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NLP as an Intermediary for Historical Research| title | NLP as an Intermediary for Historical Research |
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| start_date | 2023/03/15 |
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| schedule | 14h-15h |
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| online | no |
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| location_info | en présentiel et en visioconférence via le lien Teams |
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| summary | In this talk, I will focus on how I use methods from NLP (text classification, parsing, topic modeling, embeddings) toolkit in my work as a historian. Rather than focusing my attention on improving NLP, I show how they function as an intermediary in my research workflow. NLP is great for extracting information from digitized historical sources, and as such it can inform search and exporation of digitized archives. However, if we want to model historical processes or phenomena, we need to think how we can use these extracted features as input for methods outside of NLP.
Using examples from my own work, I will highlight the importance of NLP but I also argue that we need to think broaden our toolkit if we truly want to engage with history in a computational manner. |
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| responsibles | Rolin |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2023/03/01 14:15 UTC |
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