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Browsing by Author Nguyen, Phuong Thai

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  • [doi 10.1109%2Fkse.2011.22] Huy, Nguyen Thanh; Anh, Nguyen Kim; Thai, Nguyen Phuong -- [IEEE 2011 Third International Conference on Knowledge and Systems Engineering (KSE) - Hanoi, Vietnam (2011.10.14.pdf.jpg
  • Conference paper

  • Building an efficient functional-tag labeling system for Vietnamese

    • Authors: Nguyen, Thanh Huy; Nguyen, Kim Anh; Nguyen, Phuong Thai (2011)

  • Functional tags represent the role of syntactic constituents such as noun phrases and verb phrases in a tree. Functional-tag labeling has been studied for languages such as English and Chinese. In this paper, we present a new system for tagging Vietnamese sentences functionally. We used maximum entropy model for this task with six tree-based features. Besides, a new feature based on word cluster has also been made use of. Our experiments on Vietnamese tree bank showed that the system achieved a good performance and the word cluster feature brought a significant improvement
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  • Conference Paper

  • Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features

    • Authors: Bui, Van Tan; Nguyen, Phuong Thai (2018)

  • The lexical entailment recognition problem aims to identify the is-a relation between words. The problem has recently been receiving research attention in the natural language processing field. In this study, we propose a novel method (VLER) for this problem on Vietnamese. For this purpose, we first exploit such lexical structure information of words as a feature, then combine this feature with vectors representation of words such as a unique feature for recognizing the relation. Moreover, we applied a number of methods based on word embedding and supervised learning, experimental results showed that our method achieves the best performance in the hypernymy detection task than other me...
  • item.jpg
  • Conference Paper

  • Hypernymy Detection for Vietnamese Using Dynamic Weighting Neural Network

    • Authors: Bui, Van Tan; Nguyen, Phuong Thai; Pham, Van Lam (2018)

  • The hypernymy detection problem aims to identify the "is-a" relation between words. The problem has recently been receiving attention from researchers in the field of natural language processing. So far, fairly-effective methods for hypernymy detection in English have been reported. Studies of hypernymy detection in Vietnamese have not been reported yet. In this study, we applied a number of hypernymy detection methods based on word embeddings and supervised learning for Vietnamese. We propose an improvement on the method given by Luu Tuan Anh et al. (2016) by weighting context words proportionally to the semantic similarity between them and the hypernym. Based on Vietnamese WordNet,...

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Browsing by Author Nguyen, Phuong Thai

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 3 of 3
  • [doi 10.1109%2Fkse.2011.22] Huy, Nguyen Thanh; Anh, Nguyen Kim; Thai, Nguyen Phuong -- [IEEE 2011 Third International Conference on Knowledge and Systems Engineering (KSE) - Hanoi, Vietnam (2011.10.14.pdf.jpg
  • Conference paper

  • Building an efficient functional-tag labeling system for Vietnamese

    • Authors: Nguyen, Thanh Huy; Nguyen, Kim Anh; Nguyen, Phuong Thai (2011)

  • Functional tags represent the role of syntactic constituents such as noun phrases and verb phrases in a tree. Functional-tag labeling has been studied for languages such as English and Chinese. In this paper, we present a new system for tagging Vietnamese sentences functionally. We used maximum entropy model for this task with six tree-based features. Besides, a new feature based on word cluster has also been made use of. Our experiments on Vietnamese tree bank showed that the system achieved a good performance and the word cluster feature brought a significant improvement
  • item.jpg
  • Conference Paper

  • Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features

    • Authors: Bui, Van Tan; Nguyen, Phuong Thai (2018)

  • The lexical entailment recognition problem aims to identify the is-a relation between words. The problem has recently been receiving research attention in the natural language processing field. In this study, we propose a novel method (VLER) for this problem on Vietnamese. For this purpose, we first exploit such lexical structure information of words as a feature, then combine this feature with vectors representation of words such as a unique feature for recognizing the relation. Moreover, we applied a number of methods based on word embedding and supervised learning, experimental results showed that our method achieves the best performance in the hypernymy detection task than other me...
  • item.jpg
  • Conference Paper

  • Hypernymy Detection for Vietnamese Using Dynamic Weighting Neural Network

    • Authors: Bui, Van Tan; Nguyen, Phuong Thai; Pham, Van Lam (2018)

  • The hypernymy detection problem aims to identify the "is-a" relation between words. The problem has recently been receiving attention from researchers in the field of natural language processing. So far, fairly-effective methods for hypernymy detection in English have been reported. Studies of hypernymy detection in Vietnamese have not been reported yet. In this study, we applied a number of hypernymy detection methods based on word embeddings and supervised learning for Vietnamese. We propose an improvement on the method given by Luu Tuan Anh et al. (2016) by weighting context words proportionally to the semantic similarity between them and the hypernym. Based on Vietnamese WordNet,...