Nowadays, the way in which the people interact with computers has changed. Text- or voice-based interfaces are being widely applied in different industries. Among the most used ways of processing the user input are those based on intents or retrieval algorithms. In these solutions, important information of the user could be lost in the process. For the proposed natural language processing pipeline the entities are going to take a principal role, under the assumption that entities are where the purpose of the user resides. Entities fed with context will be projected to a specific domain supported by a knowledge graph, resulting in what has been named as linked entities. These linked entities serve then as a key for searching a top level aggregation concept within our knowledge graph.

翻译：目前,人们与计算机互动的方式已经改变,不同行业正在广泛应用基于文字或语音的界面。最常用的处理用户输入的方法包括基于意图或检索算法的方法。在这些解决方案中,用户的重要信息可能会在过程中丢失。对于拟议的自然语言处理管道,实体将发挥主要作用,前提是实体是用户的所在地。有上下文的实体将投向一个特定领域,辅之以一个知识图表,从而导致被称为关联实体。这些关联实体随后成为在知识图中搜索顶级汇总概念的关键。