NLP方向英语论文常用字词句精选

亦凉 2022-10-06 05:49 138阅读 0赞

# 总结 #

*  文章来源：CSDN\_LawsonAbs
 *  望各位读者审慎阅读。
 *  虽每天都在读论文，看英语。但是本文已停更，后期做一个自己的综合吧

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英语写作在论文表述中占据非常重要的位置。我的表达时常词不达意，漏洞百出，故总结出平常读论文中见到的一些字词句，也将其分享出来供大家写论文时参考一二。

# day 1. 20210611 #

*  Despite the recent progress, little is known about the… （这句话理解有点儿别扭，但是正确的。译：关于…仍然知之甚少）
 *  Common methods … （常用的方法…）
 *  the complexity of the task makes it difficult to…
 *  We find that the bias induced by the…
 *  adding contextualized word representations greatly increases performance … （修饰搭配）
 *  yield better results in … （yields）
 *  In contrast, xxx improves xxx, but considerably lowers performance on … (lower)
 *  is one of the largest, most widely used crowdsourced datasets in … (one of 句型)
 *  even with recent advances in … （even with）
 *  models still show a high error rate …
 *  reached a performance ceiling or is there still room for improvement … (ceiling/room 对比)
 *  To answer these questions
 *  the most challenging 5K examples in the development and test sets …
 *  more than 50% of the examples …
 *  are responsible for most of the remaining errors …
 *  have received increasing popularity due to the fact that
 *  Distant supervision based methods for entity and relation extraction…  
    `based method` 这种写法。
 *  require light human annotation efforts…
 *  consider the problem of …
 *  propose a joint extraction approach to address this problem by …
 *  To handle noisy instances in a fine-grained manner
 *  gather the wisdom of all agents

# day 2. 20210612 #

*  To leverage the correlation between these two tasks
 *  the benefits of …
 *  are crucial for downstream tasks, including sentiment classification, opinion summarization,…
 *  aims at extracting aspects and opinion expressions …
 *  To deal with this task.
 *  … mainly consisting of …
 *  Extensive experiments demonstrate that …
 *  separated extraction from web data into different problems based on the modality of the data
 *  take a holistic view toward information extraction
 *  trends within purely textual extraction have shifted toward full-document understanding  
    这句话可以改写。
 *  considering sentences as independent units.
 *  with this in mind （出于这种考虑）
 *  it is worth considering the information extraction problem as a whole …
 *  Few works in the literature of event extraction have gone beyond individual sentences to make extraction decisions.  
    事件抽取中少有这样的工作：~
 *  at different levels of granularity （以不同的粒度）
 *  Most existing methods are pipelined framework, which identifies emotions and extracts cause separately, leading to a drawback of error propagation.
 *  Towards this issue
 *  Recent developments in Neural Relation Extraction (NRE) have made significant strides towards Automated Knowledge Base Construction.  
    在…上取得了重大进展
 *  While much attention has been dedicated towards improvements in accuracy …
 *  for the purpose of analyzing gender bias in relation extraction systems.
 *  Our analysis lays groundwork for future quantifying and mitigating bias in NRE.

# day 3.缺 #

# day 4. 20210614 #

*  the advent of Deep Learning has radically transformed …
 *  across the entire spectrum from algorithms to circuits.
 *  As myriad(adj.无数的) application domains embrace DL
 *  it has become synonymous with …
 *  general matrix-matrix multiplications (GEMMs)
 *  a natural choice for hardware acceleration to speed up training …
 *  are highly irrugular and sparse…
 *  a flexible and scalable architecture that `offers high utilization of` all its processing elements(PEs) `regardless of kernel shape and sparsity`.
 *  performs 5.7× better than…
 *  roughly 3x bettern than state-of-the-art …
 *  demonstrate an instance of …
 *  Deep learning (DL) has emerged as the premier algorithmic technique for analyzing data across multiple domains.
 *  is still an open question, which is the focus of this work.
 *  is extremely compute intensive.
 *  GPUs are currently the most popular acceleration platform in use for training;
 *  built their own specialized training platforms such as …
 *  core component of …
 *  is the primary target for hardware acceleration.
 *  DNN models evolve at a arpid rate, it is impertaive to …
 *  architects need to be cognizant of three trends…
 *  need support for …
 *  fare poorly on …(在…上表现很差)
 *  do not natively support sparsity …
 *  key contributions/novelty
 *  to make the case of accelerating sparse, irregular GEMMs. (提出加速的理由)
 *  dissect state-of-the-art deep learning characteristics.
 *  shows the time break-up of different operations… （展示出了不同操作的时间分割）
 *  the operand matrices vary from tall-skinny (rows dominate over columns) to fat-short (columns dominate over rows)
 *  We measured the compute efficiency…
 *  to boost the efficiency compared to …
 *  are a poster-child for large GEMMs due to … (因为…特征，所以成为了…方面的典型代表)
 *  it is common to … (是很常见的)
 *  in many different scenarios due to two inherent features.

# day 5. 20210615 #

*  To address this issue.
 *  which makes it extremely prohibitive. (使其费用过高)（这里的`prohibitive`的含义是：代价较高的。）
 *  One of the key benefits of …
 *  There are a few well recognized …
 *  making it attrative for …
 *  We descibe the details with a walkthrough example in …
 *  enable it to do sth \[例句：SIGMA’s flexible substrate enables it to support myriad dataflows. \]
 *  comes at the cost of …
 *  in a pipelined fashion
 *  non-powers of two (非2的次幂)
 *  following the natural binary-tree topology (按照一个自然的二叉树结构)

# day 6. 20210616 缺 #

# day 7. 20210617 #

*  current benchmark datasets
 *  address real-world situations
 *  make the models fully exploit data
 *  to enhance generalization ability while outperforming indomain performance.
 *  alleviate a class imbalance
 *  a core task of information extraction
 *  In recent years, with a proliferation of
 *  breaking down a holistic perfomance into fine-grained categories
 *  have been highly overestimated
 *  superficial cues
 *  despite such commendable efforts
 *  We refer to the class imbalance problem to the number of negtive examples overwhelmingly larger than that of positive examples.
 *  inherent for the task of NER
 *  a model-agnostic debiasing method （一个与模型无关的去偏差方法）
 *  has reached a plateau
 *  a significant increase
 *  Not surprisingly,

# day 8. 20210618 #

*  reflects solutions of …
 *  To cope with the class-distribution shift of word between training and test dataset,
 *  how much of our method …
 *  What component can highly support the capacity of …
 *  a wide range of
 *  are prone to （倾向于…）

# day 9. 20210619 #

*  is especially useful for …
 *  the existing research employed a two-step framework,
 *  It aims at doing sth …
 *  such a pipeline of two steps contains some inherent flaws:
 *  To address these shortcomings,
 *  vast quantities of textual information
 *  faced similar problems
 *  making use of prior knowledge
 *  exploring the commonalities in the challenges and solutions （探索共性）

# day 10. 20210620 #

*  Most existing methods are pipelined framework, which … , leading to a drawback of error propagation.
 *  presents a neew challenging information extraction task in the domain of …
 *  On all tasks, using BERT embeddings leads to large performance gains, but with increasing task complexity,
 *  serve as competitive baselines
 *  suggests promising research directions (给出有希望的研究方向)

# day 11. 20210621 #

*  For the convenience to compare our model with previous work
 *  There are two versions of these two datasets … (有两版数据)
 *  to keep in line with…
 *  $ marks results quoted directly from the original papers.
 *  ∗ marks results produced with official implementation.
 *  a bonus capbility of …
 *  perform well on …

# day 12. 20210622 #

*  promising results in …
 *  a large amount of …
 *  significantly deteriorate the model performance …
 *  a simple or weighted combination of … (一种简单的或者是加权的组合)
 *  three essential ingredients …
 *  the ultra-large scale of the weakly labeled data …
 *  annotating a large number of documents can be expensive, time consuming, and prone to human errors.
 *  one of the biggest bottlenecks
 *  To achieve better performance with limited labeled data, researchers resort to large unlabeled data. (resort to)
 *  domain-specific (特定领域)
 *  Throughout the rest of the paper, (在论文的其它部分)

# day 13. 20210623 #

*  An ultra-large volume of weakly labeled data contains useful domain knowledge. (`an volume of`)
 *  enormous noise （注意搭配）
 *  This is further corroborated by our empirical observation
 *  in conjunction with
 *  a sequence labeling task
 *  To harness the power of weakly labeled data,
 *  make the fitting to the weak labels more conservative/aggressive.
 *  is closed related to …
 *  the gap between … and … is usually huge.
 *  only marginally improve the performance

# day 14. 20210624 #

*  we use the grid search to find optimal hyperparameters.
 *  can directly improve the performance.

# day 15. 20210628 #

*  has become a dominant choice in many domains.
 *  on popular leaderboards
 *  attain excellent results
 *  we mathematically characterize the expressive power of Graphormer
 *  it is still an open question
 *  give an affirmative answer

# day 16. 20210629 #

*  One notable geometrical property that distinguishes graph-structured data from other structured data is that there does not exist a canonical grid to embed the graph.
 *  Let the feature vector of node  v i v\_i vi be  x i x\_i xi
 *  we elaborate(详细阐述) on several key designs in the Graphormer.
 *  An advantage of Transformer is its global receptive field.
 *  has a byproduct problem
 *