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基于文本的实体嵌入中的编码时间

Towards Encoding Time in Text-Based Entity Embeddings
课程网址: http://videolectures.net/iswc2018_bianchi_towards_encoding_time/  
主讲教师: Federico Bianchi
开课单位: 米兰大学计算机系统与通信系
开课时间: 2018-11-22
课程语种: 英语
中文简介:
知识图(KG)广泛用于知识表示。最近,旨在在嵌入式空间中表示KG结构的方法因其能够捕捉实体和关系之间的高级相似性而变得越来越流行。然而,这些嵌入表示通常很少考虑时间方面。现实世界中的实体以一个定义的时间间隔存在和活动,因此时间是它们描述中的一个有价值的信息元素。在这项工作中,我们研究了时间对从文本生成的实体的嵌入表示的影响。初步评估表明,为时间实体(例如,年)生成特定表示可以产生信息量更大的实体表示空间。然后,我们提出了一种新的时间感知相似性度量,该度量可以通过压平实体之间的时间距离或提高时间距离来评估实体之间的相似性。
课程简介: Knowledge Graphs (KG) are widely used for knowledge representation. Recently, approaches aimed to represent the KG structure in an embedded space have become increasingly popular for their ability to capture high-level similarities between entities and relations. However, these embedded representations commonly give low consideration to the time aspect. Real-world entities exist and act in a defined temporal interval, consequently time is a valuable element of information in their description. In this work, we study the influence of time on the embedded representations of entities that are generated from text. The preliminary evaluation shows that generating a specific representation for temporal entities (e.g., years) can result in a more informative entity representation space. Then, we propose a new time-aware similarity metric that can be used to evaluate the similarity between entities by either flattening their time distance or boosting it.
关 键 词: 基于文本的实体嵌入; 编码时间; 文本生成的实体; 嵌入表示
课程来源: 视频讲座网
数据采集: 2022-12-15:cyh
最后编审: 2023-05-15:cyh
阅读次数: 26