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» Learning Word Representations from Relational Graphs
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130
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NAACL
2007
15 years 5 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
LREC
2010
163views Education» more  LREC 2010»
15 years 5 months ago
Meaning Representation: From Continuity to Discreteness
This paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Pr...
Fabienne Venant
111
Voted
CIKM
2009
Springer
15 years 10 months ago
Towards a universal wordnet by learning from combined evidence
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous applications in areas like NLP, IR, and AI. We propose a methodology for the au...
Gerard de Melo, Gerhard Weikum
146
Voted
LREC
2010
199views Education» more  LREC 2010»
15 years 5 months ago
Building a Cross-lingual Relatedness Thesaurus using a Graph Similarity Measure
The Internet is an ever growing source of information stored in documents of different languages. Hence, cross-lingual resources are needed for more and more NLP applications. Thi...
Lukas Michelbacher, Florian Laws, Beate Dorow, Ulr...
163
Voted
CVPR
2009
IEEE
16 years 10 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...