CL Research's question-answering system (DIMAP-QA) for TREC-9 significantly extends its semantic relation triple (logical form) technology in which documents are fully parsed...
There is a reservoir of knowledge in data from the TREC evaluations that analysis of precision and recall leaves untapped. This knowledge leads to better understanding of query ex...
We describe the structure and functioning of an answer-extraction system built from the ground up, in only three person-months, using shallow text-processing techniques. Underlyin...
In TREC-9, we participated in the English-Chinese Cross Language, 10GB Web data ad-hoc retrieval as well as the Question-Answering tracks, all using automatic procedures. All thes...
Kui-Lam Kwok, Laszlo Grunfeld, Norbert Dinstl, M. ...
In this paper, we present a Question Answering system called KUQA (Korea University Question Answering system) developed by using semantic categories and co-occurrence density. Se...
Soo-Min Kim, Dae-Ho Baek, Sang-Beom Kim, Hae-Chang...
This paper presents work done at Cambridge University for the TREC-9 Spoken Document Retrieval (SDR) track. The CUHTK transcriptions from TREC-8 with Word Error Rate (WER) of 20.5...
Sue E. Johnson, P. Jourlin, Karen Sparck Jones, Ph...
We investigated the dictionary-based query translation method combining the translation disambiguation process using statistic cooccurrence information trained from the provided c...