Summary of the paper

Title Exploring and Navigating: Tools for GermaNet
Authors Marc Finthammer and Irene Cramer
Abstract GermaNet is regarded to be a valuable resource for many German NLP applications, corpus research, and teaching. This demo presents three GUI-based tools meant to facilitate the exploration of and navigation through GermaNet. The GermaNet Explorer exhibits various retrieval, sort, filter and visualization functions for words/synsets and also provides an insight into the modeling of GermaNet’s semantic relations as well as its representation as a graph. The GermaNet-Measure-API and GermaNet Pathfinder offer methods for the calculation of semantic relatedness based on GermaNet as a resource and the visualization of (semantic) paths between words/synsets. The GermaNet-Measure-API furthermore features a flexible interface, which facilitates the integration of all relatedness measures provided into user-defined applications. We have already used the three tools in our research on thematic chaining and thematic indexing, as a tool for the manual annotation of lexical chains, and as a resource in our courses on corpus linguistics and semantics.
Language Single language
Topics Lexicon, lexical database, Tools, systems, applications, Knowledge representation
Full paper Exploring and Navigating: Tools for GermaNet
Slides -
Bibtex @InProceedings{FINTHAMMER08.216,
  author = {Marc Finthammer and Irene Cramer},
  title = {Exploring and Navigating: Tools for GermaNet},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

Powered by ELDA © 2008 ELDA/ELRA