Results 71 to 80 of about 33,665 (246)
Scoping review on natural language processing applications in counselling and psychotherapy
British Journal of Psychology, EarlyView.Abstract 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 of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva +3 more
wiley +1 more source
, 2017 This study considers the problem of automated detection of non-relevant posts on Web forums and discusses the approach of resolving this problem by approximation it with the task of detection of semantic relatedness between the given post and the opening
Bakarov, Amir, Gureenkova, Olga
core +1 more source
Network medicine and systems pharmacology approaches to predicting adverse drug effects
British Journal of Pharmacology, EarlyView.Identifying and understanding the relationships between drug intake and adverse effects that can occur due to inadvertent molecular interactions between drugs and targets is a difficult task, especially considering the numerous variables that can influence the onset of such events.
Alessio Funari +2 more
wiley +1 more source
Radical-Enhanced Chinese Character Embedding
, 2014 We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and ...
Ji, Zhenzhou +5 more
core +1 more source
Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source
Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks
Open Computer Science, 2022 Word2Vec is a prominent model for natural language processing tasks. Similar inspiration is found in distributed embeddings (word-vectors) in recent state-of-the-art deep neural networks.
Adewumi Tosin +2 more
doaj +1 more source
Research Direction and Science Evaluation: The Role of Coherence and Alignment
Journal of Economics &Management Strategy, EarlyView.ABSTRACT The decisions of funding agencies greatly influence the direction of scientific research; however, our understanding of how applicants' research directions affect the selection process remains limited. In this study, we investigate how a project's coherence with a scientist's previous work and its alignment with current scientific trends ...
Charles Ayoubi +3 more
wiley +1 more source
An Approximate Model for Event Detection From Twitter Data
IEEE Access, 2020 The abundance and real-time availability of Twitter data have proved beneficial in detecting events in various domains such as emergency situations, crime detection, public health, place recommendations, etc.
Aarzoo Dhiman, Durga Toshniwal
doaj +1 more source
An analysis of word embedding spaces and regularities [PDF]
, 2019 Word embeddings are widely use in several applications due to their ability to capture semantic relationships between words as relations between vectors in high dimensional spaces.
Gijón Agudo, Manuel
core +1 more source
The Modern Language Journal, EarlyView.Abstract Our research investigated how L2 and L1 reading, L1 low‐level skills and working memory are related to ratings and the linguistic characteristics (productivity, cohesion, lexical sophistication and diversity, syntactic complexity, and accuracy) of argumentative and narrative texts. The research was conducted in Hungary with 95 secondary school
Judit Kormos, Csilla Bartha
wiley +1 more source