Information retrieval systems traditionally rely on textual keywords to index and retrieve
documents. Keyword-based retrieval may return inaccurate and incomplete results when …

Semantic association computation is the process of quantifying the strength of a semantic
connection between two textual units, based on different types of semantic relations …

In this article we show how Wikipedia as a multilingual knowledge resource can be
exploited for Cross-Language and Multilingual Information Retrieval (CLIR/MLIR). We …

Lifelong learning addresses the challenge of acquiring new knowledge and tackling new
tasks in a continually evolving environment. Although this thread of research has recently …

We design a new co-occurrence based word association measure by incorporating the
concept of significant cooccurrence in the popular word association measure Pointwise …

Lexical co-occurrence is an important cue for detecting word associations. We present a
theoretical framework for discovering statistically significant lexical co-occurrences from a …

Abstract Explicit Semantic Analysis (ESA) is a knowledge-based method which builds the
semantic representation of the words depending on the textual description of the concepts in …

Wikipedia has become a high coverage knowledge source which has been used in many
research areas such as natural language processing, text mining and information retrieval …

Background: Computing semantic relatedness measures are extensively employed in the
field of Natural Language Processing (NLP) and play pivotal role in Geographic Information …

The task of automatically determining the correct sense of a polysemous word has remained
a challenge to this day. In our research, we introduce Concept-Based Disambiguation …