Maciej Rybiński
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View article: An Evaluation of Large Language Models for Supplementing a Food Extrusion Dataset
An Evaluation of Large Language Models for Supplementing a Food Extrusion Dataset Open
Food extrusion is a widely used processing technique that transforms raw ingredients into structured food products—foods with well-defined textures, shapes, and functionalities—through mechanical shear and thermal energy. Despite its broad…
View article: Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review
Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review Open
View article: Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review
Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review Open
Clinical coding is crucial for healthcare billing and data analysis. Manual clinical coding is labour-intensive and error-prone, which has motivated research towards full automation of the process. However, our analysis, based on US Englis…
View article: Learning to match patients to clinical trials using large language models
Learning to match patients to clinical trials using large language models Open
This research demonstrates the promising role of LLMs in enhancing the patient-to-clinical trial matching process, offering a significant advancement in the automation of patient recruitment. Future work should explore optimising the balan…
View article: An adaptive approach to noisy annotations in scientific information extraction
An adaptive approach to noisy annotations in scientific information extraction Open
View article: KNIT: Ontology reusability through knowledge graph exploration
KNIT: Ontology reusability through knowledge graph exploration Open
Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting perspectives. These …
View article: CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models Open
Lay summarisation aims at generating a summary for non-expert audience which allows them to keep updated with latest research in a specific field. Despite the significant advancements made in the field of text summarisation, lay summarisat…
View article: impact of sample selection on in-context learning for entity extraction from scientific writing
impact of sample selection on in-context learning for entity extraction from scientific writing Open
Prompt-based usage of Large Language Models (LLMs) is an increasingly popular way to tackle many well-known natural language problems. This trend is due, in part, to the appeal of the In-Context Learning (ICL) prompt set-up, in which a few…
View article: Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts
Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts Open
Measurement extraction is an information extraction subtask focused on extracting quantities and their dependent entities within a given scientific text.Quantity extraction is the first and most important step in measurement extraction.Mos…
View article: MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines
MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines Open
Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational …
View article: Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries
Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries Open
View article: Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions Open
This paper presents Macquarie University's participation to the BioASQ Synergy Task, and BioASQ9b Phase B. In each of these tasks, our participation focused on the use of query-focused extractive summarisation to obtain the ideal answers t…
View article: Correction: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis (Preprint)
Correction: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis (Preprint) Open
UNSTRUCTURED REMOVE
View article: Correction: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
Correction: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis Open
[This corrects the article DOI: 10.2196/24020.].
View article: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis Open
Background The prognosis, diagnosis, and treatment of many genetic disorders and familial diseases significantly improve if the family history (FH) of a patient is known. Such information is often written in the free text of clinical notes…
View article: A2A: a platform for research in biomedical literature search
A2A: a platform for research in biomedical literature search Open
Background Finding relevant literature is crucial for many biomedical research activities and in the practice of evidence-based medicine. Search engines such as PubMed provide a means to search and retrieve published literature, given a qu…
View article: Searching Scientific Literature for Answers on COVID-19 Questions
Searching Scientific Literature for Answers on COVID-19 Questions Open
Finding answers related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually. TREC COVID search track aims to assist in creating search tools to ai…
View article: Elecciones catalanas del 21D: análisis de los perfiles de los candidatos en Twitter
Elecciones catalanas del 21D: análisis de los perfiles de los candidatos en Twitter Open
View article: VIGLA-M: visual gene expression data analytics
VIGLA-M: visual gene expression data analytics Open
VIGLA-M, the visual analysis tool for gene expression levels in melanoma patients is available at http://khaos.uma.es/melanoma/ . The platform with real clinical data can be accessed with a demo user account, physician, using password phys…
View article: Introducing the HOBBIT platform into the ontology alignment evaluation campaign
Introducing the HOBBIT platform into the ontology alignment evaluation campaign Open
This paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign. Like in 2012, when we transitioned the evaluation to the SEALS platform, we have also conducted a pre-campaign to assess the feasibility of moving to th…
View article: La enseñanza del metabolismo: retos y oportunidades
La enseñanza del metabolismo: retos y oportunidades Open
En el marco del Proyecto de Innovación Educativa de la Universidad de Málaga PIE15-163, cuya descripción y resultados incluimos, decidimos que esta era una excelente oportunidad para reflexionar acerca de la enseñanza del metabolismo y de …
View article: Improving approximation of domain-focused, corpus-based, lexical semantic relatedness
Improving approximation of domain-focused, corpus-based, lexical semantic relatedness Open
Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating semantic re…
View article: tESA: a distributional measure for calculating semantic relatedness
tESA: a distributional measure for calculating semantic relatedness Open
View article: DisMatch results for OAEI 2016.
DisMatch results for OAEI 2016. Open
DisMatch is an experimental ontology matching system based
\non the use of corpus based distributional measure for approximating se-
\nmantic relatedness. Through the use of a domain-related corpus, the
\nmeasure can be applied to a proble…
View article: kpath: integration of metabolic pathway linked data
kpath: integration of metabolic pathway linked data Open
In the last few years, the Life Sciences domain has experienced a rapid growth in the amount of available biological databases. The heterogeneity of these databases makes data integration a challenging issue. Some integration challenges ar…