Illinois Japanese \leftrightarrow English News Translation for WMT 2021

no code implementations • WMT (EMNLP) 2021 • Giang Le, Shinka Mori, Lane Schwartz

This system paper describes an end-to-end NMT pipeline for the Japanese \leftrightarrow English news translation task as submitted to WMT 2021, where we explore the efficacy of techniques such as tokenizing with language-independent and language-dependent tokenizers, normalizing by orthographic conversion, creating a politeness-and-formality-aware model by implementing a tagger, back-translation, model ensembling, and n-best reranking.

NMT Translation

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data

1 code implementation • 25 Mar 2024 • Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea

Using GPT-3, we develop HEADROOM, a synthetic dataset of 3, 120 posts about depression-triggering stressors, by controlling for race, gender, and time frame (before and after COVID-19).

Synthetic Data Generation

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models

no code implementations • 21 May 2023 • Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Veronica Perez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

Not surprisingly, this has, in turn, made many NLP researchers -- especially those at the beginning of their careers -- worry about what NLP research area they should focus on.