Papers by Maaike de Boer

2 papers
Semantic Role Labelling for Dutch Law Texts (2022.lrec-1)

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Challenge: Existing methods to extract formalised representations of legal texts are labor-intensive . a Flint language is a knowledge representation language that allows us to express meaning of sources of norms .
Approach: They propose a method to extract structured representations in the Flint language from natural language.
Outcome: The proposed method outperforms the rule-based method on the Dutch Aliens Act.
Towards Data-driven Ontologies: a Filtering Approach using Keywords and Natural Language Constructs (2020.lrec-1)

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Challenge: Creating ontologies is an expensive task.
Approach: They evaluate two commonly used methods, OpenIE and co-occurrences, and use them to generate ontologies from documents.
Outcome: The proposed methods perform better on pizza and agriculture document sets than OpenIE and co-occurrences.

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