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Sentence ranking is one of the most important research issues in text analysis. It can be used in extracted textual summarization and information retrieval. Graph-based methods are a common way of ranking and extracting sentences. In graph based methods, sentences are nodes of graph and edges are built based on the sentence similarities or on sentence co-occurrence relationship. PageRank style algorithms...
Sentence ranking is one of the most important research issues in text analysis. It can be used in text summarization and information retrieval. Graph-based methods are a common way of ranking and extracting sentences. In graph based methods, sentences are nodes of graph and edges are built based on the sentence similarities or on sentence co-occurrence relationship. PageRank style algorithms can be...
In the artificial intelligence area, one of the ultimate goals is to make computers understand human language and offer assistance. In order to achieve this ideal, researchers of computer science have put forward a lot of models and algorithms attempting at enabling the machine to analyze and process human natural language on different levels of semantics. Although recent progress in this field offers...
An aerobic denitrifying bacterial strain HFX08F was isolated from the activated sludge. the strain HFX08F was identified as Pseudomonas genus (Pseudomonas). The growth curve of the strain was in line with “S” type curve, correlation coefficient R reached a significant difference level. Optimum growth of strains was pH 7 and temperature range of 10–20°C., The removal rate of NO3-N within 48 hours reached...
3D reconstruction with sparse image sets requires more accurate view geometry estimation than a large number of images based 3D reconstruction. In this paper, we have proposed an automatic 3D reconstruction system based on a small set of images which can estimate the view transformation between different views accurately. The proposed system can build a more complete 3D result when only part of the...
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