WORD SENSE DISAMBIGUATION BASED ON IMPROVED BAYESIAN CLASSIFIERS

来源 :电子科学学刊:英文版 | 被引量 : 0次 | 上传用户:shangxing110
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
<正>Word Sense Disambiguation (WSD) is to decide the sense of an ambiguous word on particular context. Most of current studies on WSD only use several ambiguous words as test samples, thus leads to some limitation in practical application. In this pa
其他文献
The letter proposes a three-layer manageable media distribution network system archi- tecture called MSPnet, which is based on Session Initiation Protocol[1] an
This letter introduces a 4th order active RC complex filter with 1.5MHz center frequency and 1MHz bandwidth. The total harmonic distortion of the filter is less
<正>In this letter,capacity estimation for Mobile Ad hoc NETworks (MANETs) using direc- tional antennas are studied.Two Matrix-based Fast Calculation Algorithms
<正>This paper presents a hybrid image interpolation algorithm to keep details and edges simultaneously. The basic idea is to separate the unknown pixels into t
<正>More methods can be used to remove the additive noise, such as the Mean of Least Variance (MLV) filter. When the signal is noised by the multiplicative nois
<正>Collaborative filtering recommender systems often suffer from the &#39;Matchmaker&#39; problem, which comes from the false assumption that users are counted
<正>Previously, a novel classifier called Kernel-based Nonlinear Discriminator (KND) was proposed to discriminate a pattern class from other classes by minimizi
<正>Most of the multimedia applications require strict Quality-of-Service (QoS) guarantee during the communication between a single source and multiple destinat