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: The current information analysis capabilities of legal professionals are still lagging behind the explosive growth in legal document availability through digital means, driving the need for higher efficiency Legal Information Retrieval (IR) and Question Answering (QA) methods. The IR task in particular has a set of unique challenges that invite the use of semantic motivated NLP techniques. In this work, a two-stage method for Legal Information Retrieval is proposed, combining lexical statistics and distributional sentence representations in the context of Competition on Legal Information Extraction/Entailment (COLIEE). The combination is done by means of disambiguation rules, applied over the lexical rankings when those deemed unreliable for a given query. Competition and experimental results indicate small gains in overall retrieval performance using the proposed approach. Additionally, a analysis of error and improvement cases is presented for a better understanding of the contributions.

Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities