In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Abstract: In order to solve the problem of poor universality and the absence of contextual information in word similarity calculation based on dictionary, this paper proposes a semantic similarity ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

TeLL is an end-to-end tool to suggest suitable log levels for logging statements in source code by exploiting multi-level code block information (i.e., intra-block and inter-block information) with ...

Abstract: Professional customer service to solve or circulate corresponding customer problems can not only solve customer problems quickly, improve the service image of the enterprise, but also lay a ...