normalized pointwise mutual information Normalized pointwise mutual information(NPMI)是自然语言处理(NLP)分析中经常使用的技术。它用于测量一个词和某个语料(即一组文档)中的另一个词的相关性。NPMI不仅可以用于语料库,还用于计算语料库在不同时间或主题下的词汇相关性。 1. 什么是归一化点间互信息? 归一化点...
NLP problems, however, need not be restricted to two-way co-occurrences; often, a particular problem can be more naturally tackled when formulated as a multi-way problem. In this paper, we explore two multivariate generalizations of pointwise mutual information, and explore their usefulness and ...
Two multivariate generalizations of pointwise mutual information Since its introduction into the NLP community, pointwise mutual information has proven to be a useful association measure in numerous natural language proc... TVD Cruys - Association for Computational Linguistics 被引量: 66发表: 2011年 Str...
Since its introduction into the NLP community, pointwise mutual information has proven to be a useful association measure in numerous natural language processing applications such as collocation extraction and word space models. In its original form, it is restricted to the analysis of two-way co-oc...
pointwiseNLp 教程 nlp tool 导读PaddleNLP 是兼具科研学习和产业实践能力的 Python NLP 工具包,提供中文领域丰富的预训练模型和部署工具,被高校、企业开发者广泛应用。近日,PaddleNLP v2.1正式发布,为开发者带来三项重要更新:开箱即用的工业级NLP预置任务能力Taskflow:八大经典场景一键预测。预训练时代的微调新范式应用:...
Since its introduction into the nlp community, pointwise mutual information has proven to be a useful association measure in numerous natural language processing applications such as collocation extraction and word space models. In its original form, it is restricted to the analysis of two-way co-...
pointwiseNLp 教程 #PointwiseNLP 教程 自然语言处理(NLP)是计算机科学与人工智能的重要交叉领域,旨在通过算法和模型来处理与理解人类语言。在NLP的众多任务中,点对点(pointwise)方法被广泛应用于许多场景,如文本分类、推荐系统以及信息检索等。本文将全面介绍pointwiseNLP,包括其基本概念、使用方法和相关代码示例,并结合图表...
Graduate School of Information Science and Technology Osaka University; Graduate School of Information Science and Technology Osaka University Artificial Intelligence Research Center (AIRC) AIST1st workshop on NLP for conversational AI 2019