Working memory (WM) uses knowledge and relations to organize store multiple items in fewer structured units, or chunks. We investigated: (a) whether a crowd that exceeds the WM capacity is retained better if individuals can be grouped social chunks; (b) what counts as chunk: two involved meaningful interaction just spatially close face-to-face. In delayed change-detection task, participants wer...

Abstract Oscillation-based models of speech perception postulate a cortical computational principle by which decoding is performed within window structure derived segmentation process. Segmentation syllable-size chunks realized ? oscillator. We provide evidence for an analogous role ? oscillator in the phrase-sized chunks. recorded magnetoencephalography (MEG) humans, while participants target ...

This paper presents and evaluates a novel and flexible chunking method using Constraint Grammar (CG) rules to introduce chunk edges in corpus annotation. Our method exploits preexisting (non-constituent) morphosyntactic annotation such as part-of-speech or function tags, but can also be made to work on raw text, integrated with other CG modules. The first version of the chunker was developed fo...

0749-596X/$ see front matter 2009 Elsevier Inc doi:10.1016/j.jml.2009.05.004 * Corresponding author. Fax: +44 (0)1904 433181 E-mail address: [email protected] (G.J. Hitch). A series of experiments explored whether chunking in short-termmemory for verbal materials depends on attentionally limited executive processes. Secondary tasks were used to disrupt components of working memory and chunking wa...

In this perspective we suggest that chunking can be used as an investigative tool to determine the characteristics of other cognitive phenomena. We present an example of the usefulness of chunking multiple responses to aid in understanding object switch costs. Switch costs refer to the shorter response times for manipulation of the same item on two trials in a row compared to a switch between i...

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

This paper focuses on case acquisition strategies in the context of Case-based Learning from Observation (CBLfO). In Learning from Observation (LfO), a system learns behaviors by observing an expert rather than being explicitly programmed. Specifically, we focus on the problem of learning behaviors from experts that reason using internal state information, that is, information that can not be d...

We identify new opportunities in video streaming, involving the joint consideration of offline chunking and on-line rate adaptation. Due to a video’s complexity varyingover time, certain parts are more likely cause performanceimpairments during playback with particular adaptationalgorithm. To address such an issue, we propose Segue ,which carefully uses variable-length segments, augment specifi...

In this paper we consider the problem of analysing sentence-level discourse structure. We introduce discourse chunking (i.e., the identification of intra-sentential nucleus and satellite spans) as an alternative to full-scale discourse parsing. Our experiments show that the proposed modelling approach yields results comparable to state-of-the-art while exploiting knowledge-lean features and sma...