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Medical Semantic Similarity with a Neural Language Model
TLDR
The demonstrated superiority of this model for providing an effective semantic similarity measure is promising in that this may translate into effectiveness gains for techniques in medical information retrieval and medical informatics (e.g., query expansion and literature-based discovery).
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Research Frontiers in Information Retrieval Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)
TLDR
The intent is that this description of open problems will help to inspire researchers and graduate students to address the questions, and will provide funding agencies data to focus and coordinate support for information retrieval research.
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 with…
View on Taylor & Francis
Digital Strategies for Supporting Strengths- and Interests-based Learning with Children with Autism
TLDR
An understanding is an understanding of how technologies for self-expression led to enhanced verbal communication, positive reinforcement through video modelling, engagement in class tasks and enhanced social interaction.
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Information retrieval as semantic inference: a Graph Inference model applied to medical search
TLDR
The Graph Inference model is developed and applied to medical search, it is a general retrieval model applicable to other areas such as web search, where an emerging research trend is to utilise structured knowledge resources for more effective semantic search.
View on Springer
Active learning: a step towards automating medical concept extraction
TLDR
Incremental active learning is a promising approach for building effective and robust medical concept extraction models while significantly reducing the burden of manual annotation.
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AML: Efficient Approximate Membership Localization within a Web-Based Join Framework
TLDR
The optimized algorithm P-Prune that prunes a large part of overlapped redundant matched substrings before generating them is proposed that proves the advantage of AML over AME, but also demonstrates the effectiveness of the search-based approach.
View on IEEE
Engaging IT Students in Co-Design with People with Intellectual Disability
Current and emerging participative design practices are providing opportunities for people with intellectual disability to have a say in how technology can best support them and their individual…
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Use of voice activated interfaces by people with intellectual disability
TLDR
It is found that participants' mental model of the VAIs was that of a person, implications for which include the user having to speak in long polite sentences and expecting voice responses and feedback about the state of the device.
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WebPut: Efficient Web-Based Data Imputation
TLDR
Experiments based on several real-world data collections demonstrate that WebPut outperforms existing approaches to the data imputation problem and extends effective Information Extraction methods for the purpose of formulating web search queries that are capable of effectively retrieving missing values with high accuracy.
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