4 papers
A Hierarchical Transformer for Unsupervised Parsing
Ashok Thillaisundaram
The underlying structure of natural language is hierarchical; words combine into phrases, which in turn form clauses. An awareness of this hierarchical structure can aid machine le…
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture
Ashok Thillaisundaram, Theodosia Togia
This paper presents our participation in the AGAC Track from the 2019 BioNLP Open Shared Tasks. We provide a solution for Task 3, which aims to extract "gene - function change - di…
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns
Julien Fauqueur, Ashok Thillaisundaram, Theodosia Togia
Knowledge base construction is crucial for summarising, understanding and inferring relationships between biomedical entities. However, for many practical applications such as drug…
Signatures of Brane Inflation
Ashok Thillaisundaram
We study slow-roll inflation on a three-brane in a five-dimensional bulk where the effects of energy loss from the brane due to graviton emission is included in a self-consistent m…