KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Natural Language Engineering
Connecting wikis and natural language processing systems
Proceedings of the 2007 international symposium on Wikis
Have a say over what you see: evaluating interactive compression techniques
Proceedings of the 14th international conference on Intelligent user interfaces
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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We present Wikulu, a system focusing on supporting wiki users with their everyday tasks by means of an intelligent interface. Wikulu is implemented as an extensible architecture which transparently integrates natural language processing (NLP) techniques with wikis. It is designed to be deployed with any wiki platform, and the current prototype integrates a wide range of NLP algorithms such as keyphrase extraction, link discovery, text segmentation, summarization, or text similarity. Additionally, we show how Wikulu can be applied for visually analyzing the results of NLP algorithms, educational purposes, and enabling semantic wikis.