AIMC Topic: Natural Language Processing

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Extracting Various Classes of Data From Biological Text Using the Concept of Existence Dependency.

IEEE journal of biomedical and health informatics
One of the key goals of biological natural language processing (NLP) is the automatic information extraction from biomedical publications. Most current constituency and dependency parsers overlook the semantic relationships between the constituents c...

Biomedical question answering using semantic relations.

BMC bioinformatics
BACKGROUND: The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) syste...

Embedding assisted prediction architecture for event trigger identification.

Journal of bioinformatics and computational biology
Molecular events normally have significant meanings since they describe important biological interactions or alternations such as binding of a protein. As a crucial step of biological event extraction, event trigger identification has attracted much ...

Evaluation of PHI Hunter in Natural Language Processing Research.

Perspectives in health information management
OBJECTIVES: We introduce and evaluate a new, easily accessible tool using a common statistical analysis and business analytics software suite, SAS, which can be programmed to remove specific protected health information (PHI) from a text document. Re...

Link-topic model for biomedical abbreviation disambiguation.

Journal of biomedical informatics
INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt...

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association
INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancreatic cysts are incidental, ubiquitous and poorly understood, follow-up is often not performed. Pancreatic cysts may have a significant malignant pote...

Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs.

Journal of biomedical informatics
INTRODUCTION: This article explores how measures of semantic similarity and relatedness are impacted by the semantic groups to which the concepts they are measuring belong. Our goal is to determine if there are distinctions between homogeneous compar...

Recognizing lexical and semantic change patterns in evolving life science ontologies to inform mapping adaptation.

Artificial intelligence in medicine
BACKGROUND: Mappings established between life science ontologies require significant efforts to maintain them up to date due to the size and frequent evolution of these ontologies. In consequence, automatic methods for applying modifications on mappi...

An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper presents a brain-computer interface for text entry using steady-state visually evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired input character by posing questions (or queries) to users through a visu...