Results 41 to 50 of about 2,055,157 (200)
Speech Rate Adjustments in Conversations With an Amazon Alexa Socialbot
Frontiers in Communication, 2021 This paper investigates users’ speech rate adjustments during conversations with an Amazon Alexa socialbot in response to situational (in-lab vs. at-home) and communicative (ASR comprehension errors) factors.
Michelle Cohn +7 more
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Natural language processing [PDF]
Annual Review of Information Science and Technology, 2003 Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language ...
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A Method of Chinese-Vietnamese Bilingual Corpus Construction for Machine Translation
IEEE Access, 2022 A bilingual corpus is vital for natural language processing problems, especially in machine translation. The larger and better quality the corpus is, the higher the efficiency of the resulting machine translation is.
Phuoc Tran +4 more
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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
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond [PDF]
Transactions of the Association for Computational Linguistics, 2021 A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same importance in Natural Language Processing (NLP), which has traditionally ...
Amir Feder +12 more
semanticscholar +1 more source
SSRN Electronic Journal, 2023 Hints of the outbreak are detected through the modified circumstances favoring the outbreaks, like the warm weather contributing to epidermal outbreaks or the loss of sanitation leading to cholera outbreaks typically relying on the routine reports from the healthcare facilities, secondary data like attendance monitoring at workplaces and schools, the ...
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ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing [PDF]
BioNLP@ACL, 2019 Despite recent advances in natural language processing, many statistical models for processing text perform extremely poorly under domain shift. Processing biomedical and clinical text is a critically important application area of natural language ...
Mark Neumann +3 more
semanticscholar +1 more source
A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
The Scientific World Journal, 2014 Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
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Chemical-induced disease relation extraction via attention-based distant supervision
BMC Bioinformatics, 2019 Background Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical ...
Jinghang Gu +3 more
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Improving Transformer-Based Neural Machine Translation with Prior Alignments
Complexity, 2021 Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically ...
Thien Nguyen +3 more
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