activity
20172022
most citedAn Overview of Multi-Task Learning in Deep Neural Networks

2.4k citations · 2.8k across the 17 of their papers we have counts for

collaborators

40 papers

cs.CL20223 cited

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42

African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…

cs.CL20223 cited

TaTa: A Multilingual Table-to-Text Dataset for African Languages

Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev +4

Existing data-to-text generation datasets are mostly limited to English. To address this lack of data, we create Table-to-Text in African languages (TaTa), the first large multilin…

cs.CL202254 cited

Language Models are Multilingual Chain-of-Thought Reasoners

Freda Shi, Mirac Suzgun, Markus Freitag +9

We evaluate the reasoning abilities of large language models in multilingual settings. We introduce the Multilingual Grade School Math (MGSM) benchmark, by manually translating 250…

cs.CL20221 cited

XTREME-S: Evaluating Cross-lingual Speech Representations

Alexis Conneau, Ankur Bapna, Yu Zhang +16

We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classif…

cs.CL2022

Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation

Xinyi Wang, Sebastian Ruder, Graham Neubig

The performance of multilingual pretrained models is highly dependent on the availability of monolingual or parallel text present in a target language. Thus, the majority of the wo…

cs.CL202213 cited

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

Alham Fikri Aji, Genta Indra Winata, Fajri Koto +9

NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects. Focusing on the languages spoken in Indonesia,…