In this paper, we apply a bidirectional Long Short-Term Memory with a Conditional Random Field to the task of disfluency detection. Long-range dependencies is one of the core problems for disfluency detection. Our model handles long-range dependencies by both using the Long Short-Term Memory and hand-crafted discrete features. Experiments show that utilizing the hand-crafted discrete features s...

Adaptive traffic signal control, which adjusts traffic signal timing according to real-time traffic, has been shown to be an effective method to reduce traffic congestion. Available works on adaptive traffic signal control make responsive traffic signal control decisions based on human-crafted features (e.g. vehicle queue length). However, human-crafted features are abstractions of raw traffic ...

We propose a novel tree classification system called Treelogy, that fuses deep representations with hand-crafted features obtained from leaf images to perform leaf-based plant classification. Key to this system are segmentation of the leaf from an untextured background, using convolutional neural networks (CNNs) for learning deep representations, extracting hand-crafted features with a number o...

We use hand-crafted simulated negotiators (SNs) to train and evaluate dialogue policies for two-issue negotiation between two agents. These SNs differ in their goals and in the use of strong and weak arguments to persuade their counterparts. They may also make irrational moves, i.e., moves not consistent with their goals, to generate a variety of negotiation patterns. Different versions of thes...

Abstract. Historical images provide a valuable source of information exploited by several kinds applications, such as the monitoring cities and territories, reconstruction destroyed buildings, are increasingly being shared for cultural promotion projects through virtual reality or augmented applications. Finding reliable accurate matches between historical present is fundamental step tasks sinc...