Cross-Lingual Alignment of FrameNet Annotations through Hidden Markov Models

摘要

Resources annotated with frame semantic information support the development of robust systems for shallow semantic parsing. Several researches proposed to automatically transfer the semantic information available for English corpora towards other resource-poor languages. In this paper, a semantic transfer approach is proposed based on Hidden Markov Models applied to aligned corpora. The experimental evaluation reported over an English-Italian corpus is successful, achieving 86% of accuracy on average, and improves on the state of the art methods for the same task.