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» Lexical Semantic Relatedness with Random Graph Walks
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CIKM
2005
Springer
13 years 11 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
EMNLP
2010
13 years 3 months ago
Automatic Keyphrase Extraction via Topic Decomposition
Existing graph-based ranking methods for keyphrase extraction compute a single importance score for each word via a single random walk. Motivated by the fact that both documents a...
Zhiyuan Liu, Wenyi Huang, Yabin Zheng, Maosong Sun
ACL
2006
13 years 6 months ago
LexNet: A Graphical Environment for Graph-Based NLP
This interactive presentation describes LexNet, a graphical environment for graph-based NLP developed at the University of Michigan. LexNet includes LexRank (for text summarizatio...
Dragomir R. Radev, Günes Erkan, Anthony Fader...
ICWSM
2009
13 years 3 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
13 years 11 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose