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» Probabilistic model for contextual retrieval
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SIGIR
2009
ACM
14 years 2 months ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
SIGIR
2012
ACM
11 years 10 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
PRL
2008
142views more  PRL 2008»
13 years 7 months ago
Highly accurate error-driven method for noun phrase detection
We present a new model for detection of noun phrases in unrestricted text, whose most outstanding feature is its flexibility: the system is able to recognize noun phrases similar ...
Lourdes Araujo, Jose Ignacio Serrano
TSD
2007
Springer
14 years 1 months ago
Accurate Unlexicalized Parsing for Modern Hebrew
Many state-of-the-art statistical parsers for English can be viewed as Probabilistic Context-Free Grammars (PCFGs) acquired from treebanks consisting of phrase-structure trees enri...
Reut Tsarfaty, Khalil Sima'an
TSE
2002
99views more  TSE 2002»
13 years 7 months ago
Recovering Traceability Links between Code and Documentation
Software system documentation is almost always expressed informally in natural language and free text. Examples include requirement specifications, design documents, manual pages, ...
Giuliano Antoniol, Gerardo Canfora, Gerardo Casazz...