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» Lexical Semantic Relatedness with Random Graph Walks
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EMNLP
2007
14 years 9 days ago
Lexical Semantic Relatedness with Random Graph Walks
Many systems for tasks such as question answering, multi-document summarization, and information retrieval need robust numerical measures of lexical relatedness. Standard thesauru...
Thad Hughes, Daniel Ramage
LREC
2010
199views Education» more  LREC 2010»
14 years 9 days ago
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
Determining semantic relatedness between words or concepts is a fundamental process to many Natural Language Processing applications. Approaches for this task typically make use o...
Ziqi Zhang, Anna Lisa Gentile, Lei Xia, José...
ACL
2010
13 years 9 months ago
Identifying Text Polarity Using Random Walks
Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of pr...
Ahmed Hassan, Dragomir R. Radev
LREC
2008
107views Education» more  LREC 2008»
14 years 8 days ago
Exploring and Navigating: Tools for GermaNet
GermaNet is regarded to be a valuable resource for many German NLP applications, corpus research, and teaching. This demo presents three GUI-based tools meant to facilitate the ex...
Marc Finthammer, Irene M. Cramer
SDM
2012
SIAM
278views Data Mining» more  SDM 2012»
12 years 1 months ago
Legislative Prediction via Random Walks over a Heterogeneous Graph
In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic