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命名实体在文本中承载信息的重要单元,正确分析存在歧义的命名实体对文本的理解起着关键性作用。该文提出基于多源知识和Ranking SVM的中文微博命名实体链接,结合同义词词典、百科资源等知识产生初始候选实体集合,同时从文本中抽取多种组合特征,利用Ranking SVM对候选实体集合进行排序,从而得到目标实体。在NLPCC20141中文微博实体链接评测数据集上进行了实验,获得了89.40%的平均准确率...
Given a constraint set with k constraints in the framework of Optimality Theory (OT), what is its capacity as a classification scheme for linguistic data? One useful measure of this capacity is the si...
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking functions from supervis...
To what extent does perceptual language reflect universals of experience and cognition, and to what extent is it shaped by particular cultural preoccupations? This paper investigates the universality...
Acoustic feature similarity between search results has been shown to be very helpful for the task of spoken term detection (STD).A graph-based re-ranking approach for STD has been proposed based on th...
Incremental Text Structuring with Online Hierarchical Ranking
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages.
Content-based social tagging recommendation,which considers the relationship between the tags and the descriptions contained in resources, is proposed to remedy the cold-start problem of collaborative...
Random Walks on Context-Aware Relation Graphs for Ranking Social Tags.

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