依存句法解析《Structured Training for Neural Network Transition-Based Parsing》 Motivation: 基于转移的依存句法分析方法在保证分析效率的同时也能达到满意的准确率。和人工构造特征的方法相比,陈丹琪等人(Chen)使用神经网络和贪心算法构造了基于转移的依存句法解析器。其效果虽优于人工方法但仍
transition-based parsingEnglishIndonesianVietnameseThis paper introduces an effective method for improving dependency parsing which is based on a graph embedding model. The model helps extract local and global connectivity patterns between tokens. This method allows neural network models to perform better ...
We present structured perceptron training for neural network transition-based dependency parsing. We learn the neural network representation using a gold corpus augmented by a large number of automatically parsed sentences. Given this fixed network representation, we learn a final layer using the ...
接下来解释什么叫transition-based。依旧是论文的例子。图: parser有以下几项: 一个stackS,root第一个入栈,栈顶靠右,图中栈顶是词good。 一个bufferB,第一个元素是在最左边,按照句子的顺序开始。 一个放dependency边的集合A。 transition的集合 在本文中,有如下几种transition: LEFT-ARC(l): 往A中增加一条s1...
主要介绍了两中命名实体识别的模型,第一种是老生常谈的bi-LSTM-CRF模型,这个在论文的实践领域中,已经有很多改进的方法,比如添加字符级别的嵌入,加入attention机制等等,第二种是一个目前我还未读到的一个模型,Transition-Based Chunking Model,它使用类似于基于过渡的依赖解析(transition-based dependency parsing)的算...
Dependency Parsing 主要有两种方法:Transition-based和 Graph-based。 DeepBiaffine Attentionfor NeuralDependency Parsing 基于图的依存句法分析从左向右解析句子,针对句中的每个词,找该词的head词(该词到head词之间的arc)以及从该词到head词之间的依存关系类型,即需要解决两个问题:哪两个节点连依存弧以及弧的标签是...
论文地址:https://cs.stanford.edu/~danqi/papers/emnlp2014.pdf 论文名称:一种使用神经网络(三层)的精准快速的依存句法分析 特征提取是基于Transition-based Dependency Parsing 基于转移的依存句法分析,从而可以有效精简特征数量 例如: 词特征18个: 1、栈区和缓存区分别提取前三个词 合计6个特征 2、栈... 查看...
(1) Transition-Based:定义actions,在当前state,选择不同的action进入不同的下一个state (2) Graph-Based: 关键是score function 构建树的过程中有三种解码算法: (1) dynamic programming {Three new probabilistic models for dependency parsing: An exploration} ...
Dyer, N.A. Smith, Improved Transition-based Parsing by Modeling Characters Instead of Words with LSTMs. Available from: <1508.00657>. Google Scholar [44] A. Graves, S. Fernández, J. Schmidhuber Bidirectional LSTM networks for improved phoneme classification and recognition International Conference ...
Dyer C, Ballesteros M, Ling W, Matthews A, Smith NA (2015) Transition-based dependency parsing with stack long short-term memory. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing, ...