[PDF] Top 20 Chinese Word Sense Induction with Basic Clustering Algorithms
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Chinese Word Sense Induction with Basic Clustering Algorithms
... Word Sense Induction (WSI) or Word Sense Discrimination is a task of automatically discov- ering word senses from un-annotated ...from Word Sense Disambiguation ... See full document
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ISCAS: A System for Chinese Word Sense Induction Based on K means Algorithm
... Before clustering the vectors of instances, we put together the vectors of instances in the cor- pus and obtain a co-occurrence matrix of in- stances and ...the word space (Golub and Van Loan, ...The ... See full document
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K means and Graph based Approaches for Chinese Word Sense Induction Task
... target word according to its ...studying Chinese WSI is later and we need to find a better and appropriate way for Chinese ...a Chinese thesaurus - TongYiCi CiLin is used to solve the problem ... See full document
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Soochow University: Description and Analysis of the Chinese Word Sense Induction System for CLP2010
... target word (feature extraction) and transform them into high-dimension vectors (feature vector ...for clustering algorithms. Finally, we perform three clustering algorithms, namely, k- ... See full document
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Clustering and Diversifying Web Search Results with Graph Based Word Sense Induction
... WSI algorithms. Next, for each graph-based WSI algorithm, we kept the given optimal values fixed for building the co-occurrence graphs for the tuning set queries, while varying the parameter values of the WSI ... See full document
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Word Sense Induction: Triplet Based Clustering and Automatic Evaluation
... a word (Gauch and Futrelle, 1993), or larger contexts such as sen- tences (Bordag, 2003; Rapp, 2004) or large win- dows of up to 20 words (Ferret, ...employ clustering methods to partition the co-occurring ... See full document
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Latent Semantic Word Sense Induction and Disambiguation
... a word on a per-word basis, i.e. the different senses for each word are determined ...context-clustering algorithms and graph-based algorithms. In the context-clustering ... See full document
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Measuring the Impact of Sense Similarity on Word Sense Induction
... Spectral Clustering Spectral Clustering inter- prets a dataset’s elements as vertices in graph with edges based on their similarity (Ng et ...tral clustering to WSI, which was performed on a ... See full document
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Chinese Word Sense Induction based on Hierarchical Clustering Algorithm
... Sense induction seeks to automatically identify word senses of polysemous words encountered in a ...Unsupervised word sense induction can be viewed as a clustering ... See full document
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Overview of the Chinese Word Sense Induction Task at CLP2010
... spectral clustering algorithm contain SCU and ...target word senses, traditional methods can achieve a good ...of word senses are important to the task of ... See full document
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Triplet Based Chinese Word Sense Induction
... Sense induction is typically treated as a clustering problem, by considering their co- occurring contexts, the instances of a target word are partitioned into ...get word is ... See full document
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Evaluating Unsupervised Ensembles when applied to Word Sense Induction
... Word Sense Induction models define word senses in terms of the distributional hypothesis, whereby the meaning of a word can be defined by the surround- ing context (Haris, ...any ... See full document
6
Word Sense Induction by Community Detection
... induced sense labeling is scored using two unsupervised and one supervised ...a clustering solution. Solutions that have word clusters formed from one gold-standard sense are homogeneous; ... See full document
5
AutoSense Model for Word Sense Induction
... the sense granularity ...same sense is commonly used in the two ...infection sense can be from a mixture of medical, science, and temperature topics), as well as garbage senses (colored red in the ... See full document
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Naive Bayes Word Sense Induction
... We model each target word individually. We set α, a Dirichlet prior for senses, to 0.02 and β, a Dirichlet prior for contextual words, to 0.1 for the Gibbs sam- pler as in Brody and Lapata (2009). We initialize EM ... See full document
5
Word Sense Induction using Cluster Ensemble
... the word sense could be relying on the context far away from ...accurate induction, and all linguistic cues should be incorporated into the ...target word, measured in the number of words in ... See full document
8
Word Sense Ambiguation: Clustering Related Senses
... WORD SENSE AMBIGUATION CLUSTERING RELATED SENSES W O R D S E N S E A M B I G U A T I O N C L U S T E R I N G R E L A T E D S E N S E S William B Dolan Microsoft Research billdol @ microsoft corn A b s[.] ... See full document
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Chinese Word Sense Disambiguation based on Context Expansion
... ambiguous word can be substituted by synonymy, and the new context represented by synonymy expresses the same meaning, thus the sense of the ambiguous word in new context remains ...the sense ... See full document
8
Simple Features for Chinese Word Sense Disambiguation
... Assigning sense tags to words in context can be viewed as a classification task sim- ilar to part-of-speech tagging, except that a separate set of tags is required for each vocabulary item to be ...a word ... See full document
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A Sense Topic Model for Word Sense Induction with Unsupervised Data Enrichment
... Word sense induction (WSI) is the task of automat- ically discovering all senses of an ambiguous word in a ...ambiguous word with its surrounding ...a word indicates its ... See full document
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