This survey paper reviews Natural Language Processing Models and their use in COVID-19 research in two main areas. Firstly, a range of transformer-based biomedical pretrained language models are evaluated using
Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up-to-date review ...
H. Butt, M. W. Anwar, and M. A. K. Khattak, "The applications of natural language processing (NLP) for software requirement engineering-a systematic literature review", in International Conference on Information Science and Applications, Springer, Singapore. March 2017, pp. 485- 493....
Preparing a dataset for natural language processing In order for a NLP model to carry out tasks, the data must be pre-processed. This ensures that there is minimal loss within the model [28]. This often involves NLP subtasks based on syntactic and semantic analysis, defined in Table 1, su...
There are different text types, in which people express their mood, such as social media messages on social media platforms, transcripts of interviews and clinical notes including the description of patients’ mental states. In recent years, natural language processing (NLP), a branch of artificial...
To provide a critical appraisal and synthesis of evidence concerning the application of natural language processing (NLP) techniques for clinical purposes in the geriatric population. In particular, we discuss the state of the art on studying language in healthy and pathological ageing, focusing on th...
The field of natural language processing is on fire🔥 with academic and industry enthusiasm at record highs. However, these statistics on popularity give a fairly inadequate representation of global NLP interest. The bulk of this growth is happening in Northern America (led by the U.S.) and ...
This is the first blog post in a two-part series. The series expands on the Frontiers of Natural Language Processing session organized by Herman Kamper and me at the Deep Learning Indaba 2018.
The use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated. Objective This review aims to summarize the use of NLP in mental health research, with a special focus on the types of text datasets and the...
Health researchers are increasingly using natural language processing (NLP) to study various mental health conditions using both social media and electronic health records (EHRs). There is currently no published synthesis that relates specifically to the use of NLP methods for bipolar disorder, and thi...