Semantic similarity between words is becoming a generic problem for many applications of
computational linguistics and artificial intelligence. This paper explores the determination of …

The object detection is a challenging problem in computer vision with various potential real-
world applications. The objective of this study is to evaluate the deep learning based object …

Text document clustering plays an important role in providing intuitive navigation and
browsing mechanisms by organizing large sets of documents into a small number of …

The Knowledge Grid is an intelligent and sustainable interaction environment that consists
of autonomous individuals, self-organized semantic communities, adaptive networking …

Spelling errors that happen to result in a real word in the lexicon cannot be detected by a
conventional spelling checker. We present a method for detecting and correcting many such …

Despite the fact that adaptive hypermedia techniques have proven their ability to provide
user guidance and orientation in hyperspace, we do not currently see the widespread …

(57) ABSTRACT A communication collaboration system may include a memory storing
machine readable instructions to receive a first signal representing a first mode of …

This paper explores a method that use WordNet concept to categorize text documents. The
bag of words representation used for text representation is unsatisfactory as it ignores …

Text document clustering plays an important role in providing better document retrieval,
document browsing, and text mining. Traditionally, clustering techniques do not consider the …

在基于语义的查询扩展中, 为了找到描述查询需求语义的相关概念, 词语-概念相关度的计算是
语义查询扩展中的关键一步. 针对词语-概念相关度的计算, 提出一种K2CM (keyword to concept …