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» Kernel methods, syntax and semantics for relational text cat...
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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 5 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
NIPS
2001
13 years 6 months ago
Hyperbolic Self-Organizing Maps for Semantic Navigation
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a "hyperbolic SOM" (HSOM) based on a regular...
Jörg Ontrup, Helge Ritter
LREC
2010
188views Education» more  LREC 2010»
13 years 6 months ago
Pattern-Based Extraction of Negative Polarity Items from Dependency-Parsed Text
We describe a new method for extracting Negative Polarity Item candidates (NPI candidates) from dependency-parsed German text corpora. Semi-automatic extraction of NPIs is a chall...
Fabienne Fritzinger, Frank Richter, Marion Weller
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
SIGIR
2006
ACM
13 years 10 months ago
Latent semantic analysis for multiple-type interrelated data objects
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang...