9 citations · 14 across the 4 of their papers we have counts for
4 papers
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
Huda Hakami, Mona Hakami, Angrosh Mandya +1
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…
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering
Angrosh Mandya, James O'Neill, Danushka Bollegala +1
The Conversational Question Answering (CoQA) task involves answering a sequence of inter-related conversational questions about a contextual paragraph. Although existing approaches…
Contextualised Graph Attention for Improved Relation Extraction
Angrosh Mandya, Danushka Bollegala, Frans Coenen
This paper presents a contextualized graph attention network that combines edge features and multiple sub-graphs for improving relation extraction. A novel method is proposed to us…
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction
Angrosh Mandya, Danushka Bollegala, Frans Coenen +1
We propose in this paper a combined model of Long Short Term Memory and Convolutional Neural Networks (LSTM-CNN) that exploits word embeddings and positional embeddings for cross-s…