Results 91 to 100 of about 27,829 (250)
Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation
IEEE AccessAmbiguity in word meanings presents a significant challenge in natural language processing, necessitating robust techniques for Word Sense Disambiguation (WSD).
Sarfraz Bibi +2 more
doaj +1 more source
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT This study examines how individuals accept and navigate paradoxical tensions within a sustainability context, using a multiple case study of five Italian companies implementing circularity measurement tools. By exploring the interplay between self‐efficacy and acceptance of paradoxical tensions, drawing upon the Goal Setting and Paradox ...
Alice Alosi +4 more
wiley +1 more source
Word Sense Disambiguation Focusing on POS Tag Disambiguation in Persian:
International Journal of Information Science and Management, 2019 The present study deals with ambiguity at word level focusing on homographs. In different languages, homographs may cause ambiguity in text processing. In Persian, the number of homographs is high due to its orthographic structure as well as its complex ...
Elham Alayiaboozar +2 more
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Disability, Subject‐Dependence, and the Bad‐Difference View
Bioethics, EarlyView.ABSTRACT Philosophers have debated on the “mere‐difference” view of disability, according to which disability as such is neutral in terms of well‐being, just like race and gender. It is contrasted with the “bad‐difference” view, which holds that disability is bad for its possessor even in a non‐ableist situation.
Shu Ishida +2 more
wiley +1 more source
An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
Open Computer Science, 2016 Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents ...
Ayetiran Eniafe Festus, Agbele Kehinde
doaj +1 more source
Toward Universal Word Sense Disambiguation Using Deep Neural Networks
IEEE Access, 2019 Traditionally, approaches based on neural networks to solve the problem of disambiguation of the meaning of words (WSD) use a set of classifiers at the end, which results in a specialization in a single set of words-those for which they were trained ...
Hiram Calvo +3 more
doaj +1 more source
British Journal of Developmental Psychology, EarlyView.Abstract In the present study, 43 Italian school‐age children (age range = 7–14 years, 16 females) with (N = 19) and without DD (N = 24) were presented with pairs of visual displays separated by varying interstimulus intervals and performed either a temporal integration or segregation task despite an identical visual input.
Giuseppe Di Dona +4 more
wiley +1 more source
Journal of Language ModellingWe develop a three-part approach to Verb Sense Disambiguation (VSD) in German. After considering a set of lexical resources and corpora, we arrive at a statistically motivated selection of a subset of verbs and their senses from GermaNet.
Dominik Mattern +3 more
doaj +2 more sources
Assessing flexibility in meaning and context in non‐human communication
Biological Reviews, EarlyView.ABSTRACT The concept of flexibility in communication is central to reconstructing the evolutionary history of language, and grappling with “contextual flexibility” in particular is pivotal to address implications for pragmatics‐first accounts of language evolution.
Marlen Fröhlich +7 more
wiley +1 more source
Gaze‐Aware Visualisation: Design Considerations and Research Agenda
Computer Graphics Forum, EarlyView.We assemble a design framework for gaze‐aware visualisations along four axes—measurable data, inferable data, opportunities for support, and limiting factors to beware—and distil visualisation research challenges that preclude such systems. We show how our framework can be applied in practice to consider how eye‐tracking may benefit visualisation ...
R. Jianu +5 more
wiley +1 more source