We present a trainable model for identifying sentence boundaries in raw text. Given a corpus annotated with sentence boundaries, our model learns to classify each occurrence of., ...
We present a system that lets a designer directly annotate a 3D model with strokes, imparting a personal aesthetic to the non-photorealistic rendering of the object. The artist ch...
Robert D. Kalnins, Lee Markosian, Barbara J. Meier...
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
We generalize the task of finding question paraphrases in a question repository to a novel formulation in which known questions are ranked based on their utility to a new, referen...
This paper presents a novel cycle-approximate performance estimation technique for automatically generated transaction level models (TLMs) for heterogeneous multicore designs. The...