Results 71 to 80 of about 1,989 (220)

Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation

IEEE Access
Ambiguity in word meanings presents a significant challenge in natural language processing, necessitating robust techniques for Word Sense Disambiguation (WSD).
Sarfraz Bibi, Sohail Asghar, Muhammad Zubair   +2 more
doaj   +1 more source

Volume Quantization with Flexible Singularities for Hexahedral Meshing

Computer Graphics Forum, EarlyView.
Abstract We present a novel algorithm for quantization and subsequent hexahedral mesh generation from seamless volumetric maps. Quantization is the process of choosing integers that represent the numbers of hexahedral elements to be placed in each region of the volume, and transforming the seamless map into an integer‐grid map matching that choice ...
H. Brückler, M. Campen
wiley   +1 more source

On German verb sense disambiguation: A three-part approach based on linking a sense inventory (GermaNet) to a corpus through annotation (TGVCorp) and using the corpus to train a VSD classifier (TTvSense)

Journal of Language Modelling
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, Wahed Hemati, Andy Lücking, Alexander Mehler   +3 more
doaj   +2 more sources

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
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, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Word sense disambiguation criteria [PDF]

Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004
This article describes the results of a systematic in-depth study of the criteria used for word sense disambiguation. Our study is based on 60 target words: 20 nouns, 20 adjectives and 20 verbs. Our results are not always in line with some practices in the field.
openaire   +4 more sources

Serendipitous Explanations: Interaction‐Triggered Comprehension Aids in Visualization

Computer Graphics Forum, EarlyView.
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

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, Arturo P. Rocha-Ramirez, Marco A. Moreno-Armendariz, Carlos A. Duchanoy   +3 more
doaj   +1 more source

On Contribution of Sense Dependencies to Word Sense Disambiguation

Journal of Natural Language Processing, 2009
Traditionally, many researchers have addressed word sense disambiguation (WSD) as an independent classification problem for each word in a sentence. However, the problem with their approaches is that they disregard the interdependencies of word senses.
Hatori, Jun, Miyao, Yusuke, Tsujii, Jun’ichi   +2 more
openaire   +2 more sources

Attention Based Optimization for 3D Shape Registration

Computer Graphics Forum, EarlyView.
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

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