Munazza Zaib

Orcid: 0000-0003-2394-0874

According to our database1, Munazza Zaib authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Can we quantify trust? Towards a trust-based resilient SIoT network.
Computing, February, 2024

Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation.
CoRR, 2024

Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
HeteGraph: graph learning in recommender systems via graph convolutional networks.
Neural Comput. Appl., June, 2023

Learning to Select the Relevant History Turns in Conversational Question Answering.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Correction to: Towards employing native information in citation function classification.
Scientometrics, 2022

Towards employing native information in citation function classification.
Scientometrics, 2022

Conversational question answering: a survey.
Knowl. Inf. Syst., 2022

2021
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP.
CoRR, 2021

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR, 2020

BERT-CoQAC: BERT-Based Conversational Question Answering in Context.
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020

Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach.
Proceedings of the MobiQuitous '20: Computing, 2020

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The 10 Research Topics in the Internet of Things.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP.
Proceedings of the Australasian Computer Science Week, 2020


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