Automatically Extending , Pruning and Trimming
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Extending, Trimming and Fusing WordNet for Technical Documents
This paper describes a tool for the automatic extension and trimming of a multilingual WordNet database for cross-lingual retrieval and multilingual ontology building in intranets and domain-specific document collections. Hierarchies, built from automatically extracted terms and combined with the WordNet relations, are trimmed with a disambiguation method based on the document salience of the w...
متن کاملNetwork Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
State-of-the-art neural networks are getting deeper and wider. While their performance increases with the increasing number of layers and neurons, it is crucial to design an efficient deep architecture in order to reduce computational and memory costs. Designing an efficient neural network, however, is labor intensive requiring many experiments, and fine-tunings. In this paper, we introduce net...
متن کاملSmall Is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming
In this paper, we study how to better merge a WordNet-like ontology with an online encyclopedia. We first eliminate the noises with some heuristic rules, and then adopt a domain-dependent strategy to trim the encyclopedia structure. Finally, we integrate entities from the trimmed structure into the original ontology, and construct a refinedlyenriched ontology. The experimental results show that...
متن کاملVariable Fanout
Data compression attempts to reduce the amount of information needed to recreate a signal. A source coder is a data compression system which attempts to maximize the quality of the signal reproduction for a xed transmission rate or minimize the transmission rate for a xed reproduction quality. Source coders are designed by exploiting the statistics of their signal sources. A vector quantizer ca...
متن کاملVariable Fanout Trimmed Tree-structured Vector Quantization for Multirate Channels 1
| We introduce a generalized pruning technique called trimming which can improve upon the performance of pruned tree-structured vector quantization. The algorithm is used to optimize the tree structure with respect to a multirate channel. Experimental results are supplied which demonstrate this performance .
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تاریخ انتشار 2002