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Comparing the Performance of Different NLP Toolkits in Formal and Social Media Text
2016
Symposium on Languages, Applications and Technologies
Nowadays, there are many toolkits available for performing common natural language processing tasks, which enable the development of more powerful applications without having to start from scratch. In fact, for English, there is no need to develop tools such as tokenizers, partof-speech (POS) taggers, chunkers or named entity recognizers (NER). The current challenge is to select which one to use, out of the range of available tools. This choice may depend on several aspects, including the kind
doi:10.4230/oasics.slate.2016.3
dblp:conf/slate/PintoOA16
fatcat:mn2pco57ubc5hop2dsasvz3rai