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Machine Learning for Discourse Markers by douifiabdou09 is a document available to read on EtoBox.
What is Machine Learning for Discourse Markers about?
This paper explores the automatic acquisition of the meaning of discourse markers using machine learning techniques, focusing on three subtasks: polarity, veridicality, and type classification. The study achieves over 90% accuracy in classifying discourse markers, which signal relationships between discourse units and are crucial for natural language processing. The research aims to provide a comprehensive classification method to aid in discourse parsing and the generation of natural language discourse.
- Author
- douifiabdou09
- Language
- EN