Abstract. Previous work has shown that modeling relationships between articles of a regulation as vertices of a graph network works twice as better than traditional information ret...
This paper describes a document retrieval system called CAIRN that uses a case-based reasoning set using a large lexicon to automatically generate a case index to that document se...
This paper addresses the relations between information retrieval (IR) and AI. It examines document retrieval, summarising its essential features and illustrating the state of its ...
This paper presents four novel techniques for open-vocabulary spoken document retrieval: a method to detect slots that possibly contain a query feature; a method to estimate occurr...
The approach of using passage-level evidence for document retrieval has shown mixed results when it is applied to a variety of test beds with different characteristics. One main r...
Recent efforts on the task of spoken document retrieval (SDR) have made use of speech lattices: speech lattices contain information about alternative speech transcription hypothes...
Tee Kiah Chia, Khe Chai Sim, Haizhou Li, Hwee Tou ...
In contrast to traditional information retrieval systems, which return ranked lists of documents that users must manually browse through, a question answering system attempts to d...
In this paper we describe an image based document retrieval system which runs on camera enabled mobile devices. "Mobile Retriever" aims to seamlessly link physical and di...
We developed a fully automated Information Retrieval System which uses advanced natural language processing techniques to enhance the effectiveness of traditional key-word based d...
In the following we will describe experiences made when introducing a shared workspace in a German federal ministry to support the cooperative typing of documents. It will be shown...