[PDF] Top 20 Neural Word Segmentation Learning for Chinese
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Neural Word Segmentation Learning for Chinese
... is word centered, our proposed scoring model covers all three pro- cessing levels from character, word until sen- ...of word segmentation, the n-gram data sparsity is- sue makes it impractical ... See full document
12
Unsupervised Learning Helps Supervised Neural Word Segmentation
... for Chinese word segmentation, this work makes the first attempt at exploring adding unsupervised segmenta- tion information into neural supervised ...the word score and applying ... See full document
8
Dependency based Gated Recursive Neural Network for Chinese Word Segmentation
... The main limitation of chain structure for se- quence labeling is that long distance dependencies decay inevitably. Though forget gate mechanis- m is added, it is difficult for bi-directional long short term memory ... See full document
6
Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition
... of Chinese word segmentation and name en- tity recognition for machine learning (Xue, 2003; Low et ...for Chinese lan- guage processing, following the current trend of ap- plying ... See full document
6
Feature based Neural Language Model and Chinese Word Segmentation
... on segmentation used much more sophisticated feature templates other than the one introduced ...of-the-art segmentation work is not the main pur- pose of this ...the Chinese word ... See full document
7
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
... vised Chinese word segmentation (CWS) can be roughly classified into discriminative and generative ...date segmentation, while the latter focuses on finding the optimal segmentation of ... See full document
6
Max Margin Tensor Neural Network for Chinese Word Segmentation
... Tensor-based transformation was also used in other neural network models for its ability to cap- ture multiple interactions in data. For example, Socher et al. (2013b) exploited tensor-based func- tion in the task ... See full document
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Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
... for Chinese word segmentation. An LSTM is a recurrent neural network (RNN) which uses a series of gates (input, forget and out- put gate) to control how memory is propagated in the hidden ... See full document
7
Multi Grained Chinese Word Segmentation
... source-language word lattices, obtained by merging the outputs of different ...on word lattices. Recently, Su et al. (2017) propose a word lattice-based neural MT ...produce word ... See full document
12
Word Context Character Embeddings for Chinese Word Segmentation
... Such semi-supervised methods can be divided into two main categories. The first one is boot- strapping, which includes self-training and tri- training. The idea is to generate more training in- stances by automatically ... See full document
7
Improving Word Alignment by Adjusting Chinese Word Segmentation
... current Chinese word alignment tasks often adopt word segmentation systems firstly to identify ...However, word-mismatching problems exist between languages and will degrade the ... See full document
8
An Double Hidden HMM and an CRF for Segmentation Tasks with Pinyin’s Finals
... structural learning algorithms, such as conditional random fields (CRFs) (Lafferty et ...prominent learning algorithm to many sequential labeling ...The Chinese word segmentation can ... See full document
6
Long Short Term Memory Neural Networks for Chinese Word Segmentation
... for Chinese word segmentation are based on supervised learning, whose fea- tures are mostly extracted from a local con- ...for word segmentation. In this paper, we propose a ... See full document
10
Deep Learning for Chinese Word Segmentation and POS Tagging
... Word segmentation has been a long-standing chal- lenge for the Chinese NLP community. It has re- ceived steady attention over the past two decades. Previous studies show that joint solutions usually ... See full document
11
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
... Many neural network models have been explored for ...volutional neural networks (CNNs) have shown its great effectiveness in computer vision tasks (Krizhevsky et ... See full document
10
Neural Regularized Domain Adaptation for Chinese Word Segmentation
... Knowledge Distillation is first proposed to com- press the knowledge of a source model (Bucilu et al., 2006) into a smaller target model. Hinton et al. (2015) developed this approach using a dif- ferent compression ... See full document
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Gated Recursive Neural Network for Chinese Word Segmentation
... We use three popular datasets, PKU, MSRA and CTB6, to evaluate our model on newswire texts. The PKU and MSRA data are provided by the second International Chinese Word Segmentation Bakeoff (Emerson, ... See full document
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Fast and Accurate Neural Word Segmentation for Chinese
... of Chinese word ...current neural models are computationally ...greedy neural word segmenter with balanced word and character embed- ding inputs to alleviate the existing draw- ... See full document
8
Active Learning for Chinese Word Segmentation
... active learning, where only a small scale of instances are actively selected to serve as training data so that the annotation effort can be highly reduced (Settles and Craven, ...active learning has been ... See full document
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