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.

Bibliographic details on Scalable Corpus Annotation by Graph Construction and Label Propagation.

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 ...

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 ...

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

This means that the graph for Zhu's label propagation can be reduced by one labeled sample ... Table 5.1: Run time for brute force graph construction and original ...

Jul 7, 2023 · scalable construction of task distributions and demonstrate how ... by carefully implementing label propagation by k-nearest neighbors.

Efficient region-aware large graph construction towards scalable multi-label propagation. Authors: Bing-Kun Bao, Bingbing Ni, Yadong Mu, and Shuicheng Yan ...