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Kernel-based learning (e.g., Support Vec- tor Machines) has been successfully ap- plied to many hard problems in Natural Language Processing (NLP). In NLP, al- though feature combinations are crucial to …...

We address corpus building situations, where complete annotations to the whole corpus is time consuming and unrealistic. Thus, annotation is done only on crucial part of sentences, or contains unresolved …...

This study presents a long short-term memory (LSTM) neural network approach to Japanese word segmentation (JWS). Previous studies on Chinese word segmentation have succeeded in using recurrent neural networks such …...