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MBT: A Memory-Based Part of Speech Tagger-Generator
We introduce a memory-based approach to part of speech tagging. Memory-based learning is a form of supervised learning based on similarity-based reasoning. The part of speech tag of a word in aExpand
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Predicting age and gender in online social networks
A common characteristic of communication on online social networks is that it happens via short messages, often using non-standard language variations. These characteristics make this type of text aExpand
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Overview of the 3rd Author Profiling Task at PAN 2015
We overview the framework and the results for the Author Profiling Shared Task organised at PAN 2015. This year’s task aims at identifying age, gender, and personality traits of Twitter users. WithExpand
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Forgetting Exceptions is Harmful in Language Learning
We show that in language learning, contrary to received wisdom, keeping exceptional training instances in memory can be beneficial for generalization accuracy. We investigate this phenomenonExpand
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GAMBL, genetic algorithm optimization of memory-based WSD
GAMBL is a word expert approach to WSD in which each word expert is trained using memory based learning. Joint feature selection and algorithm parameter optimization are achieved with a geneticExpand
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Improving Accuracy in Word Class Tagging through the Combination of Machine Learning Systems
We examine how differences in language models, learned by different data-driven systems performing the same NLP task, can be exploited to yield a higher accuracy than the best individual system. WeExpand
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Improving Data Driven Wordclass Tagging by System Combination
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the best individualExpand
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