We describe an algorithm for generating multimodal referring expressions, based on empirical data. The main novelties are (1) a decision to point based on both the efficiency of p...
This paper presents a method that assists in maintaining a rule-based named-entity recognition and classification system. The underlying idea is to use a separate system, construc...
Georgios Petasis, Frantz Vichot, Francis Wolinski,...
The STOP system, which generates personalised smoking-cessation letters, was evaluated by a randomised controlled clinical trial. We believe this is the largest and perhaps most r...
Ehud Reiter, Roma Robertson, A. Scott Lennox, Lies...
This paper considers three assumptions conventionally made about signatures in typed feature logic that are in potential disagreement with current practice among grammar developer...
Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced ...
Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequ...
We present a set of algorithms that enable us to translate natural language sentences by exploiting both a translation memory and a statistical-based translation model. Our result...
In this paper we discuss our approach toward establishing a model of the acquisition of English grammatical structures by users of our English language tutoring system, which has ...
Multi-processor systems are becoming more commonplace and affordable. Based on analyses of actual parsings, we argue that to exploit the capabilities of such machines, unification...