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» Corpus Based Unsupervised Labeling of Documents
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FLAIRS
2006
13 years 6 months ago
Corpus Based Unsupervised Labeling of Documents
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
Delip Rao, Deepak P, Deepak Khemani
AUSDM
2007
Springer
121views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Using Corpus Analysis to Inform Research into Opinion Detection in Blogs
Opinion detection research relies on labeled documents for training data, either by assumptions based on the document’s origin or by using human assessors to categorise the docu...
Deanna J. Osman, John Yearwood, Peter Vamplew
EMNLP
2010
13 years 2 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
ACL
2009
13 years 2 months ago
Distant supervision for relation extraction without labeled data
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
ICONIP
2007
13 years 6 months ago
Classification of Documents Based on the Structure of Their DOM Trees
In this paper, we discuss kernels that can be applied for the classification of XML documents based on their DOM trees. DOM trees are ordered trees in which every node might be la...
Peter Geibel, Olga Pustylnikov, Alexander Mehler, ...