This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Abstract. Previous work of the authors has studied a notion of implication between sets of sequences based on the conceptual structure of a Galois lattice, and also a way of repres...
The new wrapper model for extractiong text data from HTML documents is introduced. The Kushmerick's wrapper class (Kusshmerick 2000) may be unsuccessful in the case that suff...
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...