@InProceedings{akbik-EtAl:2016:COLINGDEMO,
  author    = {Akbik, Alan  and  chiticariu, laura  and  Danilevsky, Marina  and  Kbrom, Yonas  and  Li, Yunyao  and  Zhu, Huaiyu},
  title     = {Multilingual Information Extraction with PolyglotIE},
  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     = {268--272},
  abstract  = {We present PolyglotIE, a web-based tool for developing extractors that perform
	Information Extraction (IE) over multilingual data. Our tool has two core
	features: First, it allows users to develop extractors against a unified
	abstraction that is shared across a large set of natural languages. This means
	that an extractor needs only be created once for one language, but will then
	run on multilingual data without any additional effort or language-specific
	knowledge on part of the user. Second, it embeds this abstraction as a set of
	views within a declarative IE system, allowing users to quickly create
	extractors using a mature IE query language. We present PolyglotIE as a
	hands-on demo in which users can experiment with creating extractors, execute
	them on multilingual text and inspect extraction results. Using the UI, we
	discuss the challenges and potential of using unified, crosslingual semantic
	abstractions as basis for downstream applications. We demonstrate multilingual
	IE for 9 languages from 4 different language groups: English, German, French,
	Spanish, Japanese, Chinese, Arabic, Russian and Hindi.},
  url       = {http://aclweb.org/anthology/C16-2056}
}