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IHI
2012
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12 years 10 days ago
A corpus of clinical narratives annotated with temporal information
Clinical reports often include descriptions of events in the patient’s medical history, as well as explicit or implicit temporal information about these events. We are working t...
Lucian Galescu, Nate Blaylock
CICLING
2012
Springer
12 years 15 days ago
Building Subjectivity Lexicon(s) from Scratch for Essay Data
While there are a number of subjectivity lexicons available for research purposes, none can be used commercially. We describe the process of constructing subjectivity lexicon(s) fo...
Beata Beigman Klebanov, Jill Burstein, Nitin Madna...
CICLING
2012
Springer
12 years 15 days ago
Core-Periphery Organization of Graphemes in Written Sequences: Decreasing Positional Rigidity with Increasing Core Order
The positional rigidity of graphemes (as well as words considered as single units) in written sequences has been analyzed in this paper using complex network methodology. In partic...
Md. Izhar Ashraf, Sitabhra Sinha
FDL
2011
IEEE
12 years 4 months ago
Systemc refinement of abstract adaptive processes for implementation into Dynamically Reconfigurable Hardware
Refinement of AbstractSystemC Refinement of Abstract Adaptive Processes for Implementation into Dynamically Reconfigurable Hardwareg F HerreraF. Herrera E. Villar P.A. Hartmann Sli...
Fernando Herrera, Eugenio Villar, Philipp A. Hartm...
FDL
2011
IEEE
12 years 4 months ago
Integrating system descriptions by clocked guarded actions
—For the description of reactive systems, there is a large number of languages and formalisms, and depending on a particular application or design phase, one of them may be bette...
Jens Brandt, Mike Gemunde, Klaus Schneider, Sandee...
EMNLP
2011
12 years 4 months ago
Discovering Relations between Noun Categories
Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mi...
EMNLP
2011
12 years 4 months ago
Modelling Discourse Relations for Arabic
Amal Al-Saif, Katja Markert
EMNLP
2011
12 years 4 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...