AIMC Topic: Language

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Natural language processing and the Now-or-Never bottleneck.

The Behavioral and brain sciences
Researchers, motivated by the need to improve the efficiency of natural language processing tools to handle web-scale data, have recently arrived at models that remarkably match the expected features of human language processing under the Now-or-Neve...

Reservoir computing and the Sooner-is-Better bottleneck.

The Behavioral and brain sciences
Prior language input is not lost but integrated with the current input. This principle is demonstrated by "reservoir computing": Untrained recurrent neural networks project input sequences onto a random point in high-dimensional state space. Earlier ...

An ontology-based consultation system to support medical care on board seagoing vessels.

International maritime health
BACKGROUND: A realistic possibility to obtain medical care for patients located in remote sites such as seagoing vessels, in which health professionals are not available, is to contact a doctor via telecommunication systems. In general, the medical k...

Deep learning.

Nature
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visua...

BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model.

IEEE/ACM transactions on computational biology and bioinformatics
With the rapid development of biomedical sciences, a great number of documents have been published to report new scientific findings and advance the process of knowledge discovery. By the end of 2013, the largest biomedical literature database, MEDLI...

A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Studies in health technology and informatics
In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of confidentiality for protected health information (PHI) in clinical narratives. In this paper, we investigated the use of a frequency-based approach to ext...

A Process for the Representation of openEHR ADL Archetypes in OWL Ontologies.

Studies in health technology and informatics
ADL is a formal language to express archetypes, independent of standards or domain. However, its specification is not precise enough in relation to the specialization and semantic of archetypes, presenting difficulties in implementation and a few ava...

Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.

Studies in health technology and informatics
Rapid growth in electronic health records (EHRs) use has led to an unprecedented expansion of available clinical data in electronic formats. However, much of the important healthcare information is locked in the narrative documents. Therefore Natural...