NAF standard reference

  • Antske Fokkens, Aitor Soroa, Zuhaitz Beloki, Niels Ockeloen, German Rigau, Willem Robert van Hage and Piek Vossen. 2014. NAF and GAF: Linking Linguistic Annotations. In: Proceedings 10th Joint ISO-ACL SIGSEM Workshop on Interoperable Semantic Annotation. Reykjavik, Iceland.

Related Work


  • Wauter Bosma, Piek Vossen, Aitor Soroa, German Rigau, Maurizio Tesconi, Andrea Marchetti, Monica Monachini and Carlo Aliprandi. 2009. KAF: a generic semantic annotation format. In Proceedings of the 5th International Conference on Generative Approaches to the Lexicon GL 2009, Pisa, Italy.
  • Sebastian Hellmann, Jens Lehmann, Sören Auer, and Marten Brümmer. 2013. Integrating nlp using linked data. In Proceedings of the 12th International Semantic Web Conference (ISWC).
  • Nancy Ide, Laurent Romary and Eric Villemonte de La Clergerie. 2003. International standard for a linguistic annotation framework. In Proceedings of the HLT-NAACL 2003 Workshop on Software Engineering and Architecture of Language Technology Systems (SEALTS). Association for Computational Linguistics.
  • Marie-Francine Moens, Oleksandr Kolomiyets, Emanuele Pianta, Sara Tonelli, and Steven Bethard. 2011. D3.1: State-of-the-art and design of novel annotation languages and technologies: Updated version. Technical report, TERENCE project – ICT FP7 Programme – ICT-2010-25410

Other references

  • Anders Björkelund, Love Hafdell, and Pierre Nugues. 2009. Multilingual semantic role labeling. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009, pages 43–48, Stroudsburg, PA, USA. Association for Computational Linguistics.
  • Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp. 1-8. Association for Computational Linguistics.
  • Dan Klein and Christopher D. Manning. 2003. Fast exact inference with a factored model for natural language parsing. In In Advances in Neural Information Processing Systems 15 (NIPS, pages 3–10. MIT Press.
  • Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. 2011. Stanford’s multi-pass sieve coreference resolution system at the CoNLL-2011 shared task. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, page 28–34.
  • Heeyoung Lee, Angel Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. 2013. Deterministic coreference resolution based on entity- centric, precision-ranked rules. Computational Linguistics, pages 1–54.
  • Pablo N. Mendes, Max Jakob, Andrés García-Silva, and Christian Bizer. 2011. DBpedia spotlight: shedding light on the web of documents. In Proceedings of the 7th International Conference on Semantic Systems, pp. 1-8. ACM.
  • K. Raghunathan, H. Lee, S. Rangarajan, N. Chambers, M. Surdeanu, D. Jurafsky, and C. Manning. 2010. A multi-pass sieve for coreference resolution. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, page 492–501.
  • Adwait Ratnaparkhi. 1999. Learning to parse natural language with maximum entropy models. Machine learning 34, no. 1-3: 151-175.
  • Roser Saurí and James Pustejovsky. FactBank: a corpus annotated with event factuality. Language resources and evaluation 43, no. 3 (2009): 227-268.
  • Kristina Toutanova, Dan Klein, Christopher Manning, and Yoram Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of HLT-NAACL, pages 252–259.
  • Naushad UzZaman, Hector Llorens, Leon Derczynski, Marc Verhagen, James Allen and James Pustejovsky. 2013. SemEval-2013 Task 1: TempEval-3: Evaluating time expressions, events, and temporal relations. In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), in conjunction with the Second Joint Conference on Lexical and Computational Semantics (*SEM 2013). Association for Computational Linguistics.

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