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首页> 外文会议>IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering >Metagraph Knowledge Base and Natural Language Processing Pipeline for Event Extraction and Time Concept Analysis
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Metagraph Knowledge Base and Natural Language Processing Pipeline for Event Extraction and Time Concept Analysis

机译：Metabraph知识库和自然语言处理管道，用于事件提取和时间概念分析

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摘要

Analysis of sentence meaning is necessary to improve the precision and recall of information retrieval. Event extraction is one of methods used for this purpose. An important step in solving this problem is the time extraction and processing. It is necessary to classify time intervals and determine the relation of succession for them. Intervals can be expressed with specific dates and times, pronouns and tense nouns or they are implied with successive events description. The authors propose to use a metagraph knowledge base and a natural language processing pipeline. The metagraph has the emergence property for a detailed description of a specific concept using a graph fragment. This representation of knowledge allows setting different types of relations between time concepts and states of objects. The study was carried out to extract time intervals from OpenCorpora dataset. The number of time concepts in knowledge base was calculated according to their types.
机译：句子意义的分析是为了提高信息检索的精度和回忆。事件提取是用于此目的的方法之一。解决这个问题的一个重要步骤是时间提取和处理。有必要对时间间隔进行分类，并确定其继承关系。间隔可以用特定的日期和时间表达，代词和时态名词，或者它们被暗示与连续事件描述。作者建议使用Metagraph Gresis知识库和自然语言处理管道。 Metabraph具有使用图形片段的特定概念的详细描述的出现特性。该知识的表示允许在时间概念和对象状态之间设置不同类型的关系。进行该研究以从OpenCorpora数据集中提取时间间隔。知识库中的时间概念数量根据它们的类型计算。

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