Fan Yang

Fan Yang
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Main area of research
Speech recognition

Fan Yang joined Nuance in 2010.  He has a PhD in computational linguistics from OHSU/OGI.  His research interests include ASR/LM, NLP, and dialogue.

Selected articles

An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition

Word segmentation is usually recognized as the first step for many Chinese natural language processing tasks, yet its impact on these subsequent tasks is relatively under-studied. For example,

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Semi-supervised Chinese word segmentation using partial-label learning with conditional random fields

There is rich knowledge encoded in online web data. For example, punctuation and entity tags in Wikipedia data define some word boundaries in a sentence.

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An empirical study of semi-supervised chinese word segmentation Using co-training

In this paper we report an empirical study on semi-supervised Chinese word segmentation using co-training. We utilize two segmenters:1) a word-based segmenter leveraginga word-level language

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An investigation of interruptions and resumptions in multi-tasking dialogues

In this article we focus on human–human multi-tasking dialogues, in which pairs of conversants, using speech, work on an ongoing task while occasionally completing real-time

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