Richard Evans

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This paper presents the MESSAGE/UML agent oriented software engineering methodology and illustrates it on an analysis case study. The methodology covers MAS analysis and design and is intended for use in mainstream software engineering departments. MESSAGE integrates into a coherent AOSE methodology some basic agent related concepts such as organisation,(More)
This paper describes a new, advanced and completely revamped version of Mitkov's knowledge-poor approach to pronoun resolution [21]. In contrast to most anaphora resolution approaches, the new system, referred to as MARS, operates in fully automatic mode. It bene ts from purpose-built programs for identifying occurrences of nonnominal anaphora (including(More)
The paper summarises the work of the Research Group in Computational Linguistics at the University of Wolverhampton towards the production of much needed annotated resources for evaluation and training of anaphora resolution systems. In particular, it describes the annotating tools developed to support the annotation, the corpora annotated and the(More)
In anaphora resolution for English, animacy identification can play an integral role in the application of agreement restrictions between pronouns and candidates, and as a result, can improve the accuracy of anaphora resolution systems. In this paper, two methods for animacy identification are proposed and evaluated using intrinsic and extrinsic measures.(More)
This paper describes a study of the impact of coreference resolution on NLP applications. Further to our previous study [1], in which we investigated whether anaphora resolution could be beneficial to NLP applications, we now seek to establish whether a different, but related task — that of coreference resolution, could improve the performance of three NLP(More)
The ability of many animals to recognize kin has allowed them to evolve diverse cooperative behaviours; such ability is less well studied for plants. Many plants, including Artemisia tridentata, have been found to respond to volatile cues emitted by experimentally wounded neighbours to increase levels of resistance to herbivory. We report that this(More)
The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MARS-a program for automatic resolution of pronominal anaphors and describes an experiment which we have conducted to optimise the success rate of MARS with the help of a genetic algorithm.(More)