Summary of the paper

Title Experiments in Human-computer Cooperation for the Semantic Annotation of Portuguese Corpora
Authors Diana Santos and Cristina Mota
Abstract In this paper, we present a system to aid human annotation of semanticinformation in the scope of the project AC/DC, called corte-e-costura. Thissystem leverages on the human annotation effort, by providing the annotatorwith a simple system that applies rules incrementally. Our goal was twofold:first, to develop an easy-to-use system that required a minimum of learningfrom the part of the linguist; second, one that provided a straightforward wayof checking the results obtained, in order to immediately evaluate the resultsof the rules devised. After explaining the motivation for its development fromscratch, we present the current status of the AC/DC project and provide aquantitative description of its material in what concerns semantic annotation.We then present the corte-e-costura system in detail, providing the result ofour first experiments with the semantic fields of colour and clothing. We endthe paper with some discussion of future work as well as of the experiencegained.
Language LR national/international projects, organizational/policy issues
Topics Corpus (creation, annotation, etc.), Semantics, LR national/international projects, organizational/policy issues
Full paper Experiments in Human-computer Cooperation for the Semantic Annotation of Portuguese Corpora
Bibtex @InProceedings{SANTOS10.457,
  author = {Diana Santos and Cristina Mota},
  title = {Experiments in Human-computer Cooperation for the Semantic Annotation of Portuguese Corpora},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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