Enhancing Detection Through Linguistic Indexing and Topic Expansion.

摘要

Natural language processing techniques may hold a tremendous potential for overcoming the inadequacies of purely quantitative methods of text information retrieval. Under the Tipster contracts in phases I through III, GE group has set out to explore this potential through development and evaluation of new text processing techniques. This work resulted in some significant advances and in a better understanding on how NLP may benefit IR. Tipster research has laid a critical groundwork for future work. In this paper we summarize GE work on document detection in Tipster Phase III. Our summarization research is described in a separate paper appearing in this volume.