Papers by Tom Roth

2 papers
XVD: Cross-Vocabulary Differentiable Training for Generative Adversarial Attacks (2024.lrec-main)

Copied to clipboard

Challenge: Existing approaches to create adversarial examples using tokens are not sufficient to ensure other desirable properties such as similarity to non-adversarial examples, linguistic fluency, and so forth.
Approach: They propose a method which leverages a set of pretrained language models to promote similarity to non-adversarial examples, linguistic fluency, and so forth.
Outcome: The proposed approach outperforms existing methods and is competitive with token-based approaches.
CogCompNLP: Your Swiss Army Knife for NLP (L18-1)

Copied to clipboard

Challenge: a corpus-reader module supports popular corpora, feature extraction and annotation modules for semantic and syntactic tasks.
Approach: They propose a library that provides modules to address different challenges . they provide a corpus-reader module that supports popular corpora in the NLP community .
Outcome: The proposed library simplifies the process of design and development of NLP applications by providing modules to address different challenges.

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