Dublin City University (DCU) took part in the Web Track (small task) in TREC-9. Our experiments were based on evaluating a number of connectivity analysis algorithms that we hoped...
This paper describes the architecture, operation and results obtained with the Question Answering prototype developed in the Department of Language Processing and Information Syst...
In this paper we describe the LIMSI Spoken Document Retrieval system used in the TREC-9 evaluation. This system combines an adapted version of the LIMSI 1999 Hub-4E transcription ...
Jean-Luc Gauvain, Lori Lamel, Claude Barras, Gille...
In TREC-9, we participated in the English-Chinese Cross-Language Information Retrieval (CLIR) track. Our work involved two aspects: finding good methods for Chinese IR, and findin...
Jianfeng Gao, Jian-Yun Nie, Jian Zhang, Endong Xun...
TREC-9 evaluation experiments at the Justsystem site are described with a focus on "aboutness" based approach in text retrieval. Experiments on the effects of supplement...
This paper describes a question answering system that automatically finds answers to questions in a large collection of documents. The prototype CNLP question answering system was...
Anne Diekema, Xiaoyong Liu, Jiangping Chen, Hudong...
For TREC-9, we focused on effectiveness in the web track. The key techniques we employed were information fusion, entity-based relevance feedback, Wordnet-based query parsing and ...
Abdur Chowdhury, Steven M. Beitzel, Eric C. Jensen...
This report describes the English-Chinese crosslanguage retrieval experiments at Berkeley for TREC-9 Cross-Language Information Retrieval track. We present a simple and effective ...