14 citations · 25 across the 11 of their papers we have counts for
6 papers · 1 filter
Training Bilingual LMs with Data Constraints in the Targeted Language
Skyler Seto, Maartje ter Hoeve, Richard He Bai +2
Large language models are trained on massive scrapes of the web, as required by current scaling laws. Most progress is made for English, given its abundance of high-quality pretrai…
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning
Rita Ramos, Everlyn Asiko Chimoto, Maartje ter Hoeve +1
We introduce GrammaMT, a grammatically-aware prompting approach for machine translation that uses Interlinear Glossed Text (IGT), a common form of linguistic description providing…
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
Ali Mousavi, Xin Zhan, He Bai +9
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models t…
High-Resource Methodological Bias in Low-Resource Investigations
Maartje ter Hoeve, David Grangier, Natalie Schluter
The central bottleneck for low-resource NLP is typically regarded to be the quantity of accessible data, overlooking the contribution of data quality. This is particularly seen in…
UniParse: A universal graph-based parsing toolkit
Daniel Varab, Natalie Schluter
This paper describes the design and use of the graph-based parsing framework and toolkit UniParse, released as an open-source python software package. UniParse as a framework novel…
Baselines and test data for cross-lingual inference
Željko Agić, Natalie Schluter
The recent years have seen a revival of interest in textual entailment, sparked by i) the emergence of powerful deep neural network learners for natural language processing and ii)…