We investigated the dictionary-based query translation method combining the translation disambiguation process using statistic cooccurrence information trained from the provided c...
This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). ...
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Document retrieval systems conventionally use words as the basic unit of representation, a natural choice since words are primary carriers of semantic information. In this paper w...
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...