@phdthesis{Ritz2013,
  author    = {Ritz, Julia},
  title     = {Discourse-givenness of noun phrases : theoretical and computational models},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-70818},
  school      = {Universit{\"a}t Potsdam},
  year      = {2013},
  abstract  = {This thesis gives formal definitions of discourse-givenness, coreference and reference, and reports on experiments with computational models of discourse-givenness of noun phrases for English and German. Definitions are based on Bach's (1987) work on reference, Kibble and van Deemter's (2000) work on coreference, and Kamp and Reyle's Discourse Representation Theory (1993). For the experiments, the following corpora with coreference annotation were used: MUC-7, OntoNotes and ARRAU for Englisch, and TueBa-D/Z for German. As for classification algorithms, they cover J48 decision trees, the rule based learner Ripper, and linear support vector machines. New features are suggested, representing the noun phrase's specificity as well as its context, which lead to a significant improvement of classification quality.},
  language  = {en}
}
@article{ChiarcosDipperGoetzeetal.2008,
  author    = {Chiarcos, Christian and Dipper, Stefanie and G{\"o}tze, Michael and Leser, Ulf and L{\"u}deling, Anke and Ritz, Julia and Stede, Manfred},
  title     = {A flexible framework for integrating annotations from different tools and tag sets},
  issn      = {1248-9433},
  year      = {2008},
  abstract  = {We present a general framework for integrating annotations from different tools and tag sets. When annotating corpora at multiple linguistic levels, annotators may use different expert tools for different phenomena or types of annotation. These tools employ different data models and accompanying approaches to visualization, and they produce different output formats. For the purposes of uniformly processing these outputs, we developed a pivot format called PAULA, along with converters to and from tool formats. Different annotations are not only integrated at the level of data format, but are also joined on the level of conceptual representation. For this purpose, we introduce OLiA, an ontology of linguistic annotations that mediates between alternative tag sets that cover the same class of linguistic phenomena. All components are integrated in the linguistic information system ANNIS : Annotation tool output is converted to the pivot format PAULA and read into a database where the data can be visualized, queried, and evaluated across multiple layers. For cross-tag set querying and statistical evaluation, ANNIS uses the ontology of linguistic annotations. Finally, ANNIS is also tied to a machine learning component for semiautomatic annotation.},
  language  = {en}
}
@article{ChiarcosRitzStede2012,
  author    = {Chiarcos, Christian and Ritz, Julia and Stede, Manfred},
  title     = {By all these lovely tokens... Merging conflicting tokenizations},
  series = {Language resources and evaluation},
  volume    = {46},
  journal   = {Language resources and evaluation},
  number    = {1},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1574-020X},
  doi       = {10.1007/s10579-011-9161-0},
  pages     = {53 -- 74},
  year      = {2012},
  abstract  = {Given the contemporary trend to modular NLP architectures and multiple annotation frameworks, the existence of concurrent tokenizations of the same text represents a pervasive problem in everyday's NLP practice and poses a non-trivial theoretical problem to the integration of linguistic annotations and their interpretability in general. This paper describes a solution for integrating different tokenizations using a standoff XML format, and discusses the consequences from a corpus-linguistic perspective.},
  language  = {en}
}
@article{ChiarcosFiedlerGrubicetal.2011,
  author    = {Chiarcos, Christian and Fiedler, Ines and Grubic, Mira and Hartmann, Katharina and Ritz, Julia and Schwarz, Anne and Zeldes, Amir and Zimmermann, Malte},
  title     = {Information structure in African languages corpora and tools},
  series = {Language resources and evaluation},
  volume    = {45},
  journal   = {Language resources and evaluation},
  number    = {3},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1574-020X},
  doi       = {10.1007/s10579-011-9153-0},
  pages     = {361 -- 374},
  year      = {2011},
  abstract  = {In this paper, we describe tools and resources for the study of African languages developed at the Collaborative Research Centre 632 "Information Structure". These include deeply annotated data collections of 25 sub-Saharan languages that are described together with their annotation scheme, as well as the corpus tool ANNIS, which provides unified access to a broad variety of annotations created with a range of different tools. With the application of ANNIS to several African data collections, we illustrate its suitability for the purpose of language documentation, distributed access, and the creation of data archives.},
  language  = {en}
}
@article{LuedelingRitzStedeetal.2016,
  author    = {L{\"u}deling, Anke and Ritz, Julia and Stede, Manfred and Zeldes, Amir},
  title     = {Corpus Linguistics and Information Structure Research},
  series = {The Oxford handbook of information structure},
  journal   = {The Oxford handbook of information structure},
  publisher = {Oxford University Press},
  address   = {Oxford},
  isbn      = {978-0-19-964267-0},
  pages     = {599 -- 617},
  year      = {2016},
  language  = {en}
}