I argue that we should reject the sparse view that there are or could be only a small number of rather distinct senses. When one appreciates this then one can see that there is no need to choose between the standard criteria that have been proposed as ways of individuating the senses—representation, phenomenal character, proximal stimulus and sense organ—or any other criteria that one may deem ...

We apply topic modelling to automatically induce word senses of a target word, and demonstrate that our word sense induction method can be used to automatically detect words with emergent novel senses, as well as token occurrences of those senses. We start by exploring the utility of standard topic models for word sense induction (WSI), with a pre-determined number of topics (=senses). We next ...

This paper proposes a two-phase word sense disambiguation method, which filters only the relevant senses by utilizing the multiword expression and then disambiguates the senses based on Weight Distribution Model. Multiword expression usually constrains the possible senses of a polysemous word in a context. Weight Distribution Model is based on the hypotheses that every word surrounding a polyse...

The sense of olfaction reached its zenith in development much earlier than other special senses. Olfaction is much more acute than the other senses, exhibits both high sensitivity for odours and high discrimination between them. This plays a very important role even in the social and behavioral aspects of human beings. Recent studies using molecular genetics, electrophysiology and behavioral an...

synesthesia is an extended  type of poetic image through transferring five  natural senses of human from a sense to another which poet creates by expanding his imagination and producing and influencing images on the audience. the  present study has investigated synesthesia in poems of abol qasem ahshabi and sohrab sepehri since this phenomenon influences and  attracts audience's attention ...

Lexical ambiguity—the phenomenon of a single word having multiple, distinguishable senses—is pervasive in language. Both the degree ambiguity (roughly, its number senses) and relatedness those senses have been found to widespread effects on language acquisition processing. Recently, distributional approaches semantics, which word's meaning is determined by contexts, led successful research quan...

Human language relies on a finite lexicon to express a potentially infinite set of ideas. A key result of this tension is that words acquire novel senses over time. However, the cognitive processes that underlie the historical emergence of new word senses are poorly understood. Here, we present a computational framework that formalizes competing views of how new senses of a word might emerge by...

Word sense induction (WSI) is the task aimed at automatically identifying the senses of words in texts, without the need for handcrafted resources or annotated data. Up till now, most WSI algorithms extract the different senses of a word ‘locally’ on a per-word basis, i.e. the different senses for each word are determined separately. In this paper, we compare the performance of such algorithms ...

This paper presents an analysis of the polysemic senses of lexical items related to the conceptual domain of WEIGHT. This study is set within the framework of cognitive lexical semantics, where lexical items are assumed to constitute natural categories of related senses, which are organized in polysemic networks by cognitive principles such as metaphor, which motivate relations among the differ...

In this paper, we present an approach for visualizing image query senses. Image queries usually have several senses, which can describe the meanings of themselves. However, senses like ‘hot’ might not be concrete, thus we need to find out visual concepts to visualize these image query senses. We propose a novel approach to discover the visual concepts for image queries based on several statisti...