In text classification, one key problem is its inherent dichotomy of polysemy and synonym; the other problem is the insufficient usage of abundant useful, but unlabeled text documents. Targeting on solving these problems, we incorporate a sprinkling Latent Semantic Indexing (LSI) with background knowledge for text classification. The motivation comes from: 1) LSI is a popular technique for info...

In the article it will be shown that modeling polysemy in language can be performed in a rather unified way.

This research aims at representing noun polysemy so that it can be useful to computational systems; more specifically, the subject of this work is the inclusion of specification of polysemy relations in wordnet bases, particularly in WordNet.Br (DIASDA-SILVA, 1996, 1998, 2003). The methodology has been based on Dias-da-Silva (1996, 1998, 2003, 2006), comprehending three mutually complementary d...

Human–Object Interaction (HOI) detection is important to human-centric scene understanding tasks. Existing works tend assume that the same verb has similar visual characteristics in different HOI categories, an approach ignores diverse semantic meanings of verb. To address this issue, paper, we propose a novel Polysemy Deciphering Network (PD-Net) decodes polysemy verbs for three distinct ways....

This paper deals with some ambiguous situations linked to the use of co-verbal gestures with a touch screen. With the aim to clarify the process for the interpretation of multimodal utterances, we study the potential polysemy of a curve-like gesture produced together with a “put-that-there” verbal utterance. We emphasize the role of the task model when identifying the polysemy and determining i...

This paper assesses the role of multi-label classification in modelling polysemy for language acquisition tasks. We focus on the acquisition of semantic classes for Catalan adjectives, and show that polysemy acquisition naturally suits architectures used for multilabel classification. Furthermore, we explore the performance of information drawn from different levels of linguistic description, u...

The idea that ambiguity can be productive in data science remains controversial. Efforts to make scientific publications and intelligible computers generally assume accommodating multiple meanings for words, known as polysemy, undermines reasoning communication. This assumption has nonetheless been contested by historians, philosophers, social scientists, who have applied qualitative research m...