Papers by Sepideh Ghanavati

2 papers
Populating Legal Ontologies using Semantic Role Labeling (2020.lrec-1)

Copied to clipboard

Challenge: This paper is concerned with the ‘resource consumption bottleneck’ of creating semantic technologies manually.
Approach: They propose to combine general-purpose NLP modules with pre- and post-processing using rules based on domain knowledge to solve the acquisition paradox.
Outcome: The proposed system extracts norms from legislation and represents them as structured norms in legal ontologies.
Privacy-Preserving Natural Language Processing (2023.eacl-tutorials)

Copied to clipboard

Challenge: This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods.
Approach: This tutorial will help the NLP community to get familiar with current research in privacy-preserving methods.
Outcome: The tutorial will cover membership inference, differential privacy, homomorphic encryption, or federated learning, all with typical use-cases and potential pitfalls.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations