@InProceedings{galitsky:2016:COLINGDEMO,
  author    = {Galitsky, Boris},
  title     = {A Tool for Efficient Content Compilation},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {198--202},
  abstract  = {We build a tool to assist in content creation by mining the web for information
	relevant to a given topic. This tool imitates the process of essay writing by
	humans: searching for topics on the web, selecting content frag-ments from the
	found document,  and then compiling these fragments to obtain a coherent text.
	The process of writing starts with automated building of a table of content by
	obtaining the list of key entities for the given topic extracted from web
	resources such as Wikipedia. Once a table of content is formed, each item forms
	a seed for web mining. The tool builds a full-featured structured Word document
	with table of content, section structure, images and captions and web
	references for all mined text fragments.
	    Two linguistic technologies are employed: for relevance verification, we
	use similarity computed as a tree similarity between parse trees for a seed and
	candidate text fragment. For text coherence, we use a measure of agreement
	between a given and consecutive paragraph by tree kernel learning of their
	discourse trees.
	The tool is available at http://animatronica.io/submit.html.},
  url       = {http://aclweb.org/anthology/C16-2042}
}