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We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such a...
As in many natural language processing tasks, data-driven models based on supervised learning have become the method of choice for semantic role labeling. These models are guaranteed to perform well w...
There are at least two kinds of similarity. Relational similarity is correspondence between relations, in contrast with attributional similarity, which is correspondence between attributes. When two w...
Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem...
Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by computer programs via comparing the structures of the ontologies and the linguistic semantics of th...
Foreign-accented speech is often perceived as more difficult to understand than native speech. What causes this potential difficulty, however, remains unknown. In the present study, we compared ...
People often describe things that are similar as close and things that are dissimilar as far apart. Does the way people talk about similarity reveal something fundamental about the way they conceptual...
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...
This paper proposes a new approach to unsupervised speaker adaptation inspired by the recent success of the factor analysisbased Total Variability Approach to text-independent speaker verification [1]...
Microblog users share their life status and opinions via microposts, which usually reflect their interests. Measuring interest similarity between microblog users has thus received increasing attention...

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