Evaluation of localized semantics: data, methodology, and experiments
We present a new data set of 1014 images with manual segmentations and semantic labels
for each segment, together with a methodology for using this kind of data for recognition …
for each segment, together with a methodology for using this kind of data for recognition …
Semi-supervised learning integrated with classifier combination for word sense disambiguation
Word sense disambiguation (WSD) is the problem of determining the right sense of a
polysemous word in a certain context. This paper investigates the use of unlabeled data for …
polysemous word in a certain context. This paper investigates the use of unlabeled data for …
Computing semantic similarities based on machine-readable dictionaries
H Liu, J Zhao, R Lu - IEEE International Workshop on Semantic …, 2008 - ieeexplore.ieee.org
The measurement of semantic similarity is a foundation work in semantic computing. In this
paper the authors study the similarity measure between two words. Different from previous …
paper the authors study the similarity measure between two words. Different from previous …
[PDF][PDF] Using Wordnet Lexical Database and Internet to Disambiguate Word Senses.
K Fragos, Y Maistros, C Skourlas… - Proceedings of the 9th …, 2008 - glotta.ntua.gr
The term “knowledge acquisition bottleneck” has been used in Word Sense Disambiguation
Tasks (WSDTs) to illustrate/express the problem of the lack of large tagged corpora. In this …
Tasks (WSDTs) to illustrate/express the problem of the lack of large tagged corpora. In this …
Word similarity based on an ensemble model using ranking svms
H Liu, R Lu - 2008 IEEE/WIC/ACM International Conference on …, 2008 - ieeexplore.ieee.org
A novel ensemble model is suggested to measure the similarity between two words. The
authors apply ranking support vector machines to combine the results of existing similarity …
authors apply ranking support vector machines to combine the results of existing similarity …
Disambiguation of Greek Polysemous Words Using Hierarchical Probabilistic Networks and a Chi-Square Feature Selection Strategy
K Fragos, S Panetsos - International Journal on Artificial …, 2008 - World Scientific
In this paper, we present a robust classification technique to disambiguate Greek
polysemous words based on hierarchical probabilistic networks. Assuming that the linguistic …
polysemous words based on hierarchical probabilistic networks. Assuming that the linguistic …
Denoising and image compression using Bspline wavelets
MF Fahmy, US Mohamed, G Fahmy… - 2008 IEEE …, 2008 - ieeexplore.ieee.org
In this paper we briefly describe the results of a recent research on how to construct and
implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet …
implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet …
Automatic text categorization based on semi-supervised learning
The goal of text categorization is to classify documents into a certain number of pre-defined
categories. The previous studies in this area have used a large number of labeled training …
categories. The previous studies in this area have used a large number of labeled training …
Using Sense Recognition to Resolve the Problem of Polysemy in Building a Taxonomic Hierarchy
L Liu, S Zhang, LH Diao, SY Yan, CG Cao - … 3-5, 2008, Proceedings, Part I …, 2008 - Springer
Hyponymy is used to build a taxonomic hierarchy. But the terms in hyponymy may have
multiple senses. It will cause the problem of polysemy and affect the building of taxonomic …
multiple senses. It will cause the problem of polysemy and affect the building of taxonomic …
준지도학습기반의자동문서범주화
고영중， 서정연 - 정보과학회논문지: 소프트웨어및응용, 2008 - dbpia.co.kr
자동 문서 범주화란 문서의 내용에 기반하여 미리 정의되어 있는 범주에 문서를 자동으로
할당하는 작업이다. 자동 문서 범주화에 관한 기존의 연구들은 지도 학습 기반으로서, 보통 …
할당하는 작업이다. 자동 문서 범주화에 관한 기존의 연구들은 지도 학습 기반으로서, 보통 …