How to transfer the semantic information in a sentence to a computable numerical
embedding form is a fundamental problem in natural language processing. An informative …

Natural language parsing has typically been done with small sets of discrete categories
such as NP and VP, but this representation does not capture the full syntactic nor semantic …

Abstract Previous work on Recursive Neural Networks (RNNs) shows that these models can
produce compositional feature vectors for accurately representing and classifying sentences …

Three sentence completion experiments will be reported in which participants had to
generate German equivalents of “the servant of the actress who…”(NP-of-NP-RC) …

Abstract Words that are more surprising given context take longer to process. However, no
incremental parsing algorithm has been shown to directly predict this phenomenon. In this …

As the amount of unstructured text data that humanity produces overall and on the Internet
grows, so does the need to intelligently process it and extract different types of knowledge …

Computational psycholinguistics is concerned with the development of computational
models of the cognitive mechanisms and representations that underlie language processing …

Recent developments in the area of neural networks produced models capable of dealing
with structured data. Here, we propose the first fully unsupervised model, namely an …

Parsing sentences into syntax trees can benefit downstream applications in NLP. Transition-
based parsers build trees by executing actions in a state transition system. They are …

N eural engineering, an emerging interdisciplinary subject, is aimed at using engineering
techniques to investigate the function and manipulate the behavior of the nervous system …