Teacher:In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Teacher: Now, understand the problem? Solve this instance: Event factuality identification plays an important role in deep NLP applications. In this paper, we propose a deep learning framework for this task which first extracts essential information from raw texts as the inputs and then identifies the factuality of events via a deep neural network with a proper combination of Bidirectional Long Short-Term Memory (BiLSTM) neural network and Convolutional Neural Network (CNN). The experimental results on FactBank show that our framework significantly outperforms several state-of-the-art baselines.
Student:
Event Factuality Identification via Deep Neural Networks