The Mental Representation of Polysemy across Word Classes

The Mental Representation of Polysemy across Word Classes

Experimental studies on polysemy have come to contradictory conclusions on whether words with multiple senses are stored as separate or shared mental representations. The present study examined the semantic relatedness and semantic similarity of literal and non-literal (metonymic and metaphorical) senses of three word classes: nouns, verbs, and adjectives. Two methods were used: a psycholinguis...

The Representation of Polysemy in L1 and L2 Mental Lexicon

A Word-Embedding-based Sense Index for Regular Polysemy Representation

We present a method for the detection and representation of polysemous nouns, a phenomenon that has received little attention in NLP. The method is based on the exploitation of the semantic information preserved in Word Embeddings. We first prove that polysemous nouns instantiating a particular sense alternation form a separate class when clustering nouns in a lexicon. Such a class, however, do...

The Representation of Polysemy: MEG Evidence

Most words in natural language are polysemous, that is, they can be used in more than one way. For example, paper can be used to refer to a substance made out of wood pulp or to a daily publication printed on that substance. Although virtually every sentence contains polysemy, there is little agreement as to how polysemy is represented in the mental lexicon. Do different uses of polysemous word...

Sharing the Runtime Representation of Classes Across Class Loaders

One of the most distinctive features of the Java programming language is the ability to specify class loading policies. Despite the popularity of class loaders, little has been done to reduce the cost associated with defining the same class by multiple loaders. In particular, implementations of the Java virtual machine (JVM ) create a complete runtime representation of each class regardless of ...