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» A Formal Framework for Linguistic Annotation
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COLING
2010
14 years 4 months ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
107
Voted
ACL
2012
13 years 2 days ago
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons
Extracting sentiment and topic lexicons is important for opinion mining. Previous works have showed that supervised learning methods are superior for this task. However, the perfo...
Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, ...
LREC
2008
155views Education» more  LREC 2008»
14 years 11 months ago
OpenCCG Workbench and Visualization Tool
Combinatorial Category Grammar is (CCG) a lexicalized grammar formalism which is expressed by syntactic category, a logical form representation. There are difficulties in represen...
Thepchai Supnithi, Suchinder Singh, Taneth Ruangra...
DOCENG
2009
ACM
15 years 4 months ago
Annotations with EARMARK for arbitrary, overlapping and out-of order markup
In this paper we propose a novel approach to markup, called Extreme Annotational RDF Markup (EARMARK), using RDF and OWL to annotate features in text content that cannot be mapped...
Silvio Peroni, Fabio Vitali
ECOOP
2007
Springer
15 years 1 months ago
Tracking Linear and Affine Resources with Java(X)
Java(X) is a framework for type refinement. It extends Java's type language with annotations drawn from an algebra X and structural subtyping in terms of the annotations. Each...
Markus Degen, Peter Thiemann, Stefan Wehr