Distributional semantics is a usage-based model of meaning, based on the assumption that
the statistical distribution of linguistic items in context plays a key role in characterizing their …

Computational semantics has long been considered a field divided between logical and
statistical approaches, but this divide is rapidly eroding with the development of statistical …

Detecting hypernymy relations is a key task in NLP, which is addressed in the literature
using two complementary approaches. Distributional methods, whose supervised variants …

The lexicon of any natural language encodes a huge number of distinct word meanings. Just
to understand this article, you will need to know what thousands of words mean. The space …

We show that it is possible to reliably discriminate whether a syntactic construction is meant
literally or metaphorically using lexical semantic features of the words that participate in the …

Distributional representations of words have been recently used in supervised settings for
recognizing lexical inference relations between word pairs, such as hypernymy and …

Abstract Representations from artificial neural network (ANN) language models have been
shown to predict human brain activity in the language network. To understand what aspects …

Methods for unsupervised hypernym detection may broadly be categorized according to two
paradigms: pattern-based and distributional methods. In this paper, we study the …