Results 41 to 50 of about 1,627,644 (339)
Natural language processing applied to mental illness detection: a narrative review
npj Digital Medicine, 2022 Mental illness is highly prevalent nowadays, constituting a major cause of distress in people’s life with impact on society’s health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety
Tianlin Zhang +3 more
semanticscholar +1 more source
A Relationship: Word Alignment, Phrase Table, and Translation Quality
The Scientific World Journal, 2014 In the last years, researchers conducted several studies to evaluate the machine translation quality based on the relationship between word alignments and phrase table.
Liang Tian +3 more
doaj +1 more source
Natural language processing: state of the art, current trends and challenges [PDF]
Multimedia tools and applications, 2017 Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction,
Diksha Khurana +3 more
semanticscholar +1 more source
Journal of Information Science Theory and Practice, 2015 Evaluation of retrieval systems is mostly limited to laboratory settings and rarely considers changes of performance over time. This article presents an evaluation of retrieval systems for internal Web site search systems between the years 2006 and 2011.
Mandl, Thomas +2 more
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Distributional Measures of Semantic Abstraction
Frontiers in Artificial Intelligence, 2022 This article provides an in-depth study of distributional measures for distinguishing between degrees of semantic abstraction. Abstraction is considered a “central construct in cognitive science” (Barsalou, 2003) and a “process of information reduction ...
Sabine Schulte im Walde +1 more
doaj +1 more source
Inf., 2023 This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is revolutionizing generative text. We provide a comprehensive analysis of its architecture, training data, and evaluation metrics and explore its advancements and ...
Moatsum Alawida +4 more
semanticscholar +1 more source
Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms
Acta Informatica Pragensia, 2021 Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level.
Nattawat Khamphakdee +1 more
doaj +1 more source
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets [PDF]
BioNLP@ACL, 2019 Inspired by the success of the General Language Understanding Evaluation benchmark, we introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to facilitate research in the development of pre-training language representations in the ...
Yifan Peng, Shankai Yan, Zhiyong Lu
semanticscholar +1 more source
Revisiting Pre-Trained Models for Chinese Natural Language Processing [PDF]
Findings, 2020 Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and consecutive variants have been proposed to further improve the performance of the pre-trained language models. In this paper, we
Yiming Cui +5 more
semanticscholar +1 more source
Bootstrapping Knowledge Graphs From Images and Text
Frontiers in Neurorobotics, 2019 The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao +7 more
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