Word Clusters
Parsing Word Clusters
... use word clus- ters as features to improve graph-based statistical dependency parsing for English and ...Their clusters are obtained using unsupervised clustering, which makes it possible to use a raw ...
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Name Tagging with Word Clusters and Discriminative Training
... without clusters, active learning exhibits a noticeable increase in learning ...by word clusters – the system is no longer restricted to whether or not it knows a word; it now can know ...
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Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments
... target word local con- ...target word and will increase model ...for word alignment. We obtain word clusters from word2vec (Mikolov et ...K-means word clustering tool. We use the ...
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Improved Part of Speech Tagging for Online Conversational Text with Word Clusters
... Besides unsupervised word clusters, there are two other sets of features that contain generalized lexi- cal class information. We use the tag dictionary fea- ture from Gimpel et al., which adds a feature ...
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Semantic Word Clusters Using Signed Spectral Clustering
... of word similarity, but such methods tend to produce vector spaces in which antonyms (as well as syn- onyms) are close to each ...such word embed- dings, words are points in a vector space where synonyms ...
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Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section)
... using word clusters, where words are viewed as distributions over docu- ment categories, was first suggested by Baker and McCallum (1998) based on the “distributional clustering” idea of Pereira et ...this ...
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Cross lingual Word Clusters for Direct Transfer of Linguistic Structure
... cross-lingual word clusters. The first method works by projecting word clusters, induced from monolingual data, from a source language to a target language directly via word ...with ...
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Query Translation for Cross Language Information Retrieval using Multilingual Word Clusters
... multilingual word clusters obtained from multilingual word ...use word embeddings of the languages projected to a common vector space on which a community-detection algorithm is applied to ...
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Factored Translation with Unsupervised Word Clusters
... For the unsupervised word clusters, 5-gram language models were used as well, built from tagged versions of the same corpora. All language models were binarised and loaded using KenLM [Heafield, 2011]. ...
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Multi Class Composite N gram Language Model for Spoken Language Processing Using Multiple Word Clusters
... accurate word prediction ca- pability and reliability for sparse data with a compact model size based on multiple word clusters, called Multi- ...as word attributes, and one word ...
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Learning Word Clusters from Data Types
... against the reference classication. Precision is dened as the ratio between the number of cen- troids properly included in one reference class and the number of inferred centroids. Recall is dened as the ratio between ...
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Innovation Clusters: Advantages and Disadvantages
... Increasing competitiveness through cluster initiatives is becoming a basic element of the vast majority of countries development strategies. Analysis of more than 500 cluster initiatives implemented over the last 10 ...
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Functioning of Innovative Territorial Clusters
... The second group of competitive advantages combines the strategy of innovative companies. For the Novosibirsk companies is a combination of competitive advantages, in fact, reflects two main marketing strategies of cost ...
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Peculiarities of Isolated Clusters Operation
... industrial clusters became an important factor of development socio-economic priority in the conditions of the market and changing world tendencies of political and military ...where clusters are formed, ...
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Alcohol outlets and clusters of violence
... Four important methodological limitations must be acknowledged. As noted previously, there is no way to confirm that the assaults utilized in this analysis were alcohol-related (see [14]). While information regarding the ...
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Border analysis for spatial clusters
... for clusters boundary uncertainty When the spatial scan statistic detect a cluster, we can trust the general location and size of the cluster, but there is always uncertainty in the exact ...
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Making successful virtual clusters
... regional clusters is a common ingredient of industrial policy in many ...virtual clusters? This was a core question in this ...geographical clusters as well as benefits and challenges of virtual ...
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Research Clusters and Technology Diffusion
... administration code points out the nearest city, n, in which the firm, i, is located. I then use the geographic distance between the city n where the firm i is located and its nearest research cluster, c, as a proxy for ...
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The development potential of clusters in Romania
... and clusters, there is the risk of interrupting or not fulfilling all of them (one influencing factor is the rotation of the parties after each elections and the change of strategy by 180 ...
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Extended Structures in Globular Clusters
... collapse clusters can be comparable to the observed tidal radius, with the ratio between to ranging from ...the clusters orbit, the power-law indices can be shallow as γ ≈ ...globular clusters ...
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