In this paper, a new explanatory and high-level approach to knowledge discovery from texts is described which uses natural language techniques and and evolutionary computation based optimization to find novel patterns in textual information. In addition, some results showing the promise of the approach towards effective text mining when compared to human performance are briefly discussed.
|Number of pages||11|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|State||Published - 2004|
|Event||9th Ibero-American Conference on AI: Advances in Artificial Intelligence- IBERAMIA 2004 - Puebla, Mexico|
Duration: 22 Nov 2004 → 26 Nov 2004