The commonly used improvement ideas mainly include two parts: the improvement of training strategy and the improvement of model structure. This section will introduce and summarize the research status of AE-base
前段时间用过预训练模型ERNIE-1.0 做过一些NLP方面的小实践,并读过对应的论文,在此对行文结构进行梳理,并在最后对ERNIE预训练模型进行总结。 1.Introduction:(1)预训练语言表达模型(Pre-trained language repre…
1.1 Distributed representation of words and entities in human languages 1.1 Motivation 3 briefly review the development history of representation learning for NLP, introduce typical approaches of contemporary representation learning, and summarize existing and potential applications of representation learning. ...
The aim of context- independent representations is to encode properties related to single tokens, discarding the syntactic relations between them. However, a dynamic representation considering the information of the nearby words is the advantage of the context-aware methods. In particular, contextualized...
As shown in Fig. 1.4, let's take the sentence "Shakespeare was an English playwright," for example. With the support of linguistic knowledge, we can capture the subject, and the object from the sentence by parsing the syntactic structure. With the commonsense knowledge of A play is a work...
(2)structure-aware tasks:学习syntactic information Sentences Reordering:一段话被划分成n\in [1,m]句话,将这n句话随机排列之后,让模型还原正确顺序,可以将其建模成k分类问题,其中k=\sum_{n=1}^{m}{n!} Sentences Distance: 被建模成了三分类任务,“0”表示两个句子在同一个document中并且相邻,“1”表...
Representation and Control Strategies for large Knowledge Domains: An Application to NLP - Antonacci, Russo, et al. - 1988F. Antonacci, M.T. Pazienza, M. Russo, P.Velardi, Representation and Control Strategies for large Knowledge Domains : an Application to NLP, Journal of Applied Artificial ...
where ??? is the length of sentence ???, ??? is the length of the window. This can captures both syntactic and semantic information. The shorter the windows, the more syntactic the representation (???∈[1,3]) . The longer the windows, the more semantic the representation (???∈[4,...
where 𝐧 is the length of sentence 𝑰, 𝐦 is the length of the window. This can captures both syntactic and semantic information. The shorter the windows, the more syntactic the representation (𝑚∈[1,3]) . The longer the windows, the more semantic the representation (𝑚∈[4,10...
Syntactic TrDep Checking whether an encoder infers the hierarchical structure of sentence Syntactic ToCo Sentences should be classified in terms of the sequence of top constituents immediately below the sentence node Syntactic BShif Testing whether two consecutive tokens within the sentence have been inver...