Memory-based disfluency chunking

Proceedings of CoNLL - 99 , Bergen , Norway pp 53 - 60 Memory � Based Shallow Parsing

We present a memory based learning MBL approach to shallow parsing in which POS tagging chunking and identi cation of syntactic relations are formulated as memory based modules The experiments reported in this paper show competitive results the F for the Wall Street Journal WSJ treebank is for NP chunking for VP chunking for subject detection and for object detection

Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity

Chunking refers to a phenomenon whereby individuals group items together when performing a memory task to improve the performance of sequential memory. In this work, we build a bio-plausible hierarchical chunking of sequential memory (HCSM) model to explain why such improvement happens. We address this issue by linking hierarchical chunking with synaptic plasticity and neuromorphic engineering....

Single-Classifier Memory-Based Phrase Chunking

Short-term Working Memory and Chunking in SLA

After elaborating the definition of working memory, the relationship between short-term memory and working memory, chunking in SLA and the relationship between short-term memory and chunking, this paper proves the importance of chunking through the experiment: the students’ capacity in fast reading, reading in depth, listening and cloze from experimental group was affected by vocabulary depth t...

When disfluency is--and is not--a desirable difficulty: the influence of typeface clarity on metacognitive judgments and memory.

There are many instances in which perceptual disfluency leads to improved memory performance, a phenomenon often referred to as the perceptual-interference effect (e.g., Diemand-Yauman, Oppenheimer, & Vaughn (Cognition 118:111-115, 2010); Nairne (Journal of Experimental Psychology: Learning, Memory, and Cognition 14:248-255, 1988)). In some situations, however, perceptual disfluency does not af...