Information Extraction for Open Data

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Empowering Citizens By Automatically Swifting Through Large Amounts of Text

Information Extraction

"Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents. In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP)" from Wikipedia.

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Initiatives


Octroy. Extracting company, amount and reason from the executive proceedings of the governments of the cities of Laval and Montreal. In French.

Montreal City Hall (source: Wikipedia)

Voz y voto. Extracting speaker and speaker mentions and automatically identifying gender for national representatives in the transcriptions of the Argentinian congress. In Spanish.

Palace of the Argentine National Congress (source: Wikipedia)

More to come. Bring your data, your problem or your system under the umbrella of the IE4OpenData project.

Headquarters of the United Nations (source: Wikipedia)

Joining Us

IE4OpenData is hosted as a GitHub organization, so joining is relatively easy. As this project is just starting, the easier way is to contact us by email.

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