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145
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SIGIR
2004
ACM
15 years 9 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
LREC
2010
143views Education» more  LREC 2010»
15 years 5 months ago
Learning Morphology of Romance, Germanic and Slavic Languages with the Tool Linguistica
In this paper we present preliminary work conducted on semi-automatic induction of inflectional paradigms from non annotated corpora using the open-source tool Linguistica (Goldsm...
Helena Blancafort
132
Voted
LREC
2008
155views Education» more  LREC 2008»
15 years 5 months ago
L-ISA: Learning Domain Specific Isa-Relations from the Web
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
Alessandra Potrich, Emanuele Pianta
137
Voted
ACL
2011
14 years 7 months ago
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
We analyze collective discourse, a collective human behavior in content generation, and show that it exhibits diversity, a property of general collective systems. Using extensive ...
Vahed Qazvinian, Dragomir R. Radev
104
Voted
NPC
2007
Springer
15 years 10 months ago
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques
Parallelism is one of the main sources for performance improvement in modern computing environment, but the efficient exploitation of the available parallelism depends on a number ...
Shun Long, Grigori Fursin, Björn Franke