AIMC Topic: Language

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Verbal analogy problem sets: An inventory of testing materials.

Behavior research methods
Analogical reasoning is an active topic of investigation across education, artificial intelligence (AI), cognitive psychology, and related fields. In all fields of inquiry, explicit analogy problems provide useful tools for investigating the mechanis...

An Empirical Method of Automatic Pattern Extraction for Clinical Text Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Clinical text classification is an indispensable and extensively studied problem in medical text processing. Existing research primarily employs machine learning and pattern based approaches to address the stated problem. In general, pattern based ap...

The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.

Studies in health technology and informatics
Recent studies in the biomedical domain suggest that learning statistical word representations (static or contextualized word embeddings) on large corpora of specialized data improve the results on downstream natural language processing (NLP) tasks. ...

Parallel Sentence Alignment from Biomedical Comparable Corpora.

Studies in health technology and informatics
Parallel sentences provide semantically similar information which can vary on a given dimension, such as language or register. Parallel sentences with register variation (like expert and non-expert documents) can be exploited for the automatic text s...

Negation Detection for Clinical Text Mining in Russian.

Studies in health technology and informatics
Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module ...

Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution.

Studies in health technology and informatics
Acronyms frequently occur in clinical text, which makes their identification, disambiguation and resolution an important task in clinical natural language processing. This paper contributes to acronym resolution in Spanish through the creation of a s...

Evaluation of Document Retrieval Systems on a Medical Corpus in French: Indexation vs. Feature Learning.

Studies in health technology and informatics
This paper presents five document retrieval systems for a small (few thousands) and domain specific corpora (weekly peer-reviewed medical journals published in French) as well as an evaluation methodology to quantify the models performance. The propo...

Clinical Abbreviation Disambiguation Using Deep Contextualized Representation.

Studies in health technology and informatics
The objective of this study is to develop a method for clinical abbreviation disambiguation using deep contextualized representation and cluster analysis. We employed the pre-trained BioELMo language model to generate the contextualized word vector f...

Character-Level Neural Language Modelling in the Clinical Domain.

Studies in health technology and informatics
Word embeddings have become the predominant representation scheme on a token-level for various clinical natural language processing (NLP) tasks. More recently, character-level neural language models, exploiting recurrent neural networks, have again r...

A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM.

Studies in health technology and informatics
The aim of this study was to develop a simple method to map the French International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) with the International Classification of Diseases, 10th Revision, Clinical...