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Neuroscience. Advance online publication. doi:10.1080/23273798.2018.1427877. Language comprehension involves coping with ambiguity and recovering from misanalysis. Syntactic ambiguity resolution is a...
The 18th International Society for Music Information Retrieval Conference will take place at National University of Singapore Research Institute (NUSRI) in Suzhou, China, October 23-2827, 2017. It is ...
The effect of partial semantic feature match in forward prediction and backward retrieval.
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...
Although more and more language pairs are covered by machine translation (MT) services, there are still many pairs that lack translation resources. Cross-language information retrieval (CLIR) is an ...
The recent advances in information retrieval (IR) in this collection of ten original papers reflect the wide range of research topics developed at the Center for Intelligent Information Retrieval (CII...
Information Retrieval (IR) in this collection of 14 original papers is broadly construed to include document retrieval, information extraction, question answering, clustering and classification. In th...
Sentences with a contrastive intonation contour are usually produced when the speaker entertains alternatives to the accented words. However, such contrastive sentences are frequently produced without...
The goal of the study was to examine whether speakers naming pairs of objects would retrieve the names of the objects in parallel or in sequence. To this end, we recorded the speakers’ eye movements a...
An influential hypothesis regarding the neural basis of the mental lexicon is that semantic representations are neurally implemented as distributed networks carrying sensory, motor and/or more abstrac...
Automatic Processing of Audio Lectures for Information Retrieval: Vocabulary Selection and Language Modeling.
This paper presents a novel approach to open-vocabulary spoken utterance retrieval using confusion networks. If out-of-vocabulary (OOV) words are present in queries and the corpus, word-based in...
Speech-Based Annotation and Retrieval of Digital Photographs.

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