专用新词发现原子能力

基于信息熵Entropy、内部凝聚度PMI、闭包子集、停用词和大规模中文词林去噪的一个专用的新词发现能力，解决各个业务场景中面临的未登录词语义缺失带来的模型误差，帮助模型更高效的落地应用。A dedicated new word discovery capability based on denoising methods that utilize information entropy, pointwise mutual information (PMI) for internal cohesion evaluation, closed subsets, stop words, and a large-scale Chinese lexical repository. This capability addresses model errors caused by semantic deficits of out-of-vocabulary (OOV) terms across diverse business scenarios, facilitating more efficient deployment and practical application of relevant models.

搜集汇总

背景与挑战

背景概述

该数据集提供专用新词发现能力，通过结合信息熵、内部凝聚度等算法有效识别未登录词，解决语义缺失问题，提升模型应用效果。