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? If you are still confused, see the following example:
We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin.
Solution: A Neural Local Coherence Model
Reason: This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage

Now, solve this instance: Davoud Mougouei School of Computer Science, Engineering, and Mathematics Flinders University Adelaide, Australia davoud.mougouei@inders.edu.au David M. W. Powers School of Computer Science, Engineering, and Mathematics Flinders University Adelaide, Australia david.powers@inders.edu.au Asghar Moeini School of Computer Science, Engineering, and Mathematics Flinders University Adelaide, Australia asghar.moeini@inders.edu.au
Student:
An Integer Programming Model for Binary Knapsack Problem with Value-Related Dependencies among Elements