Named entity mining from click-through data using weakly supervised latent dirichlet allocation

@inproceedings{Xu2009NamedEM,
  title={Named entity mining from click-through data using weakly supervised latent dirichlet allocation},
  author={Gu Xu and Shuang-Hong Yang and Hang Li},
  booktitle={KDD},
  year={2009}
}
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially useful in many applications including web search, online advertisement, and recommender system. There are three challenges for the task: finding suitable data source, coping with the ambiguities of named entity classes, and incorporating necessary human supervision into the mining process. This paper proposes conducting… CONTINUE READING
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