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AAAI
2004
13 years 10 months ago
Discriminating Among Word Meanings by Identifying Similar Contexts
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Amruta Purandare, Ted Pedersen
EMNLP
2010
13 years 6 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar
ECIR
2007
Springer
13 years 10 months ago
A Hierarchical Consensus Architecture for Robust Document Clustering
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
Xavier Sevillano, Germán Cobo, Francesc Al&...
WADS
2009
Springer
256views Algorithms» more  WADS 2009»
14 years 3 months ago
Dynamic Graph Clustering Using Minimum-Cut Trees
Abstract. Algorithms or target functions for graph clustering rarely admit quality guarantees or optimal results in general. Based on properties of minimum-cut trees, a clustering ...
Robert Görke, Tanja Hartmann, Dorothea Wagner
COLING
2002
13 years 8 months ago
Concept Discovery from Text
Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
Dekang Lin, Patrick Pantel