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    <pubDate>Wed, 21 Dec 2011 12:09:03 +0000</pubDate>
    <lastBuildDate>Wed, 21 Dec 2011 12:09:03 +0000</lastBuildDate>
    <item>
      <title>Efficient Deep Processing of Japanese</title>
      <link>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23668</link>
      <description>We present a broad coverage Japanese grammar written in the HPSG formalism with MRS semantics. The grammar is created for use in real world applications, such that robustness and performance issues play an important role. It is connected to a POS tagging and word segmentation tool. This grammar is being developed in a multilingual context, requiring MRS structures that are easily comparable across languages.</description>
      <author>Melanie Siegel; Emily M. Bender</author>
      <category>conferenceobject</category>
      <guid>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23668</guid>
      <pubDate>Wed, 21 Dec 2011 12:09:03 +0000</pubDate>
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    <item>
      <title>Parallel Distributed Grammar Engineering for Practical Applications</title>
      <link>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23667</link>
      <description>Based on a detailed case study of parallel grammar development distributed across two sites, we review some of the requirements for regression testing in grammar engineering, summarize our approach to systematic competence and performance profiling, and discuss our experience with grammar development for a commercial application. If possible, the workshop presentation will be organized around a software demonstration.</description>
      <author>Stephan Oepen; Emily M. Bender; Uli Callmeier; Dan Flickinger; Melanie Siegel</author>
      <category>conferenceobject</category>
      <guid>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23667</guid>
      <pubDate>Wed, 21 Dec 2011 11:46:14 +0000</pubDate>
    </item>
    <item>
      <title>An Integrated Architecture for Shallow and Deep Processing</title>
      <link>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23662</link>
      <description>We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from named entity recognition to chunk parsing and shallow clause recognition. The NLP components enrich a representation of natural language text with layers of new XML meta-information using a single shared data structure, called the text chart. We describe details of the integration methods, and show how information extraction and language checking applications for realworld German text benefit from a deep grammatical analysis.</description>
      <author>Berthold Crysmann; Anette Frank; Bernd Kiefer; Stefan Müller; Günter Neumann; Jakub Piskorski; Ulrich Schäfer; Melanie Siegel; Hans Uszkoreit; Feiyu Xu; Markus Becker; Hans-Ulrich Krieger</author>
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      <guid>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/23662</guid>
      <pubDate>Wed, 21 Dec 2011 10:57:54 +0000</pubDate>
    </item>
    <item>
      <title>Towards a dependency-oriented evaluation for partial parsing</title>
      <link>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9934</link>
      <description>Quantitative evaluation of parsers has traditionally centered around the PARSEVAL measures of crossing brackets, (labeled) precision, and (labeled) recall. However, it is well known that these measures do not give an accurate picture of the quality of the parsers output. Furthermore, we will show that they are especially unsuited for partial parsers. In recent years, research has concentrated on dependencybased evaluation measures. We will show in this paper that such a dependency-based evaluation scheme is particularly suitable for partial parsers. TüBa-D, the treebank used here for evaluation, contains all the necessary dependency information so that the conversion of trees into a dependency structure does not have to rely on heuristics. Therefore, the dependency representations are not only reliable, they are also linguistically motivated and can be used for linguistic purposes.</description>
      <author>Sandra Kübler; Heike Telljohann</author>
      <category>article</category>
      <guid>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9934</guid>
      <pubDate>Mon, 03 Nov 2008 14:56:15 +0100</pubDate>
    </item>
    <item>
      <title>Machine learning approaches in computational linguistics : introduction</title>
      <link>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9882</link>
      <description/>
      <author>Erhard W. Hinrichs; Sandra Kübler</author>
      <category>other</category>
      <guid>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9882</guid>
      <pubDate>Tue, 21 Oct 2008 16:14:59 +0200</pubDate>
    </item>
    <item>
      <title>A hybrid architecture for robust parsing of german</title>
      <link>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9870</link>
      <description>This paper provides an overview of current research on a hybrid and robust parsing architecture for the morphological, syntactic and semantic annotation of German text corpora. The novel contribution of this research lies not in the individual parsing modules, each of which relies on state-of-the-art algorithms and techniques. Rather what is new about the present approach is the combination of these modules into a single architecture. This combination provides a means to significantly optimize the performance of each component, resulting in an increased accuracy of annotation.</description>
      <author>Erhard W. Hinrichs; Sandra Kübler; Frank H. Müller; Tylman Ule</author>
      <category>article</category>
      <guid>http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9870</guid>
      <pubDate>Tue, 21 Oct 2008 11:41:49 +0200</pubDate>
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