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We show how the recognition performance of a speech recog- nition component in a speech retrieval system affects the retrieval effectiveness. A speech retrieval system facilitates content-based retrieval of speech …...

In this paper, we compare the rela- tive effects of segment order, segmen- tation and segment contiguity on the retrieval performance of a translation memory system. We take a selec- …...

Latent Semantic Indexing (LSI) approach provides a promising solution to overcome the language barrier between queries and documents, but unfortunately the high dimensions of the training matrix is computationally prohibitive …...

Language model information retrieval de- pends on accurate estimation of document models. In this paper, we propose a docu- ment expansion technique to deal with the problem of insufficient sampling …...

AbstractOpen-domain question answering relies on efficient passage retrieval to select candidate contexts, where traditional sparse vector space models, such as TF-IDF or BM25, are the de facto method. In this …...

AbstractQuery translation (QT) serves as a critical factor in successful cross-lingual information retrieval (CLIR). Due to the lack of parallel query samples, neural-based QT models are usually optimized with synthetic …...

AbstractLarge-scale document retrieval systems often utilize two styles of neural network models which live at two different ends of the joint computation vs. accuracy spectrum. The first style is dual …...

AbstractRecent work has shown that dense passage retrieval techniques achieve better ranking accuracy in open-domain question answering compared to sparse retrieval techniques such as BM25, but at the cost of …...

AbstractTo alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR). However, there still remains a large discrepancy between …...