Many natural language understanding (NLU) tasks, such as shallow parsing (i.e., text chunking) and semantic slot filling, require the assignment of representative labels to the meaningful chunks in a sentence. Most of the current deep neural network (DNN) based methods consider these tasks as a sequence labeling problem, in which a word, rather than a chunk, is treated as the basic unit for lab...

Motor chunking facilitates movement production by combining motor elements into integrated units of behavior. Previous research suggests that chunking involves two processes: concatenation, aimed at the formation of motor-motor associations between elements or sets of elements, and segmentation, aimed at the parsing of multiple contiguous elements into shorter action sets. We used fMRI to measu...

In this paper, we proposed an efficient and accurate text chunking system using linear SVM kernel and a new technique called mask method. Previous researches indicated that systems combination or external parsers can highlight the chunking performance. However the cost of constructing multiclassifiers is even higher than developing a single processor. Besides, the use of external resources will...

A variety of verb phrases exist in Urdu including simple verb phrases, conjunct verb phrases and compound verb phrases. This paper explains the structure of Urdu verb phrases, and details a series of experiment to automatically tag them. Initially, a rule based model is developed using 21 linguistic rules for automatic VP chunking. A 100,000 word Urdu corpus is manually tagged with VP chunk tag...

BACKGROUND Interventions that improve cognitive function in Alzheimer's disease are urgently required. AIMS To assess whether a novel cognitive training paradigm based on 'chunking' improves working memory and general cognitive function, and is associated with reorganisation of functional activity in prefrontal and parietal cortices (trial registration: ISRCTN43007027). METHOD Thirty patien...

Scatter-hoarding animals face the task of maximizing retrieval of their scattered food caches while minimizing loss to pilferers. This demand should select for mnemonics, such as chunking, i.e. a hierarchical cognitive representation that is known to improve recall. Spatial chunking, where caches with the same type of content are related to each other in physical location and memory, would be o...

In this paper, we proposed an approach for Chinese chunking based on the Conditional Random Fields model (CRFs). For sequence labeling, CRFs has advantages over generative models. Furthermore, Chinese chunking is a difficult sequence labeling task. This paper describes how to use CRFs for Chinese chunking via capturing the arbitrary and overlapping features. We defined different types of featur...