16 citations · 98 across the 30 of their papers we have counts for
11 papers · 1 filter
Structural Textile Pattern Recognition and Processing Based on Hypergraphs
Vuong M. Ngo, Sven Helmer, Nhien-An Le-Khac +1
The humanities, like many other areas of society, are currently undergoing major changes in the wake of digital transformation. However, in order to make collection of digitised ma…
Semantic Search using Spreading Activation based on Ontology
Ngo Minh Vuong
Currently, the text document retrieval systems have many challenges in exploring the semantics of queries and documents. Each query implies information which does not appear in the…
Detecting Vietnamese Opinion Spam
T. H. H Duong, T. D. Vu, V. M. Ngo
Recently, Vietnamese Natural Language Processing has been researched by experts in academic and business. However, the existing papers have been focused only on information classif…
Opinion Spam Recognition Method for Online Reviews using Ontological Features
L. H. Nguyen, N. T. H. Pham, V. M. Ngo
Nowadays, there are a lot of people using social media opinions to make their decision on buying products or services. Opinion spam detection is a hard problem because fake reviews…
Combining Named Entities with WordNet and Using Query-Oriented Spreading Activation for Semantic Text Search
Vuong M. Ngo, Tru H. Cao, Tuan M. V. Le
Purely keyword-based text search is not satisfactory because named entities and WordNet words are also important elements to define the content of a document or a query in which th…
Exploring Combinations of Ontological Features and Keywords for Text Retrieval
Tru H. Cao, Khanh C. Le, Vuong M. Ngo
Named entities have been considered and combined with keywords to enhance information retrieval performance. However, there is not yet a formal and complete model that takes into a…
A Generalized Vector Space Model for Ontology-Based Information Retrieval
Vuong M. Ngo, Tru H. Cao
Named entities (NE) are objects that are referred to by names such as people, organizations and locations. Named entities and keywords are important to the meaning of a document. W…
Semantic Document Clustering on Named Entity Features
Tru H. Cao, Vuong M. Ngo, Dung T. Hong +1
Keyword-based information processing has limitations due to simple treatment of words. In this paper, we introduce named entities as objectives into document clustering, which are…
Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search
Vuong M. Ngo, Tru H. Cao
Traditional information retrieval systems represent documents and queries by keyword sets. However, the content of a document or a query is mainly defined by both keywords and name…
Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search
Vuong M. Ngo, Tru H. Cao
Named entities and WordNet words are important in defining the content of a text in which they occur. Named entities have ontological features, namely, their aliases, classes, and…
Semantic Search by Latent Ontological Features
Tru H. Cao, Vuong M. Ngo
Both named entities and keywords are important in defining the content of a text in which they occur. In particular, people often use named entities in information search. However,…