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Chapter and Conference Paper
Forecasting the Magnitude of Dengue in Southern Vietnam
With recent rises of sophisticated and dangerous epidemics, there is a growing need for a system that could predict disease severity with high accuracy. In this paper, we address the problem of forecasting the...
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Chapter and Conference Paper
Multi-group-based User Perceptions for Friend Recommendation in Social Networks
Friend recommendation is one of the most important services of social networks. There is a great interest in determining a user’s perception, which is a set of social features based on which the user make frie...
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Chapter and Conference Paper
Towards Vietnamese Entity Disambiguation
Entity Disambiguation (ED) is a fundamental task in Natural Language Processing (NLP). The term Entity is used to mean either a Named Entity or an Abstract Concept. Although there have been many works on the ED t...
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Article
Open AccessNamed Entity Disambiguation: A Hybrid Approach
Semantic annotation of named entities for enriching unstructured content is a critical step in development of Semantic Web and many Natural Language Processing applications. To this end, this paper addresses t...
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Chapter and Conference Paper
Heuristics- and Statistics-Based Wikification
With the wide usage of Wikipedia in research and applications,disambiguation of concepts and entities to Wikipedia is an essential component in natural language processing. This paper addresses the task of ide...
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Article
Semantic Search by Latent Ontological Features
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, named entities have ontologi...
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Chapter and Conference Paper
A High-Order Hidden Markov Model for Emotion Detection from Textual Data
Emotion detection from text is still an appealing challenge. The approaches to this problem have been done firstly based on just emotional keywords, and then extended with utilizing also other generic terms. H...
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Chapter
Text Clustering with Named Entities: A Model, Experimentation and Realization
Named entities often occur in web pages, in particular news articles, and are important to what the web pages are about. They have ontological features, namely, their aliases, types, and identifiers, which are...
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Chapter and Conference Paper
Fusing Conceptual Graphs and Fuzzy Logic: Towards the Structure and Expressiveness of Natural Language
Natural language is a principal and important means of human communication. It is used to express information as inputs to be processed by human brains then, very often, outputs are also expressed in natural l...
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Chapter and Conference Paper
Conceptual Graphs for Semantic Email Addressing
Nowadays, email has become pervasive and played an important role in an information society. However, in order to send an email to a person or a group of people, senders have to specify exactly the email addre...
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Chapter
Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search
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 named entities occurring in it. N...
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Chapter
Combination of Uncertain Class Membership Degrees with Probabilistic, Belief, and Possibilistic Measures
One important issue of uncertain or fuzzy object-oriented models is that uncertain membership degrees of an object to the classes in a class hierarchy may be obtained from different sources while they are actu...
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Chapter and Conference Paper
Exploring Wikipedia and Text Features for Named Entity Disambiguation
Precisely identifying entities is essential for semantic annotation. This paper addresses the problem of named entity disambiguation that aims at map** entity mentions in a text onto the right entities in Wi...
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Chapter and Conference Paper
Ontology-Based Understanding of Natural Language Queries Using Nested Conceptual Graphs
In a question answering system, users always prefer entering queries in natural language and not being constrained by a rigorous grammar. This paper proposes a syntax-free method for natural language query und...
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Chapter and Conference Paper
Exploring Combinations of Ontological Features and Keywords for Text Retrieval
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 account entity names, classes,...
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Chapter
Approximating Reasoning for Fuzzy-Based Information Retrieval
Among modern applications of document retrieval, a practical system for retrieving scientific publications has recently been attracting much attention from research community. In a scientific document, there a...
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Chapter
Modelling and Computing with Imprecise and Uncertain Properties in Object Bases
Although fuzzy set and probability theories are complementary for dealing with pervasive imprecision and uncertainty in real world problems, object-oriented database models combining the relevance and strength...
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Chapter and Conference Paper
Named Entity Disambiguation: A Hybrid Statistical and Rule-Based Incremental Approach
The rapidly increasing use of large-scale data on the Web makes named entity disambiguation become one of the main challenges to research in Information Extraction and development of Semantic Web. This paper p...
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Chapter and Conference Paper
A Robust Ontology-Based Method for Translating Natural Language Queries to Conceptual Graphs
A natural language interface is always desirable for a search system. While performance of machine translation for general texts with acceptable computational costs seems to reach a limit, narrowing down the d...
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Article
VN-KIM IE: Automatic Extraction of Vietnamese Named-Entities on the Web
The most fascinating advantage of the semantic web would be its capability of understanding and processing the contents of web pages automatically. Basically, the semantic web realization involves two main tas...
