BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
explor (3)
extract (2)
find (2)
question (2)
answer (2)

Stem nugget$ (all stems)

12 papers:

FSEFSE-2014-ManiSSD #maintenance
Panning requirement nuggets in stream of software maintenance tickets (SM, KS, VSS, PTD), pp. 678–688.
SIGIRSIGIR-2013-Ekstrand-AbuegPA #automation
Live nuggets extractor: a semi-automated system for text extraction and test collection creation (MEA, VP, JAA), pp. 1087–1088.
SIGIRSIGIR-2013-Ekstrand-AbuegPKSYI #automation #evaluation
Exploring semi-automatic nugget extraction for Japanese one click access evaluation (MEA, VP, MPK, TS, TY, MI), pp. 749–752.
ITiCSEITiCSE-2012-Levitin #algorithm
Digging for algorithmic nuggets in the land of polyominoes (AL), pp. 52–56.
CIKMCIKM-2012-HuHXLUZ #analysis #mining
Finding nuggets in IP portfolios: core patent mining through textual temporal analysis (PH, MH, PX, WL, AKU, XZ), pp. 1819–1823.
SIGIRSIGIR-2012-CastelliRFHLR #corpus
Distilling and exploring nuggets from a corpus (VC, HR, RF, DJH, XL, SR), p. 1006.
CIKMCIKM-2011-RajputPGA #paradigm
A nugget-based test collection construction paradigm (SR, VP, PBG, JAA), pp. 1945–1948.
CIKMCIKM-2007-YangRW #query #visual notation
Nugget discovery in visual exploration environments by query consolidation (DY, EAR, MOW), pp. 603–612.
Interesting nuggets and their impact on definitional question answering (KWK, TSC), pp. 335–342.
SIGIRSIGIR-2007-LinZ #evaluation #reliability
Deconstructing nuggets: the stability and reliability of complex question answering evaluation (JJL, PZ), pp. 327–334.
KDDKDD-1999-DorreGS #mining
Text Mining: Finding Nuggets in Mountains of Textual Data (JD, PG, RS), pp. 398–401.
KDDAKDDM-1996-Holsheimer #parallel
Data Surveyor: Searching the Nuggets in Parallel (MH), pp. 447–467.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.