Results 81 to 90 of about 2,548,688 (244)
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source
Serendipitous Explanations: Interaction‐Triggered Comprehension Aids in Visualization
Abstract Evidence continues to accrue around the difficulties people have understanding new and complex visualizations, which in turn provides continued incentive to explore additional methods of supporting visualization viewers. Through leveraging viewers' spontaneous visualization sensemaking activities, we introduce a Serendipitous Explanation ...
M. Rezaie, M. Tory, S. Carpendale
wiley +1 more source
Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation
Ambiguity 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
Joint Morphological and Syntactic Disambiguation [PDF]
In morphologically rich languages, should morphological and syntactic disambiguation be treated sequentially or as a single problem? We describe several efficient, probabilistically-interpretable ways to apply joint inference to morphological and ...
Smith, N. A., Cohen, S. B.
core
WSD-games: a game-theoretic algorithm for unsupervised word sense disambiguation
In this paper we present an unsupervised ap- proach to word sense disambiguation based on evolutionary game theory. In our algorithm each word to be disambiguated is represented as a node on a graph and each sense as a class.
M. Pelillo +5 more
core +1 more source
Attention Based Optimization for 3D Shape Registration
Abstract Transformers are sequence‐to‐sequence architectures originally designed to handle structurally rigid and order‐sensitive data, such as text and images. At their core, they exploit the attention mechanism, which is permutation‐equivariant and relies on computing token‐to‐token relationships.
A. Riva, L. Olearo, S. Melzi
wiley +1 more source
We 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
Global Patterns of Epistemic Hierarchy and Dependency in Scientific Research
ABSTRACT The last three decades have witnessed significant transformations in global research systems. Increased scholarly mobility and enhanced connectivity across countries have boosted the globalization of academia. While the global nature and complexity of the international research system are undisputed, there is less agreement among scholars on ...
Andrés F. Castro Torres +2 more
wiley +1 more source
Toward Universal Word Sense Disambiguation Using Deep Neural Networks
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
Word Sense Disambiguation with THESSOM [PDF]
Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense ...
Linden, Krister
core

