Mona Hakami — 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 ↗

2017

Machine learning based non-intrusive quality estimation with an augmented feature set

Mona Hakami, W. Bastiaan Kleijn

ICASSP 2017accepted

We present a method that improves the objective quality estimation of a speech utterance. We show that including raw features that are presumably redundant reduces the effect of input noise and improves the performance of linear regressors. To exploit this effect we propose the novel idea to augment…

Cited by 0 Source ↗Scholar ↗