Inspired by bidirectional long short-term memory (LSTM) recurrent neural network (RNN)
architectures, commonly applied in natural language processing (NLP) tasks, we have …

We propose a novel architecture called Hierarchical-Task Reservoir (HTR) suitable for real-
time sentence parsing from continuous speech. Accordingly, we introduce a novel task that …

How do children acquire language through unsupervised or noisy supervision? How do
their brain process language? We take this perspective to machine learning and robotics …

The current developments in the area report on numerous applications of recurrent neural
networks for Word Sense Disambiguation that allowed the increase of prediction accuracy …

The paper continues investigations on the application of bidirectional echo state networks
(BiESN) to the task of word sense disambiguation (WSD). Motivated by observations that the …

Reservoir computing (RC) has emerged as an alternative approach for the development of
fast trainable recurrent neural networks (RNNs). It is considered to be biologically plausible …

Automatic Speech Recognition (ASR) is often employed for applications like dictation, where
the aim is to cover a broad range of vocabularies. Also, ASR is a central interface for …

In this paper, we tackle sequence-to-tree transduction for language processing with neural
networks implementing several subtasks, namely tokenization, semantic annotation, and …

The current developments in the area report on numerous applications of recurrent neural
networks for Word Sense Disambiguation that allowed the increase of prediction accuracy …