Publications

Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset

Published in International Journal of Computational Geometry & Applications, 2022

This work explores how well large language models can solve creative problems by analyzing their performance on a dataset inspired by a quiz show segment that involves making connections between seemingly unrelated words.

Recommended citation: Naeini, Saeid and Saqur, Raeid and Saeidi, Mozhgan and Giorgi, John and Taati, Babak. (2023). " journal={journal={Advances in Neural Information Processing Systems}}, pages={100--130}, year={2023}, publisher={NeurIPS} Journal 1. 1(1). [https://arxiv.org/pdf/2109.14497.pdf](https://proceedings.neurips.cc/paper_files/paper/2023/file/11e3e0f1b29dcd31bd0952bfc1357f68-Paper-Datasets_and_Benchmarks.pdf)

Ruler Wrapping

Published in International Journal of Computational Geometry & Applications, 2022

This paper is about ruler wrapping problem.

Recommended citation: Gagie, Travis and Saeidi, Mozhgan and Sapucaia, Allan. (2022). " journal={International Journal of Computational Geometry \& Applications}, pages={1--10}, year={2022}, publisher={World Scientific} Journal 1. 1(1). https://arxiv.org/pdf/2109.14497.pdf

Biomedical Word Sense Disambiguation with Contextualized Representation Learning

Published in WWW, 2022

This paper is about using contextual representation learning when disambiguating biomedical text.

Recommended citation: Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2019). " Biomedical Word Sense Disambiguation with Contextualized Representation Learning." booktitle={Companion Proceedings of the Web Conference 2022}, pages={843--848}, year={2022} Journal 1. 1(1). https://dl.acm.org/doi/abs/10.1145/3487553.3524703

ContextBERT: Contextual Graph Representation Learning in Text Disambiguation

Published in PKDD, 2021

This paper is about solving word sense disambiguation task using graph convolutional networks.

Recommended citation: Saeidi, Mozhgan. (2021). " ContextBERT: Contextual Graph Representation Learning in Text Disambiguation." Booktitle: PKDD, Germany, September 16--20, 2019, Proceedings, Part II. pages={283--297}, year={2021}, organization={Springer} Journal 1. 1(1). https://ceur-ws.org/Vol-2997/paper2.pdf

Graph Convolutional Networks for Categorizing Online Harassment on Twitter

Published in ICMLA, 2021

This paper is about using a graph convolutional network in categorozong online harassment in twitter posts.

Recommended citation: Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2021). " booktitle={2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, pages={946--951}, year={2021}, organization={IEEE} Journal 1. 1(1). https://ieeexplore.ieee.org/abstract/document/9680133

Contextualized knowledge base sense embeddings in word sense disambiguation

Published in ICDAR, 2021

This paper is about the role of contextual embeddings in the word sense disambiguation task.

Recommended citation: Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2021). " booktitle={Document Analysis and Recognition--ICDAR 2021 Workshops: Lausanne, Switzerland, September 5--10, 2021, Proceedings, Part II 16}, pages={174--186}, year={2021}, organization={Springer} Journal 1. 1(3). https://link.springer.com/chapter/10.1007/978-3-030-86159-9_37

Graph representation learning in document wikification

Published in ICDAR, 2021

This paper is about Wikification task and how design a new embedding approach to improve the final results of Wikification.

Recommended citation: Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2021). " booktitle={Document Analysis and Recognition--ICDAR 2021 Workshops: Lausanne, Switzerland, September 5--10, 2021, Proceedings, Part II 16}, pages={509--524}, year={2021}, organization={Springer} Journal 1. 1(3). https://link.springer.com/chapter/10.1007/978-3-030-86159-9_37

Table of contents detection in financial documents

Published in COLING, 2020

This paper is about specific charactristics in detecting document structure.

Recommended citation: Kosmajac, Dijana and Saeidi, Mozhgan and Taylor, Stacey. (2020). "Table of contents detection in financial documents." booktitle={Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation}, pages={169--173}, year={2020} Journal 1. 1(2). https://aclanthology.org/2020.fnp-1.29/

Categorizing online harassment on Twitter

Published in ECML PKDD, 2019

This paper is about harassment on social media and how categorize it using machine learning and NLP techniques.

Recommended citation: Saeidi, Mozhgan and da S. Sousa, Samuel Bruno and Milios, Evangelos and Zeh, Norbert and Berton, Lilian. (2019). "Categorizing online harassment on Twitter." Booktitle: Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, W{\"u}rzburg, Germany, September 16--20, 2019, Proceedings, Part II. pages={283--297}, year={2020}, organization={Springer} Journal 1. 1(1). https://link.springer.com/chapter/10.1007/978-3-030-43887-6_22