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The effectiveness of stemming algorithms has usually been measured in terms of their effect on retrieval performance with test collections. This however does not provide any insights which might help in stemmer optimisation. This paper describes a method in which stemming performance is assessed against predefine concept groups in samples of words. This(More)
In natural language processing, <i>conflation</i> is the process of merging or lumping together nonidentical words which refer to the same principal concept. This can relate both to words which are entirely different in form (e.g., "group" and "collection"), and to words which share some common root (e.g., "group", "grouping", "subgroups"). In the former(More)
Considering the important part played by abstracts in the traditional information services, the possibility of producing abstracts by computer has not received very much attention. There are perhaps two main reasons for this. First, it appears t h a t the production of well-constructed abstracts is an artificial intelligence problem, and therefore unlikely(More)
Automatic abstracting, typically based on extraction of important sentences from a text, has been treated as a largely separate task from automatic indexing. This paper describes an approach in which the indexing and abstracting tasks are effectively combined. It is applicable to highly structured empirical research papers, whose content can be organised(More)
Our goal is the automatic abstraction of journal articles, initially in the field of crop protection. We build a set of templates against which the original text is compared. The templates are designed so that they match the text at points of high information content, where inferences can be made about which expressions best reflect the content of the(More)