Event Detection and Classification in Natural Texts

The detection and analysis of events in natural language texts plays an important role in several NLP applications such as summarization and guestion answering. In this study we introduce a machine leaming-based approach that can detect and classify verbal and infinitival events in Hungarian texts. First we identify the multiword noun 4 verb and noun 4 infinitive expressions. Then the events are detected and the identified events are classified. For each problem, we applied binary classifiers based on rich feature sets. The models were expanded with rule-based methods too