@inproceedings{28b82508b2e44303b387427fae5e8212,
title = "FrameNet CNL: A knowledge representation and information extraction language",
abstract = "The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and represents the extracted knowledge in a tailor-made Frame-ontology from which unambiguous FrameNet-CNL paraphrase text can be generated automatically in multiple languages. This approach brings together the fields of information extraction and CNL, because a source text can be considered belonging to FrameNet-CNL, if information extraction parser produces the correct knowledge representation as a result. We describe a state-of-the-art information extraction parser used by a national news agency and speculate that FrameNet-CNL eventually could shape the natural language subset used for writing the newswire articles.",
keywords = "FrameNet, information extraction, knowledge representation",
author = "Guntis Barzdins",
year = "2014",
doi = "10.1007/978-3-319-10223-8\_9",
language = "English",
isbn = "9783319102221",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "90--101",
booktitle = "Controlled Natural Language - 4th International Workshop, CNL 2014, Proceedings",
address = "Germany",
note = "4th International Workshop on Controlled Natural Language, CNL 2014 ; Conference date: 20-08-2014 Through 22-08-2014",
}