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Ihab F. Ilyas

2 accepted papers

2024

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation

COLING 2024main

Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models trained on datasets where KG and text pairs are not equivalent can suffer from more hallucination and poorer recall. In t…

Cited by 2SourcePDFScholar
2019

Approximate Inference in Structured Instances with Noisy Categorical Observations

UAI 2019poster

We study the problem of recovering the latent ground truth labeling of a structured instance with categorical random variables in the presence of noisy observations. We present a new approximate algorithm for graphs with categorical variables that achieves low Hamming error in the presence of noisy…

Cited by 9SourcePDFScholar