word sense disambiguation的意思|示意
词义消歧
word sense disambiguation的网络常见释义
词义消歧 ...左右,远远不能满足信息检索、机器翻译等应用系统的需求。今天,词义消歧依然是学人们孜孜以求攻克的难关。一、词义消歧词义消歧(word sense disambiguation,WSD)是计算机根据上下文语境来自动确定..
词义排歧 仁习 当前,词义排歧(Word sense Disambiguation)的研究呈现多样化,各种研究的分歧主要集中在对于计算范例的选择、待排歧词选择的比例、词义分配的颗粒度以及所使用的知识源等方面...
词义辨析 1.4.5词义辨析 词义辨析(Word Sense Disambiguation)是指根据多义词所处上下文环境判断该词此时含义的活动[5]。
词义排岐 ...名实体识别(named entity recognition)、自然语言的机器学习 (Machine learning for NLP)、词义排岐(word sense disambiguation)、语义角色标注(semantic rolelabeling) 等程式，而希望扩展自己对自然语言开发和分析的全栈知识，欢迎应征加入我们的团队！
word sense disambiguation相关短语
1、 Statistical Word Sense Disambiguation 统计词义消歧
2、 word sense disambiguation WSD 多义词歧义消解 ; 词义消歧 ; 详细翻译
3、 All-Words Word Sense Disambiguation 全词消歧
word sense disambiguation相关例句
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
First of all, the significance of unsupervised word sense disambiguation study is introduced.
首先，介绍了无监督词义消歧研究的意义。
Moreover , the parallel corpus is valuable in machine translation , bilingual dictionary compilation , word sense disambiguation and cross - lingual information retrieval.
除机器翻译方面的应用之外，平行语料库的建设对于双语词典编纂、词义消岐和跨语言信息检索也具有重要价值。
The goal of this paper is to give a brief summary of the current unsupervised word sense disambiguation techniques in order to facilitate future research.
研究的目的是对现有的无监督词义消歧技术进行总结，以期为进一步的研究指明方向。
The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。
WTD and its similar task - word sense disambiguation (WSD) in mono-lingual category are important and hard in the research of nature language processing (NLP) and are always the basis of it.
译文消歧及与之相似的在单语范畴内的词义消歧一直是自然语言处理领域基础研究课题，它也是自然语言处理技术的重点和难点之一。