Gleb Skobeltsyn
Gleb Skobeltsyn got his PhD from EPFL, Switzerland in Jan.2009.
His research interests include: information retrieval, large-scale systems, Web search engine architectures, caching techniques, social networks, etc.
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Contextual prediction models for speech recognition
Yoni Halpern
Keith Hall
Vlad Schogol
Martin Baeuml
Proceedings of Interspeech 2016
Preview abstract
We introduce an approach to biasing language models towards
known contexts without requiring separate language models or
explicit contextually-dependent conditioning contexts. We do
so by presenting an alternative ASR objective, where we predict
the acoustics and words given the contextual cue, such as
the geographic location of the speaker. A simple factoring of the
model results in an additional biasing term, which effectively
indicates how correlated a hypothesis is with the contextual cue
(e.g., given the hypothesized transcript, how likely is the user’s
known location). We demonstrate that this factorization allows
us to train relatively small contextual models which are effective
in speech recognition. An experimental analysis shows both a
perplexity reduction and a significant word error rate reductions
on a voice search task when using the user’s location as a contextual
cue.
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Entity Search with NECESSITY
Ekaterini Ioannou
Saket Sathe
Nicolas Bonvin
Anshul Jain
Srikanth Bondalapati
Claudia Niederée
Zoltán Miklós
WebDB (2009)
Query-driven indexing for scalable peer-to-peer text retrieval
Toan Luu
Ivana Podnar Zarko
Martin Rajman
Karl Aberer
Future Generation Comp. Syst., vol. 25 (2009), pp. 89-99
Workshop on large-scale distributed systems for information retrieval
ResIn: a combination of results caching and index pruning for high-performance web search engines
Flavio Junqueira
Vassilis Plachouras
Ricardo A. Baeza-Yates
SIGIR (2008), pp. 131-138
From Web 1.0 to Web 2.0 and back -: how did your grandma use to tag?
Sheila Kinsella
Adriana Budura
Sebastian Michel
John G. Breslin
Karl Aberer
WIDM (2008), pp. 79-86
AlvisP2P: scalable peer-to-peer text retrieval in a structured P2P network
Toan Luu
Fabius Klemm
Maroje Puh
Ivana Podnar Zarko
Martin Rajman
Karl Aberer
PVLDB, vol. 1 (2008), pp. 1424-1427
Query-driven indexing for peer-to-peer text retrieval
Query-driven indexing for scalable peer-to-peer text retrieval
Web text retrieval with a P2P query-driven index
Efficient Processing of XPath Queries with Structured Overlay Networks
