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% Selection : Author: Peter_Dienes
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@InProceedings{Oravecz_Dienes:2002,
      AUTHOR = {Oravecz, Csaba and Dienes, Peter},
      TITLE = {Efficient Stochastic Part-of-Speech Tagging for Hungarian},
      YEAR = {2002},
      BOOKTITLE = {Proceedings of the Third International Conference on Language Resources and Evaluation (LREC2002), May 29-31},
      PAGES = {710-717},
      ADDRESS = {Las Palmas, Canary Islands, Spain},
      URL = {https://www.coli.uni-saarland.de/~dienes/oravecz_dienes_02.ps.gz},
      ABSTRACT = {Many of the methods developed for Western European languages and used widespread to produce annotated language resources cannot readily be applied to Central and Eastern European languages, due to the large number of novel phenomena exhibited in the syntax and morphology of these languages, which these methods have to handle but have not been designed to cope with. The process of morphological tagging when applied to Hungarian data to produce corpora annotated at least at the morphosyntactic level is most indicative of this problem: several of the algorithms (either rule-based or statistical) that have been used very successfully in other domains cannot readily be applied to a language exhibiting such a varied morphology and huge number of wordforms as Hungarian. The paper will describe a robust tagging scenario for Hungarian using a relatively simple stochastic system augmented with external morphological processing, which can overcome the two most conspcicuous problems: the complexity of morphosyntactic descriptions and most importantly the huge number of possible wordforms.},
      ANNOTE = {COLIURL : Oravecz:2002:ESP.pdf Oravecz:2002:ESP.ps}
}

@InProceedings{Dienes_et_al:2003,
      AUTHOR = {Dienes, Peter and Koller, Alexander and Kuhlmann, Marco},
      TITLE = {Statistical A* Dependency Parsing},
      YEAR = {2003},
      BOOKTITLE = {Proceedings of the Workshop on Prospects and Advances in the Syntax/Semantics Interface},
      ADDRESS = {Nancy}
}

@InProceedings{Dienes_Dubey:2003,
      AUTHOR = {Dienes, Peter and Dubey, Amit},
      TITLE = {Antecedent Recovery: Experiments with a Trace Tagger},
      YEAR = {2003},
      BOOKTITLE = {In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP 2003},
      ADDRESS = {Sapporo, Japan},
      URL = {https://www.coli.uni-saarland.de/~dienes/dienes_dubey_emnlp03.ps.gz},
      ABSTRACT = {This paper explores the problem of finding non-local dependencies. First, we isolate a set of features useful for this task. Second, we develop both a two-step approach which combines a trace tagger with a state-of-the-art lexicalized parser and a one-step approach which finds non-local dependencies while parsing. We find that the former outperforms the latter because it makes better use of the features we isolate.}
}

@InProceedings{Dienes_Dubey:2003_1,
      AUTHOR = {Dienes, Peter and Dubey, Amit},
      TITLE = {Deep Syntactic Processing by Combining Shallow Methods},
      YEAR = {2003},
      BOOKTITLE = {Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, ACL 2003},
      ADDRESS = {Sapporo, Japan},
      URL = {https://www.coli.uni-saarland.de/~dienes/dienes_dubey_acl03.ps.gz},
      ABSTRACT = {We present a novel approach for finding discontinuities that outperforms previously published results on this task. Rather than using a deeper grammar formalism, our system combines a simple unlexicalized PCFG parser with a shallow pre-processor. This pre-processor, which we call a trace tagger, does surprisingly well on detecting where discontinuities can occur without using phase structure information.}
}

@InProceedings{Dienes_Dubey:2003_2,
      AUTHOR = {Dienes, Peter and Dubey, Amit},
      TITLE = {Deep Processing by Combining Shallow Methods},
      YEAR = {2003},
      BOOKTITLE = {ACL},
      ADDRESS = {Sapporo, Japan}
}