Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
—In this paper, we propose a quasi-static scheduling (QSS) method applicable to actor-oriented SystemC designs. QSS determines a schedule where several static schedules are combi...
Recent years have seen increasing interest in automatic metrics for the evaluation of generation systems. When a system can generate syntactic variation, automatic evaluation becom...
We present a practical co-training method for bootstrapping statistical parsers using a small amount of manually parsed training material and a much larger pool of raw sentences. ...
Mark Steedman, Anoop Sarkar, Miles Osborne, Rebecc...