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» Language Dynamics and Capitalization using Maximum Entropy
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RSP
2009
IEEE
149views Control Systems» more  RSP 2009»
14 years 2 months ago
Rapid-Prototyping of Adaptive Component-Based Systems Using Runtime Aspectual Interactions
Aspect-oriented mechanisms have been widely exploited at the programming-level. Nevertheless, little has been achieved at the architectural level, and this despite the potential b...
Nasreddine Aoumeur, Kamel Barkaoui, Gunter Saake
IJCNLP
2005
Springer
14 years 1 months ago
Two-Phase Biomedical Named Entity Recognition Using A Hybrid Method
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
Seonho Kim, Juntae Yoon, Kyung-Mi Park, Hae-Chang ...
ANLP
2000
97views more  ANLP 2000»
13 years 9 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
ACL
2009
13 years 5 months ago
Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution
This paper presents a predicate-argument structure analysis that simultaneously conducts zero-anaphora resolution. By adding noun phrases as candidate arguments that are not only ...
Kenji Imamura, Kuniko Saito, Tomoko Izumi
ICPR
2010
IEEE
13 years 11 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha