Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based ...
Lucian Vlad Lita, Abraham Ittycheriah, Salim Rouko...
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
We place synchronous tree-adjoining grammars and tree transducers in the single overarching framework of bimorphisms, continuing the unification of synchronous grammars and tree t...
The AutoModTM simulation system differs significantly from other systems because of its ability to deal with the physical elements of a system in physical (graphical) terms and th...
Identifying discourse relations in a text is essential for various tasks in Natural Language Processing, such as automatic text summarization, question-answering, and dialogue gene...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...