SIRM

2000년 도입 · 논문 2편에서 사용

Skim and Intensive Reading Model, or SIRM, is a deep neural network for figuring out implied textual meaning. It consists of two main components, namely the skim reading component and intensive reading component. N-gram features are quickly extracted from the skim reading component, which is a combination of several convolutional neural networks, as skim (entire) information. An intensive reading component enables a hierarchical investigation for both local (sentence) and global (paragraph) representation, which encapsulates the current embedding and the contextual information with a dense connection.

출처: Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model

소개 논문: Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model