[PDF] Top 20 Triplet Based Chinese Word Sense Induction
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Triplet Based Chinese Word Sense Induction
... In Chinese the former character “谷” tends to express a complete meaning and the other characters in the word which they combine of- ten modify it such as the characters “山” and “稻” in the word “山谷” ... See full document
5
Latent Semantic Word Sense Induction and Disambiguation
... induced sense inventory for the unsuper- vised disambiguation of particular occurrences of ...The induction step and the disambiguation step are based on the same principle: words and contexts are ... See full document
10
Word Sense Induction using Cluster Ensemble
... target word. LSI is based on the assumption that there is some underlying or latent structure in the pattern of word usage across documents, and that statistical techniques can be used to estimate ... See full document
8
One Million Sense Tagged Instances for Word Sense Disambiguation and Induction
... samples based on the WordNet sense inventory (Miller, 1995) and release the annotated corpus for public ...of sense-tagged samples is the largest publicly avail- able dataset for word ... See full document
7
Taxonomy Learning Using Word Sense Induction
... The majority of taxonomy learning approaches are based on the distributional hypothesis (Harris, 1968). Typically, distributional similarity methods (Cimiano et al., 2004; Cimiano et al., 2005; Faure and ... See full document
9
A Sense Topic Model for Word Sense Induction with Unsupervised Data Enrichment
... called word embeddings, capture information via training criteria based on predicting nearby ...vectors. Word embeddings are often also used to build representations for larger units of text, such as ... See full document
14
Simple Features for Chinese Word Sense Disambiguation
... Penn Chinese Treebank, and choosing only those words that had more than one dictionary verb sense and that occurred more than three times in these ...verb sense and that occurred more than 25 times ... See full document
7
Chinese Word Sense Disambiguation with PageRank and HowNet
... To use PageRank algorithm to do disambiguation, a graph which represents the text and interconnects the words with meaningful relations should be built first. All the words in the text should be POS tagged first, and ... See full document
6
Word Sense Induction Using Lexical Chain based Hypergraph Model
... Topic models, such as LDA and HDP (Brody and Lapata, 2009; Lau et al., 2012), have been success- fully adopted for WSI, in which one topic is viewed as one sense. Our work is motivated by lexical chain that ... See full document
11
An Unsupervised Approach to Chinese Word Sense Disambiguation Based on Hownet
... the word senses of ambiguous words from the <Modern Chinese Lexicon>, 1996 ...the word sense of ambiguous words came from Cilin, a Chinese ... See full document
10
Nonparametric Bayesian Word Sense Induction
... in sense clusters with no explicit map- ping to manually annotated sense ...to sense derivation is constructed by simply assigning to each cluster the manual sense label that has the highest ... See full document
5
Word Sense Induction by Community Detection
... to sense-specific ...the sense inventory; selecting a commu- nity solution purely based on the graph’s structure may not capture the correct sense distinctions, ei- ther having communities ... See full document
5
Chinese Word Spelling Correction Based on Rule Induction
... is Chinese, specially it is not learning the word, it is learning about the “idioms” and learning how to construct ...Traditional Chinese handwriting by neural networks, their recognition of ... See full document
7
Adaptive Word Sense Tagging on Chinese Corpus
... Word sense disambiguation is a long-standing problem in natural language ...statistical word sense disambiguation (WSD) model: data sparseness, lack of abstraction, and static ...a ... See full document
8
Unsupervised Word Sense Induction using Distributional Statistics
... LDA based parameter estimation relies more upon the relative distribution of the these words across all the first order words rather than their actual ...each word so that we could run LDA with the finite ... See full document
9
Improving Word Sense Induction by Exploiting Semantic Relevance
... A Chinese word can be constituted by a single character or multiple characters, which is differ- ent from ...the Chinese word containing only one character has more senses ...(e.g. ... See full document
5
Combining Lexical Substitutes in Neural Word Sense Induction
... ambiguous word to differentiate between its ...unsupervised word sense ...measures based on cosine similarities be- tween pre-trained word embeddings by Mikolov et ...2.2 ... See full document
9
Word sense induction using independent component analysis
... in Chinese word that would allow for such obvious sense distinctions as English plant,palm, bank ...in word sense related task to test the new ...clear-cut sense distinctions, ... See full document
11
Integrating Collocation Features in Chinese Word Sense Disambiguation
... same sense, they have similar context and co-occurrence information ...ambiguous word give more ef- fective patterns and features values than those far from it ...for Chinese [10] has considered ... See full document
8
Crowdsourcing Experiment Designs for Chinese Word Sense Annotation
... Data preparation: All pre-processed data are divided into micro-tasks with ten sentences per set to make annotation task easier. Notably, the number of senses for contributors to select from are recommended between 4 to ... See full document
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