Sciweavers

TREC
2000
14 years 23 days ago
Question Answering Considering Semantic Categories and Co-Occurrence Density
In this paper, we present a Question Answering system called KUQA (Korea University Question Answering system) developed by using semantic categories and co-occurrence density. Se...
Soo-Min Kim, Dae-Ho Baek, Sang-Beom Kim, Hae-Chang...
NAACL
2007
14 years 26 days ago
Hybrid Models for Semantic Classification of Chinese Unknown Words
This paper addresses the problem of classifying Chinese unknown words into fine-grained semantic categories defined in a Chinese thesaurus. We describe three novel knowledge-based...
Xiaofei Lu
COLING
2008
14 years 27 days ago
Anomalies in the WordNet Verb Hierarchy
The WordNet verb hierarchy is tested, with a view to improving the performance of its applications, revealing topological anomalies and casting doubt on its semantic categories. E...
Tom Richens
FLAIRS
2007
14 years 1 months ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 5 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
SEMCO
2009
IEEE
14 years 6 months ago
Semantic Image Classification for Medical Videos
Due to rapid advances in video technology and biomedicine, there has been a tremendous growth in the volume of medical video data for recent years. Exploring the full potential of...
Shih-Hsi Liu, Yu Cao, Yili Li, Ming Li, Sanqing Hu
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 12 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...