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NAACL
2007
14 years 11 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
WAIM
2010
Springer
14 years 7 months ago
HyperGraphDB: A Generalized Graph Database
We present HyperGraphDB, a novel graph database based on generalized hypergraphs where hyperedges can contain other hyperedges. This generalization automatically reifies every ent...
Borislav Iordanov
MUC
1993
15 years 1 months ago
GE-CMU: description of the SHOGUN system used for MUC-5
This paper describes the GE-CMU TIPSTER/SHOGUN system as configured for the TIPSTER 24-month (MUC-5) benchmark, and gives details of the system's performance on the selected ...
Paul S. Jacobs, George B. Krupka, Lisa F. Rau, Mic...
KDD
2009
ACM
200views Data Mining» more  KDD 2009»
15 years 4 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...
EMNLP
2010
14 years 7 months ago
Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elici...
Ekaterina Buyko, Udo Hahn