Enabling Support for Complex Questions in Knowledge-Graph QA by Decomposition
Decomposition of complex questions into subqueries for knowledge-graph question answering.
Academic profile
41 results
Decomposition of complex questions into subqueries for knowledge-graph question answering.
Adaptation and evaluation of MuHeQA for natural-language access to European Railway Agency knowledge graphs.
Dynamic topic modelling of coronavirus literature to identify trends and thematic change.
Conversational models for generating labels for probabilistic topics from representative keywords.
Extraction of relationships between biomedical entities from scientific text.
A web application for exploring a document-oriented database.
Machine-learning methods for studying neuroanatomical and electrophysiological factors associated with heavy alcohol consumption.
Best-practice guidance and an update pipeline for knowledge graphs built from coronavirus scientific literature.
A systematic study of human cell types using biomedical information.
Generation of a Spanish corpus annotated with biomedical entities.
Predictive models for mismatch repair deficiency in ovarian carcinomas.
Machine-learning models for estimating colorectal cancer relapse risk.
A user interface for natural-language access to a question-answering system.
An automatic evaluation framework for probabilistic topic models using inverted indexes.
A web application for visualising and exploring document corpora with semantic technologies.
Biomedical named-entity recognition and normalisation in SARS-CoV-2 literature.
Evidence-based question answering over scientific documents.