This paper presents a system for the automatic detection of agreements in multi-party conversations. We investigate various types of features that are useful for identifying agree...
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Performance on an information gathering task is shown to be superior in teleconference. Analysis of errors in an exercise revealed the data sources used in co-located and teleconf...
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for ontology learning from Web documents. The first algorithm auto...
Daniele Bagni, Marco Cappella, Maria Teresa Pazien...