Sequence Learning

Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP prob- lems. In this paper we extend the CW ap- proach for sequence …...

AbstractDetermining the intended sense of words in text – word sense disambiguation (WSD) – is a long-standing problem in natural language processing. Recently, researchers have shown promising results using word …...

AbstractGenerating answer with natural language sentence is very important in real-world question answering systems, which needs to obtain a right answer as well as a coherent natural response. In this …...

AbstractWord Sense Disambiguation models exist in many flavors. Even though supervised ones tend to perform best in terms of accuracy, they often lose ground to more flexible knowledge-based solutions, which …...