Automatically Identifying Eviction Cases and Outcomes Within Case Law of Dutch Courts of First Instance
In her talk EVICT’s own Masha Medvedeva will talk about expanding datasets for legal research using machine learning. She will discuss her work on collecting eviction-related cases among all cases published by the Dutch judiciary, and identifying their outcomes, i.e. whether the tenant was indeed evicted or not. While the talk will focus specifically on eviction cases, proposed methodologies have a high potential to be applicable for collecting case law in other domains, e.g., bankruptcy, divorce, etc.
This talk will be held online and begins at 4:00 pm and end at 5:00 pm CET (Amsterdam/Berlin/Paris, UTC+01:00).
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Information about the speaker
Masha Medvedeva is a computational linguist from Russia. She is pursuing her PhD at the Centre for Language and Cognition Groningen and Department of Legal Methods. Her project focuses on automatic prediction of court decisions. As part of her work, she is developing a machine learning system for classification and analysis of Dutch case law, as well as specifically eviction cases.
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