AIMC Topic: Natural Language Processing

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Natural Language Processing: from Bedside to Everywhere.

Yearbook of medical informatics
OBJECTIVES: Owing to the rapid progress of natural language processing (NLP), the role of NLP in the medical field has radically gained considerable attention from both NLP and medical informatics. Although numerous medical NLP papers are published a...

A Comparative Study of Text Genres in English-Chinese Translation Effects Based on Deep Learning LSTM.

Computational and mathematical methods in medicine
In recent years, neural network-based English-Chinese translation models have gradually supplanted traditional translation methods. The neural translation model primarily models the entire translation process using the "encoder-attention-decoder" str...

Hierarchical Attention Neural Network for Event Types to Improve Event Detection.

Sensors (Basel, Switzerland)
Event detection is an important task in the field of natural language processing, which aims to detect trigger words in a sentence and classify them into specific event types. Event detection tasks suffer from data sparsity and event instances imbala...

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning.

Sensors (Basel, Switzerland)
The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals' emotions empowers sentiment analysis. However, sentiment analysis becomes even mo...

A Cooperative Lightweight Translation Algorithm Combined with Sparse-ReLU.

Computational intelligence and neuroscience
In the field of natural language processing (NLP), machine translation algorithm based on Transformer is challenging to deploy on hardware due to a large number of parameters and low parametric sparsity of the network weights. Meanwhile, the accuracy...

Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes.

Scientific data
Medicinal plants have demonstrated therapeutic potential for applicability for a wide range of observable characteristics in the human body, known as "phenotype," and have been considered favorably in clinical treatment. With an ever increasing inter...

Evaluation of clinical named entity recognition methods for Serbian electronic health records.

International journal of medical informatics
BACKGROUND AND OBJECTIVES: The importance of clinical natural language processing (NLP) has increased with the adoption of electronic health records (EHRs). One of the critical tasks in clinical NLP is named entity recognition (NER). Clinical NER in ...

Novel Perspectives for the Management of Multilingual and Multialphabetic Heritages through Automatic Knowledge Extraction: The DigitalMaktaba Approach.

Sensors (Basel, Switzerland)
The linguistic and social impact of multiculturalism can no longer be neglected in any sector, creating the urgent need of creating systems and procedures for managing and sharing cultural heritages in both supranational and multi-literate contexts. ...