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CICLING
2006
Springer
13 years 11 months ago
Abbreviation Recognition with MaxEnt Model
Abbreviated words carry critical information in the literature of many special domains. This paper reports our research in recognizing dotted abbreviations with MaxEnt model. The k...
Chunyu Kit, Xiaoyue Liu, Jonathan J. Webster
CICLING
2010
Springer
13 years 10 months ago
Identification of Translationese: A Machine Learning Approach
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Iustina Ilisei, Diana Inkpen, Gloria Corpas Pastor...
CICLING
2010
Springer
13 years 10 months ago
A General Bio-inspired Method to Improve the Short-Text Clustering Task
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...
Diego Ingaramo, Marcelo Errecalde, Paolo Rosso
EACL
2006
ACL Anthology
13 years 8 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
TAL
2010
Springer
13 years 5 months ago
Robust Semi-supervised and Ensemble-Based Methods in Word Sense Disambiguation
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
Anders Søgaard, Anders Johannsen