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Publications (25)

1Random Restarts in Minimum Error Rate Training for Statistical Machine Translation2008  Robert C. Moore,Chris Quirksubstantially. We next try selecting starting points by a random walk from the last local optimum reached, rather than by sampling...

2FactRank: Random Walks on a Web of Facts2010  Alpa Jain,Patrick Pantelgraphranking problem over a fact graph and explore novel random walk algorithms. We present an empirical study, over a large...

3Latent Community Discovery with Network Regularization for Core Actors Clusteringcontinue optimizing the structural part R(N ,G). Obviously, random walk on the network is a simple and effective choice to minimize...

4Measuring the Similarity between TV Programs using Semantic Relations2012  Ichiro Yamada,Masaru Miyazaki,Hideki Sumiyoshi,Atsushi Matsui,Hironori Furumiya,Hideki Tanakatwo TV program’s nodes in the graph structure by using a random walk algorithm. Experiments showed that our method is better...

5Random Walks on ContextAware Relation Graphs for Ranking Social Tagscontextaware relation graph of candidate tags, and propose a random walk algorithm to rank tags for suggestion. Experiment results...

6Walkbased Computation of Contextual Word Similarityand then define a natural random walk model on this graph. The parse graph and the random walk model will be used to define...

7RelationListwise for QueryFocused MultiDocument Summarizationthis sentence property. DivRank uses a vertexreinforced random walk model to rank graph nodes based on a diversity based centrality...

8Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Qualityhigh scores for tweets of good quality, we diversify the random walk probabilities (Brin and Page, 1998) of tweets using content...

9Word Sense Disambiguation using a dictionary for sense similarity measurewith respect to the given task. This is done to allow the random walk to really go into the larger network of senses. 2 Choosing...

10SentTopicMultiRank: a Novel Ranking Model for MultiDocument Summarizationwith biased LexRank by incorporating prior knowledge into random walk for query summarization task. (Wan et al., 2007) exploited...