This chapter provides an introduction to the field of hybrid neural systems. Hybrid neural
systems are computational systems which are based mainly on artificial neural networks but …

The effect of research findings concerning language comprehension on the understanding
of the organization of cognition is examined. Principles underlying general cognitive …

Understanding Reading revolutionized reading research and theory when the first edition
appeared in 1971 and continues to be a leader in the field. In the sixth edition of this classic …

Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level
summarization of a document. Majority of the existing techniques are mainly domain …

We present the design, implementation and simulation results of a psycholinguistic model of
human syntactic processing that meets major empirical criteria. The parser operates in …

Recurrent excitation is experimentally well documented in cortical populations. It provides
for intracortical excitatory biases that linearize negative feedback interactions and induce …

In this paper, a new training paradigm is proposed for deep reinforcement learning using
self-paced prioritized curriculum learning with coverage penalty. The proposed deep …

This paper describes an experimental comparison of seven different learning algorithms on
the problem of learning to disambiguate the meaning of a word from context. The algorithms …

In recent years, there has been a resurgence in research on empirical methods in natural
language processing. These methods employ learning techniques to automatically extract …

The time courses for processing constituent structure relations, subcategorization
restrictions, and thematic role relations during sentence comprehension were measured …