Angrosh Mandya — accepted AI-conference papers

2022

Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion

Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala

NAACL 2022long

Prior work on integrating text corpora with knowledge graphs (KGs) to improve Knowledge Graph Embedding (KGE) have obtained good performance for entities that co-occur in sentences in text corpora. Such sentences (textual mentions of entity-pairs) are represented as Lexicalised Dependency Paths (LDP…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2020

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction

Angrosh Mandya, Danushka Bollegala, Frans Coenen

COLING 2020main

We propose a contextualised graph convolution network over multiple dependency-based sub-graphs for relation extraction. A novel method to construct multiple sub-graphs using words in shortest dependency path and words linked to entities in the dependency parse is proposed. Graph convolution operati…

Cited by 41 Source ↗PDF ↗code ↗Scholar ↗