focus(n.) 1640s, "point of convergence," from Latinfocus"hearth, fireplace" (also, figuratively, "home, family"), which is of unknown origin. Used in post-classical times for "fire" itself; taken by Kepler (1604) in a mathematical sense for "point of convergence," perhaps on analogy ...
words, although the evidence for this effect is mixed. There are three different self-focus Stroop tasks. The ... MW Green,U,FP Mckenna - 《European Journal of Social Psychology》 被引量: 0发表: 1996年 The impact of impression-management tactics on supervisor ratings of organizational ...
Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recogniti...
The 28th ASEAN Summit will discuss ASEAN Community building efforts, especially the implementation of the ASEAN Community Vision 2025, while the 29th ASEAN Summit will focus on ASEAN's external relations and future direction as well as exchange of views on regional and international issues of common...
语言推断模型过度关注特定单词来进行预测——NLI Models are very sensitive to words [12] Semi-Supervised Text Classification with Balanced Deep Representation Distributions 关键词:半监督的文本分类问题 背景:Semi-Supervised Text Classification (SSTC) mainly works under the spirit of self-training. They initi...
The predominant finding of studies assessing the response of the left ventral occipito-temporal cortex (vOT) to familiar words and to unfamiliar, but pronounceable letter strings (pseudowords) is higher activation for pseudowords. One explanation for this finding is that readers automatically generate...
语言推断模型过度关注特定单词来进行预测——NLI Models are very sensitive to words [12] Semi-Supervised Text Classification with Balanced Deep Representation Distributions 关键词:半监督的文本分类问题 背景:Semi-Supervised Text Classification (SSTC)...
words, for a given time reference (e.g., 1960s) with\(t_s\)denoting its start year (1960) and\(t_e\)indicating its end year (1969) we set the probability distribution with zero values for\(t<t_s\)and for\(t>t_e\)(e.g., before 1960 and after 1969) and with nonzero ...
Bold Words: Into Light in Focus: Principal Wants More Job-Related Training; Call for More Practical CoursesA lack of focus on practical, job-related training is threatening West Midlands prosperity,...The Birmingham Post (England)
n-gram can be used as features for machine learning and downstream NLP tasks back to top Bag of Words Why? Machine learning models cannot work with raw text directly; rather, they take numerical values as input. Bag of words (BoW) builds a vocabulary of all the unique words in our datas...