Summary of the paper

Title Annotating Event Chains for Carbon Sequestration Literature
Authors Heng Ji, Xiang Li, Angelo Lucia and Jianting Zhang
Abstract In this paper we present a project of annotating event chains for an important scientific domain ― carbon sequestration. This domain aims to reduce carbon emissions and has been identified by the U.S. National Academy of Engineering (NAE) as a grand challenge problem for the 21st century. Given a collection of scientific literature, we identify a set of centroid experiments; and then link and order the observations and events centered around these experiments on temporal or causal chains. We describe the fundamental challenges on annotations and our general solutions to address them. We expect that our annotation efforts will produce significant advances in inter-operability through new information extraction techniques and permit scientists to build knowledge that will provide better understanding of important scientific challenges in this domain, share and re-use of diverse data sets and experimental results in a more efficient manner. In addition, the annotations of metadata and ontology for these literature will provide important support for data lifecycle activities.
Topics Corpus (creation, annotation, etc.), Information Extraction, Information Retrieval, Ontologies
Full paper Annotating Event Chains for Carbon Sequestration Literature
Slides -
Bibtex @InProceedings{JI10.802,
  author = {Heng Ji and Xiang Li and Angelo Lucia and Jianting Zhang},
  title = {Annotating Event Chains for Carbon Sequestration Literature},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
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