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AIME
2007
Springer
15 years 4 months ago
Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data
Software applications that work with biomedical data have significant knowledge-management requirements. Formal knowledge models and knowledge-based methods can be very useful in m...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ACL
1993
14 years 11 months ago
Towards the Automatic Identification of Adjectival Scales: Clustering Adjectives According to Meaning
In this paper we present a method to group adjectives according to their meaning, as a first step towards the automatic identification of adjectival scales. We discuss the propert...
Vasileios Hatzivassiloglou, Kathleen McKeown
ICDAR
2009
IEEE
14 years 7 months ago
Analysis of Book Documents' Table of Content Based on Clustering
Table of contents (TOC) recognition has attracted a great deal of attention in recent years. After reviewing the merits and drawbacks of the existing TOC recognition methods, we h...
Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimi...
EMNLP
2009
14 years 7 months ago
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlang...
Samer Hassan, Rada Mihalcea