The accessible specification of performance queries is a key challenge in performance analysis. To this end, we seek to combine the intuitive aspects of natural language query spec...
Lei Wang 0002, Nicholas J. Dingle, William J. Knot...
This work evaluates a system that uses interpolated predictions of reading difficulty that are based on both vocabulary and grammatical features. The combined approach is compared...
Michael Heilman, Kevyn Collins-Thompson, Jamie Cal...
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
Reality-based interfaces (RBIs) offer the promise of natural interfaces that are intuitive to use. By allowing users to leverage their innate skills and knowledge about the real-p...