Abstract: The efficient annotation of documents in vast corpora calls for scalable methods of text classification. Rep- resenting the documents in the form ...

PDF | The efficient annotation of documents in vast corpora calls for scalable methods of text classification. Rep-resenting the documents in the form.

Representing the documents in the form of graph vertices, rather than in the form of vectors in a bag of words space, allows for the necessary information to be ...

Scalable Corpus Annotation by Graph Construction and Label Propagation · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...

We investigate a method based on the creation of a graph, whose vertices are the documents and the edges represent some notion of semantic similarity. In this ...

40: SCALABLE CORPUS ANNOTATION BY GRAPH CONSTRUCTION AND LABEL PROPAGATION Thomas Lansdall-Welfare, Ilias Flaounas and Nello Cristianini; 184: CLUSTERING ...

In this article, we exploit the problem of annotating a large-scale image corpus by label propagation over noisily tagged web images. To annotate the images ...

To account for this, we present the Corpus Anno- tation Graph (CAG) architectural framework based on a create-and-annotate pattern that en- ables users to build ...

ABSTRACT. Annotating large-scale image corpus requires huge amount of human efforts and is thus generally unaffordable, which.