95,519 research outputs found
Comparative Analysis of Word Embeddings for Capturing Word Similarities
Distributed language representation has become the most widely used technique
for language representation in various natural language processing tasks. Most
of the natural language processing models that are based on deep learning
techniques use already pre-trained distributed word representations, commonly
called word embeddings. Determining the most qualitative word embeddings is of
crucial importance for such models. However, selecting the appropriate word
embeddings is a perplexing task since the projected embedding space is not
intuitive to humans. In this paper, we explore different approaches for
creating distributed word representations. We perform an intrinsic evaluation
of several state-of-the-art word embedding methods. Their performance on
capturing word similarities is analysed with existing benchmark datasets for
word pairs similarities. The research in this paper conducts a correlation
analysis between ground truth word similarities and similarities obtained by
different word embedding methods.Comment: Part of the 6th International Conference on Natural Language
Processing (NATP 2020
The Impact of Leadership on Health – A Preliminary Discussion
Contemporary leaders are confronted with unrelenting demands while setting visions, goals, and objectives for organizations. Empirical studies have shown that leaders are increasingly faced with high levels of stress which, in turn, have an impact on the health of individuals, groups, and entire organizational entities. There is a particular concern for the individual health of leaders since leaders play a particularly important role in the success and future survival of firms. This research paper endeavors to address some of the pertinent issues of the concept of leadership as they specifically relate to and impact health.leadership; health; organizations; leaders.
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