Definition: 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.
Input: Citation texts are sometimes not very informative or in some cases inaccurate by themselves; they need the appropriate context from the referenced paper to re ect its exact contributions. To address this problem, we propose an unsupervised model that uses distributed representation of words as well as domain knowledge to extract the appropriate context from the reference paper. Evaluation results show the e ectiveness of our model by signi cantly outperforming the state-of-the-art. We furthermore demonstrate how an e ective contextualization method results in improving citation-based summarization of the scienti c articles.

Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge