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CLEF
2007
Springer
15 years 8 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
137
Voted
EMNLP
2009
15 years 4 days ago
Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
Current methods of using lexical features in machine translation have difficulty in scaling up to realistic MT tasks due to a prohibitively large number of parameters involved. In...
Libin Shen, Jinxi Xu, Bing Zhang, Spyros Matsoukas...
115
Voted
SIGIR
2009
ACM
15 years 8 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
NDQA
2003
123views Education» more  NDQA 2003»
15 years 3 months ago
HITIQA: A Data Driven Approach to Interactive Question Answering: A Preliminary Report
HITIQA is an interactive question answering technology designed to allow intelligence analysts and other users of information systems to pose questions in natural language and obt...
Sharon Small, Nobuyuki Shimizu, Tomek Strzalkowski...
NLDB
2007
Springer
15 years 8 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher