Event Detection and Classification in Hungarian Natural Texts
Zoltán Subecz · European Scientific Journal ESJ · 2019
The detection and analysis of events in natural language texts plays an important role in several NLP applications such as summarization and question answering.This paper focuses on introducing a machine learningbased approach that can detect and classify verbal and infinitival events in Hungarian texts.First, the multiword noun + verb and noun + infinitive expressions were identified.Then the events are detected and the identified events are classified.For each problem, binary classifiers were applied based on rich feature sets.The models were expanded with rule-based methods.