OPT: Oslo-Potsdam-Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing

@inproceedings{Oepen2016OPTOP,
  title={OPT: Oslo-Potsdam-Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing},
  author={Stephan Oepen and Jonathon Read and Tatjana Scheffler and Uladzimir Sidarenka and Manfred Stede and Erik Velldal and Lilja \Ovrelid},
  booktitle={CoNLL Shared Task},
  year={2016}
}
The OPT submission to the Shared Task of the 2016 Conference on Natural Language Learning (CoNLL) implements a ‘classic’ pipeline architecture, combining binary classification of (candidate) explicit connectives, heuristic rules for non-explicit discourse relations, ranking and ‘editing’ of syntactic constituents for argument identification, and an ensemble of classifiers to assign discourse senses. With an end-toend performance of 27.77 F1 on the English ‘blind’ test data, our system advances… CONTINUE READING

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