We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
Krysta Marie Svore, Lucy Vanderwende, Christopher ...
Identifying the regularities underlying speaker decisions to emphasize or de-emphasize an item intonationally has long been the subject of speculation and controversy. This paper ...
Abstract. In this work we present a novel system for autonomous mobile robot navigation. With only an omnidirectional camera as sensor, this system is able to build automatically a...
Automatically extracting temporal information from musical recordings is inarguably one of the most critical subtasks of many music information retrieval systems. In this paper we...
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...