Due to the rapidly increasing amount of textual data available and the range of interesting and important problems arising in text analysis, there has been growing interest in applying machine learning methods to text. There has also been significant recent interest in research that combines supervised and unsupervised learning. This research is especially relevant to text learning because the inherent complexity of natural language usually requires models with many parameters: estimating those parameters requires a lot of data, and obtaining labeled data is difficult and expensive. By combining unsupervised learning with supervised learning, the need for labeled training data can often be greatly reduced, allowing for the development of more powerful models and methods.
The workshop will explore machine learning methods for solving supervised text learning tasks that exploit training methods beyond straightforward supervised learning.
Relevant topics include:
The last several years have seen many disparate innovations in the intersection between text learning and the combination of supervised and unsupervised learning. The goal of this workshop is to bring together researchers from the machine learning, information retrieval, computational linguistics and language modeling to talk about their different perspectives on this intersection and to share their latest ideas.
Tommi Jaakkola Assistant Professor Department of Computer Science Massachusetts Institute of Technology
|Friday||Mar 23 2001||Paper submissions due||Friday||Apr 06 2001||Acceptance notification||Friday||Apr 20 2001||Camera ready papers due|
Formatting instructions can be found here.
Andrew McCallum WhizBang Labs - Research, 4616 Henry Street, Pittsburgh, PA 15218 T: 412-683-9132 F: 412-683-4436 firstname.lastname@example.org http://www.cs.cmu.edu/~mccallum Kamal Nigam School of Computer Science, Carnegie Mellon, Pittsburgh, PA 15213 T: 412-268-3070 F: 412-268-5576 email@example.com http://www.cs.cmu.edu/~knigam Tony Jebara MIT, Media Laboratory - 20 Ames Street, E15-390, Cambridge, MA 02138 T: 617-253-0326 F: 617-253-8874 firstname.lastname@example.org http://www.media.mit.edu/~jebara Lillian Lee Department of Computer Science, Cornell University, Ithaca, NY 14853 T: 607-255-8119 F: 607-255-4428 email@example.com http://www.cs.cornell.edu/home/llee