Papers by Brendan Shillingford

2 papers
Recovering Missing Characters in Old Hawaiian Writing (D18-1)

Copied to clipboard

Challenge: Modern Hawaiian orthography includes characters for long vowels and glottal stops . manual transliteration is laborious when performed manually .
Approach: They propose two methods to help transliterate Hawaiian between older and newer texts automatically using finite state transducers and a recurrent neural network language model.
Outcome: The proposed method solves the transliteration problem automatically using finite state transducers and a neural network language model.
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations (2020.acl-main)

Copied to clipboard

Challenge: a promising research direction consists of designing neural models capable of generating natural language explanations for their predictions.
Approach: They propose a framework for sanity checking models against inconsistent explanations . they apply the framework to a state-of-the-art neural natural language inference model .
Outcome: The proposed framework can generate inconsistent explanations on a state-of-the-art model . it also addresses the problem of adversarial attacks with full target sequences .

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