, particularly the study of The Spirals of Archimedes, one of the most famous mathematicians of the ancient world (and of all times). His work circulated in Early Modern and Modern Europe primarily via a Latin translation by Jacopo da San Cassiano: by describing the process of parsing this text, we show how NLP advanced techniques can support the study of such low-resource and highly specialized languages. First, we introduce the historical and linguistic relevance of Achimedes’ works and their translation. Subsequently, we describe the deep Biaffine parser used for this pilot study. In particular, we motivate the choice of using the technique of treebank embeddings in light of the characteristics of the texts. We will then provide an overview of the training and test data creation process and discuss the results obtained with the parsing. We conclude by reflecting on the advantages and limitations of integrating NLP into Humanities research in light of this experience.

18:50 – Q&A Session

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**Details about the speakers**

Margherita Fantoli is Assistant Professor of Digital Humanities at the KU Leuven. With a combined background in Classical Literature (Latin and Ancient Greek) and Mathematics, she works on applying computational methodologies to historical documents. In particular, she is interested in studying Latin scientific texts and the NLP processing of Latin.

Miryam de Lhoneux is Assistant Professor in Natural Language Processing at the department of Computer Science at KU Leuven. She has a background in Linguistics and Artificial Intelligence and works on linguistically informed Natural Language Processing with a focus on multilinguality.

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During the event, you can share content using #WiMLDSBrussels & @WiMLDS_Brussels

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Online meetup information:
WiMLDS is strongly inviting you to read our guidelines about organizing pleasant and successful online meetups: [https://github.com/WiMLDS/online-meetups](https://github.com/WiMLDS/online-meetups)

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Code of Conduct

WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.

Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.

Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: [https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct](https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct)

Maja Micevska

WiMLDS

Brussels Women in Machine Learning and Data Science

Technology

Artificial Intelligence

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Gender Equality

Data Science

Deep Learning

Natural Language Processing in Humanities

Online event

Partager

Brussels Women in Machine Learning and Data Science

Natural Language Processing in Humanities

Brussels Women in Machine Learning and Data Science

Détails

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