no code implementations • 15 Sep 2023 • Meryem M'hamdi, Jonathan May, Franck Dernoncourt, Trung Bui, Seunghyun Yoon
Our approach leverages meta-distillation learning based on MAML, an optimization-based Model-Agnostic Meta-Learner.
1 code implementation • 23 May 2022 • Meryem M'hamdi, Xiang Ren, Jonathan May
The longstanding goal of multi-lingual learning has been to develop a universal cross-lingual model that can withstand the changes in multi-lingual data distributions.
1 code implementation • NAACL 2021 • Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May
We extensively evaluate our framework on two challenging cross-lingual NLU tasks: multilingual task-oriented dialog and typologically diverse question answering.
no code implementations • 23 Mar 2019 • Meryem M'hamdi, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat
In particular, we test the hypothesis that embeddings with context are more effective, by multi-tasking the learning of multilingual word embeddings and text classification; we explore neural architectures for CLTC; and we move from bi- to multi-lingual word embeddings.
1 code implementation • CONLL 2018 • Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat
To this end, we crowdsource and publish a dataset of churn intent expressions in chatbot interactions in German and English.