Diman Ghazi


2021

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Development of an Enterprise-Grade Contract Understanding System
Arvind Agarwal | Laura Chiticariu | Poornima Chozhiyath Raman | Marina Danilevsky | Diman Ghazi | Ankush Gupta | Shanmukha Guttula | Yannis Katsis | Rajasekar Krishnamurthy | Yunyao Li | Shubham Mudgal | Vitobha Munigala | Nicholas Phan | Dhaval Sonawane | Sneha Srinivasan | Sudarshan R. Thitte | Mitesh Vasa | Ramiya Venkatachalam | Vinitha Yaski | Huaiyu Zhu
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers

Contracts are arguably the most important type of business documents. Despite their significance in business, legal contract review largely remains an arduous, expensive and manual process. In this paper, we describe TECUS: a commercial system designed and deployed for contract understanding and used by a wide range of enterprise users for the past few years. We reflect on the challenges and design decisions when building TECUS. We also summarize the data science life cycle of TECUS and share lessons learned.

2012

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Prior versus Contextual Emotion of a Word in a Sentence
Diman Ghazi | Diana Inkpen | Stan Szpakowicz
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

2010

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Hierarchical versus Flat Classification of Emotions in Text
Diman Ghazi | Diana Inkpen | Stan Szpakowicz
Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text