Challenges in the interaction of information retrieval and natural language processing

Abstract

In this paper we explore the challenges to effectively use natural language processing (NLP) for information retrieval. First, we briefly cover current NLP uses and research areas in the intersection of both fields, namely summarization, information extraction, and question answering. Second, we motivate other possible challenging uses of NLP for information retrieval such as determining context, semantic search, and supporting the Semantic Web. We end with a particular use of NLP for a new problem, searching the future, that poses additional NLP challenges. © Springer-Verlag 2004.