Sebastian Padó

C. Scheible and R. Klinger and S. Pado. Model Architectures for Quotation Detection. Proceedings of ACL. Berlin, Germany.

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Quotation detection is the task of locating spans of quoted speech in text. The state of the art treats this problem as a sequence labeling task and employs linear-chain conditional random fields. We question the efficacy of this choice: The Markov assumption in the model prohibits it from making joint decisions about the begin, end, and internal context of a quotation. We perform an extensive analysis with two new model architectures. We find that (a), simple boundary classification combined with a greedy prediction strategy is competitive with the state of the art; (b), a semi-Markov model significantly outperforms all others, by relaxing the Markov assumption.

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@InProceedings{scheible16:_model_archit_quotat_detec,
  author = 	 {Christian Scheible and Roman Klinger and Sebastian Padó},
  title = 	 {Model Architectures for Quotation Detection},
  booktitle = {Proceedings of ACL},
  year = 	 2016,
  address = 	 {Berlin, Germany},
  pages = 	"1736--1745",
}