@conference {mud2012,
	title = {Can Text Mining Assistants Help to Improve Requirements Specifications?},
	booktitle = {Mining Unstructured Data (MUD 2012)},
	year = {2012},
	month = {October 17},
	type = {Paper},
	address = {Kingston, Ontario, Canada},
	abstract = {Software requirements specifications are commonly written in natural language, making them prone to a number of defects, such as ambiguity, inconsistency, or lack of readability. Natural Language Processing (NLP) techniques have been proposed as a means to (semi-)automatically improve requirements specifications, but so far have not been widely adopted. We integrated a number of text mining assistants into a wiki-based requirements engineering platform to investigate two key questions: Can software engineers without prior training in NLP effectively leverage these techniques? And are text mining assistants actually helpful in improving the quality of a specification? Results obtained during two software engineering courses demonstrate that both are indeed the case.},
	keywords = {natural language processing, Requirements Engineering, semantic Wiki},
	url = {http://sailhome.cs.queensu.ca/mud/res/sateli-mud2012.pdf},
	attachments = {https://www.semanticsoftware.info/system/files/mud2012-ReqWiki.pdf},
	author = {Bahar Sateli and Elian Angius and Srinivasan Sembakkam Rajivelu and Ren{\'e} Witte}
}
