AIMC Topic: Vocabulary
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Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
To incorporate ontological concepts in natural language processing (NLP) it is often necessary to combine simple concepts into complex concepts (post-coordination). This is especially true in consumer language, where a more limited vocabulary forces ...
Homophily of Vocabulary Usage: Beneficial Effects of Vocabulary Similarity on Online Health Communities Participation.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Online health communities provide popular platforms for individuals to exchange psychosocial support and form ties. Although regular active participation (i.e., posting to interact with other members) in online health communities can provide importan...
Analyzing depression tendency of web posts using an event-driven depression tendency warning model.
Artificial intelligence in medicine
Nov 2, 2015
OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, where authors share their thoughts in web blogs, micro-blogs, forums, bulletin board systems or other media. In this work, we investigate text-mining te...
A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words.
Computational intelligence and neuroscience
Apr 23, 2015
With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive an...
Evaluating a pivot-based approach for bilingual lexicon extraction.
Computational intelligence and neuroscience
Apr 23, 2015
A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evalua...
Encoding sequential information in semantic space models: comparing holographic reduced representation and random permutation.
Computational intelligence and neuroscience
Apr 7, 2015
Circular convolution and random permutation have each been proposed as neurally plausible binding operators capable of encoding sequential information in semantic memory. We perform several controlled comparisons of circular convolution and random pe...
Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.
Human brain mapping
Apr 1, 2025
Compared to nonverbal cognition such as executive or memory functions, language-related cognition generally appears to remain more stable until later in life. Nevertheless, different language-related processes, for example, verbal fluency versus voca...
An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics.
Studies in health technology and informatics
May 25, 2022
The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in...
African languages to get more bespoke scientific terms.
Nature
Aug 1, 2021
Data-driven method to enhance craniofacial and oral phenotype vocabularies.
Journal of the American Dental Association (1939)
Nov 1, 2019
BACKGROUND: A significant amount of clinical information captured as free-text narratives could be better used for several applications, such as clinical decision support, ontology development, evidence-based practice, and research. The Human Phenoty...
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