From Text to Time: Machine Learning Approaches to Temporal Information Extraction from Text KU Leuven
Temporal information extraction is and has been a crucial aspect of automatic language understanding. With the increase in digitization of texts like news papers, but also electronic health records, high quality extraction of temporal information about the described events gives rise to many applications, like question answering, summarization, temporal information retrieval, and automatic timeline visualization.
In this dissertation, ...