Cross-lingual Annotation Projection in Legal Texts
Andrea Galassi, Kasper Drążewski, Marco Lippi, Paolo Torroni
Abstract
We study annotation projection in text classification problems where source documents are published in multiple languages and may not be an exact translation of one another. In particular, we focus on the detection of unfair clauses in privacy policies and terms of service. We present the first English-German parallel asymmetric corpus for the task at hand. We study and compare several language-agnostic sentence-level projection methods. Our results indicate that a combination of word embeddings and dynamic time warping performs best.
Topics & Concepts
Computer scienceNatural language processingAnnotationArtificial intelligenceFocus (optics)Projection (relational algebra)GermanSentenceMachine translationTask (project management)Word (group theory)Information retrievalLinguisticsAlgorithmPhysicsEconomicsOpticsManagementPhilosophyAdvanced Text Analysis TechniquesTopic ModelingNatural Language Processing Techniques