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Medical Semantic Similarity with a Neural Language Model
We explore a variation of neural language models that can learn on concepts taken from structured ontologies and extracted from free-text, rather than directly from terms in UMLS. Expand
Research Frontiers in Information Retrieval Report from the Third Strategic Workshop on Information Retrieval in Lorne ( SWIRL 2018 )
The purpose of the Strategic Workshop in Information Retrieval in Lorne is to explore the long-range issues of the Information Retrieval field, to recognize challenges that are on – or even over –Expand
Active learning: a step towards automating medical concept extraction
We present an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Expand
A probabilistic framework for analysing the compositionality of conceptual combinations
Conceptual combination performs a fundamental role in creating the broad range of compound phrases utilized in everyday language. Expand
An evaluation of corpus-driven measures of medical concept similarity for information retrieval
We evaluate the effectiveness of eight common corpus-driven measures in capturing semantic relatedness and compare these against human judged concept pairs assessed by medical professionals. Expand
Information retrieval as semantic inference: a Graph Inference model applied to medical search
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources, statistical information retrieval methods and inference in a unified framework. Expand
Design after design to bridge between people living with cognitive or sensory impairments, their friends and proxies
A carer or teacher often plays the role of proxy or spokesperson for a person living with an intellectual disability or form of cognitive or sensory impairment. Our research undertook co-design withExpand
Use of voice activated interfaces by people with intellectual disability
We present a study to understand how people with intellectual disabilities can use Voice Activated Interfaces (VAIs) to access information and assist in daily activities. Expand
WebPut: Efficient Web-Based Data Imputation
In this paper, we present WebPut, a prototype system that adopts a novel web-based approach to the data imputation problem. Expand
AML: Efficient Approximate Membership Localization within a Web-Based Join Framework
In this paper, we propose a new type of Dictionary-based Entity Recognition Problem, named Approximate Membership Localization (AML) which is a better approximation to the true matched substrings without generating overlapped redundancies. Expand