Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields.

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2020)

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摘要
Many problems in natural language processing (NLP) can be cast as the problem of segmenting a sequence. In this article, we combine the semi-Markov conditional random fields (semi-CRF) with neural networks to solve NLP segmentation problems. We focus on the segment representation in neural semi-CRF which is important to the performance. Based on our preliminary work in Liu et al.[1], we represent ...
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关键词
Encoding,Neural networks,Feature extraction,Natural language processing,Syntactics,Bit error rate,Speech processing
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