Irene Manotas

According to our database, Irene Manotas authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found.

Irene Manotas, Octavian Popescu, Ngoc Phuoc An Vo, Vadim Sheinin

CoRR, 2023

2022

Tackling Temporal Questions in Natural Language Interface to Databases.

Ngoc Phuoc An Vo, Octavian Popescu, Irene Manotas, Vadim Sheinin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL.

Octavian Popescu, Irene Manotas, Ngoc Phuoc An Vo, Hangu Yeo, Elahe Khorashani, Vadim Sheinin

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Natural Language Interface for Process Mining Queries in Healthcare.

Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Irene Manotas, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos

Proceedings of the IEEE International Conference on Big Data, 2022

2021

SECRET: Semantically Enhanced Classification of Real-World Tasks.

Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha

IEEE Trans. Computers, 2021

Recognizing and Splitting Conditional Sentences for Automation of Business Processes Management.

Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu, Algimantas Cerniauskas, Vadim Sheinin

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020

LiMiT: The Literal Motion in Text Dataset.

Irene Manotas, Ngoc Phuoc An Vo, Vadim Sheinin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition.

Ngoc Phuoc An Vo, Irene Manotas, Vadim Sheinin, Octavian Popescu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Generative Policy Model for Connected and Autonomous Vehicles.

Daniel Cunnington, Irene Manotas, Mark Law, Geeth de Mel, Seraphin B. Calo, Elisa Bertino, Alessandra Russo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Generative Policies for Coalition Systems - A Symbolic Learning Framework.

Elisa Bertino, Graham White, Jorge Lobo, John Ingham, Gregory H. Cirincione, Alessandra Russo, Mark Law, Seraphin B. Calo, Irene Manotas, Dinesh C. Verma, Amani Abu Jabal, Daniel Cunnington, Geeth de Mel

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Exploring Evolutionary Search Strategies to Improve Applications' Energy Efficiency.

Irene Manotas, James Clause, Lori L. Pollock

Proceedings of the Search-Based Software Engineering - 10th International Symposium, 2018

Self-Generating Policies for Machine Learning in Coalition Environments.

Dinesh C. Verma, Seraphin B. Calo, Shonda Witherspoon, Irene Manotas, Elisa Bertino, Amani M. Abu Jabal, Greg Cirincione, Ananthram Swami, Gavin Pearson, Geeth de Mel

Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

AGENP: An ASGrammar-based GENerative Policy Framework.

Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino

Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

2016

An empirical study of practitioners' perspectives on green software engineering.

Irene Manotas, Christian Bird, Rui Zhang, David C. Shepherd, Ciera Jaspan, Caitlin Sadowski, Lori L. Pollock, James Clause

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data.

Rui Zhang, Irene Manotas, Min Li, Dean Hildebrand

Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015