We have found a method to automatically extract the meaning of words and phrases from the world-wide-web using Google page counts. The approach is novel in its unrestricted proble...
Finding definitions in huge text collections is a challenging problem, not only because of the many ways in which definitions can be conveyed in natural language texts but also be...
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
We introduce the particular functionality of the Complaint Engine suite, the integrated complaint management component for mediating consumer disputes. We formulate the problem of...
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...