This paper reports on a practical implementation of a context mediator for the fixed income securities industry. We describe industry circumstances and the data and calculation se...
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
We propose a method for automatically identifying individual instances of English verb-particle constructions (VPCs) in raw text. Our method employs the RASP parser and analysis of...
Street art and political activism have a rich history of shaping urban landscapes. Our work explores the processes by which public artists and political activists contribute to pu...
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering ...
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Ch...