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SynsetRank: Degree-adjusted Random Walk for Relation Identification [article]

Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn, Sven Schmeier, Nico Goernitz, Feiyu Xu
2016 arXiv   pre-print

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2016 pre-print
arXiv:1609.00626v1 fatcat:tg2wtncl4ng2lj4qrf363gcodq
In our experiment on 13 relations in the FB15K-237 dataset, SynsetRank significantly outperforms baselines and the plain random walk approach.  ...  With the insight from this unsuccessful trial, we propose SynsetRank, which adjusts the initial probability so that high degree nodes influence the neighbors as strong as low degree nodes.  ...  We call this degree-adjusted random walk approach SynsetRank. A.  ... 
arXiv:1609.00626v2 fatcat:lulerd5qrnbqfp3pj2p6eib36u
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Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn, Sven Schmeier, Nico Goernitz, Feiyu Xu. "SynsetRank: Degree-adjusted Random Walk for Relation Identification." arXiv (2016)