2016 · 24 citations · 10 references
ComputingComputer ScienceComputational LinguisticsMachine LearningNatural Language ProcessingLanguage ModelingPattern RecognitionSpeech RecognitionText Similarity AnalysisWord RecognitionComplex Word IdentificationWord ClassificationWord Pattern Recognition
This paper presents the description of a system which detects complex words. It solely uses information regarding the presence of a word in a prepared vocabulary list. The system outperforms multiple more advanced systems and is ranked fourth for the shared task, with minimal loss to the best system. F-score optimization guaranteed the first place in this measurement. Different features are considered and evaluated. Maximal bounds are predicted. The rule "the simplest methods give the best results" is confirmed.
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Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text
SemEval 2016 Task 11: Complex Word Identification
Gustavo Henrique Paetzold, Lucia Specia · 2016 · 158 citations · Full text