From TagME to WAT: a new entity annotator

@inproceedings{Piccinno2014FromTT,
  title={From TagME to WAT: a new entity annotator},
  author={Francesco Piccinno and Paolo Ferragina},
  booktitle={ERD@SIGIR},
  year={2014}
}
In this paper we propose a novel entity annotator for texts which hinges on TagME's algorithmic technology, currently the best one available. The novelty is twofold: from the one hand, we have engineered the software in order to be modular and more efficient; from the other hand, we have improved the annotation pipeline by re-designing all of its three main modules: spotting, disambiguation and pruning. In particular, the re-design has involved the detailed inspection of the performance of… CONTINUE READING

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Key Quantitative Results

  • This extensive experimentation allowed us to derive the best combination which achieved on the ERD development dataset an F1 score of 74.8%, which turned to be 67.2% F1 for the test dataset.
  • With respect to classic TagME on the development dataset the improvement ranged from 1% to 9% on the D2W benchmark, depending on the disambiguation algorithm being used.

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