Sentence examples for term retrieval from inspiring English sources

Results show performance degradation from INV to OOV terms for all the word-based STD systems even though these incorporate some mechanism for OOV term retrieval.

This suggests the difficulty of OOV term retrieval in STD systems no matter the target domain is easy as EPIC data, or difficult as MAVIR data.

Mostly, this insignificant performance gap is due to the OOV term retrieval capability of a phone-based STD system, which is partially absent in the DD Kaldi and DI Kaldi systems (see the OOV rate in Table 12), and the multi-term retrieval capability, which is absent in the DD Kaldi and DI Kaldi systems (see Section Performance analysis of STD systems based on single/multi-word terms).

On the other hand, performance is rather similar for INV and OOV terms (and even better for OOV terms in some cases) for the phone-based STD systems because for these systems INV and OOV are the same from the term retrieval point of view, since they do not use words.

Since all the STD systems have to resort to phone based ASR or some other phone-based approach for OOV term retrieval all the differences between word, and phone-based STD become to a minimum when retrieving OOV terms, and hence many systems obtain equivalent OOV term performance.

An extension of the DAS protocol is presented in this article exemplified by a DASTERM.xml document (term retrieval).

Although the term "retrieval-induced forgetting" was first used in 1994, it was described in an earlier review by Robert A. Bjork in terms of suppressing memories that become active but are not relevant for a given situation.

In conclusion, this filter design may help overcome some of the shortcomings in currently approved optional IVC filters, including long-term retrieval difficulties, tilting, or migration.

Porous features that accommodate bone ingrowth have improved implant fixation in the short term, but long-term retrieval studies have sometimes demonstrated limited, superficial ingrowth into the pore layer of metal implants and aseptic loosening remains a problem for a subset of patients.

There is nothing new in the idea of automated terms retrieval.

The results show the effectiveness of the approach either in terms of dimensionality reduction or in terms retrieval capabilities.