Browsing by Author Nguyen, Thi Minh Huyen

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  • Authors: Nguyen, Thi Minh Huyen (2020)

  • This introductory course provides an overview of the fundamental concepts such as business writing, business reports, professionalism, teamwork & meetings, employment communication

  • Chap001.pdf.jpg
  • Presentation


  • Authors: Nguyen, Thi Minh Huyen (2020)

  • This introductory course provides an overview of the fundamental concepts such as cultural diversity, cultural dimensions, corporate culture, cross-cultural communication

  • BME 01 bis.pdf.jpg
  • Presentation


  • Authors: Nguyen, Thi Minh Huyen (2020)

  • This course provides a cohesive overview of the role of culture in conducting global business and the management issues influenced by differences in cultures. Thus, it will address differences in attitudes, values and beliefs among peoples with different cultural background that have a huge influence on managers and management practice and on how organizations can cultivate a global mindset among its workforce. The course content is relevant to all individuals who will be engaged in the general management of people and are applicable to all types of jobs within all organizations and industries.

  • 166-1-641-2-10-20180311.pdf.jpg
  • Article


  • Authors: Le, Hong Phuong; Pham, Thai Hoang; Pham, Xuan Khoai; Nguyen, Thi Minh Huyen; Nguyen, Thi Luong; Nguyen, Minh Hiep (2018)

  • In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language. We present our effort in building Vietnamese PropBank, the first Vietnamese SRL corpus and a software system for labelling semantic roles of Vietnamese texts. In particular, we present a novel constituent extraction algorithm in the argument candidate identification step which is more suitable and more accurate than the common node-mapping method. In the machine learning part, our system integrates distributed word features produced by two recent unsupervised learning models in two learned statistical classifiers and makes...

Browsing by Author Nguyen, Thi Minh Huyen

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 4 of 4
  • topic3.pdf.jpg
  • Presentation


  • Authors: Nguyen, Thi Minh Huyen (2020)

  • This introductory course provides an overview of the fundamental concepts such as business writing, business reports, professionalism, teamwork & meetings, employment communication

  • Chap001.pdf.jpg
  • Presentation


  • Authors: Nguyen, Thi Minh Huyen (2020)

  • This introductory course provides an overview of the fundamental concepts such as cultural diversity, cultural dimensions, corporate culture, cross-cultural communication

  • BME 01 bis.pdf.jpg
  • Presentation


  • Authors: Nguyen, Thi Minh Huyen (2020)

  • This course provides a cohesive overview of the role of culture in conducting global business and the management issues influenced by differences in cultures. Thus, it will address differences in attitudes, values and beliefs among peoples with different cultural background that have a huge influence on managers and management practice and on how organizations can cultivate a global mindset among its workforce. The course content is relevant to all individuals who will be engaged in the general management of people and are applicable to all types of jobs within all organizations and industries.

  • 166-1-641-2-10-20180311.pdf.jpg
  • Article


  • Authors: Le, Hong Phuong; Pham, Thai Hoang; Pham, Xuan Khoai; Nguyen, Thi Minh Huyen; Nguyen, Thi Luong; Nguyen, Minh Hiep (2018)

  • In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language. We present our effort in building Vietnamese PropBank, the first Vietnamese SRL corpus and a software system for labelling semantic roles of Vietnamese texts. In particular, we present a novel constituent extraction algorithm in the argument candidate identification step which is more suitable and more accurate than the common node-mapping method. In the machine learning part, our system integrates distributed word features produced by two recent unsupervised learning models in two learned statistical classifiers and makes...