TL;DR本文介绍一种使用神经网络方法进行实体识别的系统,主要聚焦于研究如何在建模时引入词汇特征,并通过低维向量空间嵌入和高效训练得到最佳结果,最终在公开数据集上取得了较高的 F1 分数。
Abstract
Neural network approaches to named-entity recognition reduce the need for
carefully hand-crafted features. While some features do remain in
state-of-the-art systems, lexical features have been mostly discarded, w