...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..
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...知社会 关键词: 词义消歧,自然语言处理,隐马尔可夫模型,单纯贝叶斯模型 [gap=975]Keywords: Word Sense Disambiguation, NLP, Hidden Markov Model, Naïve Bayes Model ...
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基于向量空间模型的古汉语词义自动消歧研究-第十七期-中国图情期刊联盟网 关键词】: 向量空间模型 词义消歧 古汉语 [gap=1045]Key words】:vector space model; semantic disambiguation; ancient Chinese
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统计词义消歧 Statistical Word Sense Disambiguation
是词义消歧 word sense disambiguation ; WSD
行词义消歧 Word Sense Disambiguation ; WSD
对词义消歧 WSD ; word sense disambiguation
成为词义消歧 WSD ; Word Sense Disambiguation
多义词歧义消解 word sense disambiguation
词类歧义消解 Grammatical Category Disambiguation
词汇歧义消解 lexical ambiguity resolution
Word Sense Disambiguation (WSD) is so far a key topic in Natural Language Processing (NLP), and has important theoretical and practical value for many research fields.
词义消歧一直以来都是自然语言处理领域的一个关键课题,对众多研究领域都具有十分重要的理论和实践意义。
参考来源 - 基于知网的汉语词义消歧方法的研究The good result of Word Sense Disambiguation (WSD) will surely enlighten every aspects of NLP, such as Machine Translation (MT), Text Classification, and Information Retrieval.
而词义消歧的良好结果将影响自然语言处理的方方面面,如机器翻译、文本分类、信息提取等等。
参考来源 - 英语词汇歧义及英汉机器翻译中词义消歧上下限研究·2,447,543篇论文数据,部分数据来源于NoteExpress
首先,介绍了无监督词义消歧研究的意义。
First of all, the significance of unsupervised word sense disambiguation study is introduced.
词义消歧问题可以形式化为典型的分类问题。
The problem of word sense disambiguation can be formalized to be a typical classify problem.
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 goal of this paper is to give a brief summary of the current unsupervised word sense disambiguation techniques in order to facilitate future research.
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