AIMC Topic: Natural Language Processing

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Interspecies gene function prediction using semantic similarity.

BMC systems biology
BACKGROUND: Gene Ontology (GO) is a collaborative project that maintains and develops controlled vocabulary (or terms) to describe the molecular function, biological roles and cellular location of gene products in a hierarchical ontology. GO also pro...

Identifying the missing proteins in human proteome by biological language model.

BMC systems biology
BACKGROUND: With the rapid development of high-throughput sequencing technology, the proteomics research becomes a trendy field in the post genomics era. It is necessary to identify all the native-encoding protein sequences for further function and p...

Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.

PloS one
An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our socie...

Large-scale identification of patients with cerebral aneurysms using natural language processing.

Neurology
OBJECTIVE: To use natural language processing (NLP) in conjunction with the electronic medical record (EMR) to accurately identify patients with cerebral aneurysms and their matched controls.

Automatic Construction and Global Optimization of a Multisentiment Lexicon.

Computational intelligence and neuroscience
Manual annotation of sentiment lexicons costs too much labor and time, and it is also difficult to get accurate quantification of emotional intensity. Besides, the excessive emphasis on one specific field has greatly limited the applicability of doma...

Multiview Convolutional Neural Networks for Multidocument Extractive Summarization.

IEEE transactions on cybernetics
Multidocument summarization has gained popularity in many real world applications because vital information can be extracted within a short time. Extractive summarization aims to generate a summary of a document or a set of documents by ranking sente...

Treating conduct disorder: An effectiveness and natural language analysis study of a new family-centred intervention program.

Psychiatry research
This paper reports on a new family-centred, feedback-informed intervention focused on evaluating therapeutic outcomes and language changes across treatment for conduct disorder (CD). The study included 26 youth and families from a larger randomised, ...

Detecting negation and scope in Chinese clinical notes using character and word embedding.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Researchers have developed effective methods to index free-text clinical notes into structured database, in which negation detection is a critical but challenging step. In Chinese clinical records, negation detection is par...

A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization.

Academic radiology
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural la...

Preschoolers Flexibly Adapt to Linguistic Input in a Noisy Channel.

Psychological science
Because linguistic communication is inherently noisy and uncertain, adult language comprehenders integrate bottom-up cues from speech perception with top-down expectations about what speakers are likely to say. Further, in line with the predictions o...