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SIGIR
1999
ACM
14 years 23 days ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
LREC
2010
170views Education» more  LREC 2010»
13 years 10 months ago
Building a Domain-specific Document Collection for Evaluating Metadata Effects on Information Retrieval
This paper describes the development of a structured document collection containing user-generated text and numerical metadata for exploring the exploitation of metadata in inform...
Walid Magdy, Jinming Min, Johannes Leveling, Garet...
IJCNLP
2004
Springer
14 years 1 months ago
Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this pap...
Zhu Zhang, Dragomir R. Radev
ESWA
2008
140views more  ESWA 2008»
13 years 8 months ago
Web taxonomy integration with hierarchical shrinkage algorithm and fine-grained relations
We address the problem of integrating web taxonomies from different real Internet applications. Integrating web taxonomies is to transfer instances from a source to target taxonom...
Chia-Wei Wu, Richard Tzong-Han Tsai, Cheng-Wei Lee...
ICDAR
2011
IEEE
12 years 8 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...