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Study on Supervised Learning of Vietnamese Word Sense ...


Study on Supervised Learning of Vietnamese Word Sense ... - J-Stage

This current research is the first attempt to study Vietnamese WSD. Especially, we would like to explore the effective features for training WSD classifiers and ...

(PDF) Study on Supervised Learning of Vietnamese Word Sense ...

This current research is the first attempt to study Vietnamese WSD. Es-pecially, we would like to explore the effective features for training WSD classifiers ...

Study on Supervised Learning of Vietnamese Word Sense ... - J-Stage

Study on Supervised Learning of Vietnamese Word Sense. Disambiguation Classifiers. Minh Hai Nguyen. † and Kiyoaki Shirai. ††. It is said that Vietnamese is a ...

Study on Supervised Learning of Vietnamese Word Sense ...

This current research is the first attempt to study Vietnamese WSD. Especially, we would like to explore the effective features for training WSD classifiers and ...

Study on Supervised Learning of Vietnamese Word Sense ...

CiNii Research. Study on Supervised Learning of Vietnamese Word Sense Disambiguation Classifiers. Call No. (NDL): Z21-B168. Bibliographic ID of National Diet ...

A study of Vietnamese readability assessing through semantic and ...

The current study emphasizes the importance of considering both statistical and semantic aspects for a more accurate assessment of text ...

Word Sense Disambiguation | Request PDF - ResearchGate

... words, thereby inducing word senses. The underlying assumption is that ... Study on Supervised Learning of Vietnamese Word Sense Disambiguation Classifiers.

Combining Statistical Machine Learning with Transformation Rule ...

Combining Statistical Machine Learning with Transformation Rule Learning for Vietnamese Word Sense Disambiguation ... Language Processing: A Case Study in ...

Combining Proper Name-Coreference with Conditional Random ...

a semi-supervised learning method for recognizing named entities in Vietnamese ... Yarowsky, D.: Unsupervised Word Sense Disambiguation Rivaling Supervised.

Hypernymy Detection for Vietnamese Using Dynamic Weighting ...

In Vietnamese, this problem has not been effectively solved. In this study, we applied a number of hypernymy detection methods based on word ...

Word sense disambiguation: an evaluation study of semi-supervised ...

This paper aims at adapting semi-supervised algorithms for WSD using word embeddings from Word2Vec, FastText, and BERT models combined with part-of-speech ...

Deep Neural Networks Algorithm for Vietnamese Word Segmentation

Traditional Vietnamese word segmentation methods do not perform well in the face of Vietnamese ambiguity, in response to the enormous challenge posed by the ...

A Weakly Supervised Data Labeling Framework for Machine Lexical ...

Experimental results demonstrate the effectiveness of our weak supervision framework in normalizing Vietnamese text, especially when utilizing ...

Code-switching input for machine translation: a case study of ...

The English L1/Vietnamese L2 annotator was mainly responsible for Grammaticality and Fluency judgements, and the Vietnamese L1/English L2 annotator was mainly ...

A review of semi-supervised learning for text classification - NCBI

Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations. ... training for Vietnamese sentiment ...

Neural Machine Translation between Vietnamese and English

The state of the art achieves impressive results for popular language pairs such as English - French or English - Chinese. However for English - ...

Naïve Bayes Approach for Word Sense Disambiguation System With ...

One of the most popular research methods WSD is the supervised learning approach. In this paper, we examine the Naive Bayes text classification.

Towards State-of-the-art English-Vietnamese Neural Machine ...

Our contribution includes: (1) an enormous effort in collecting training dataset, (2) adaptation of current neural machine for English-Vietnamese translation, ( ...

Word Sense Disambiguation Using Clustered Sense Labels - MDPI

Recently, it has mostly been studied with machine learning models typically using the supervised, unsupervised, and knowledge-based approaches [ ...

Semi-Supervised Learning Methods For Word Sense Disambiguation

It begins by introducing the problem of word sense disambiguation and how supervised and unsupervised learning approaches have limitations. It then discusses ...