Through the recent NTCIR workshops, patent retrieval casts many challenging issues to information retrieval community. Unlike newspaper articles, patent documents are very long an...
In-Su Kang, Seung-Hoon Na, Jungi Kim, Jong-Hyeok L...
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
Umarani Pappuswamy, Dumisizwe Bhembe, Pamela W. Jo...
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...