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05/19/2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Data scarcity is a crucial issue for the development of highly multiling...
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11/04/2022
CLSE: Corpus of Linguistically Significant Entities
One of the biggest challenges of natural language generation (NLG) is th...
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10/04/2022
Mining Duplicate Questions of Stack Overflow
There has a been a significant rise in the use of Community Question Ans...
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03/21/2022
XTREME-S: Evaluating Cross-lingual Speech Representations
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingu...
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10/16/2021
Improving Compositional Generalization with Self-Training for Data-to-Text Generation
Data-to-text generation focuses on generating fluent natural language re...
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07/09/2021
Using Machine Translation to Localize Task Oriented NLG Output
One of the challenges in a task oriented natural language application li...
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06/16/2021
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets
Machine learning approaches applied to NLP are often evaluated by summar...
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06/03/2021
nmT5 – Is parallel data still relevant for pre-training massively multilingual language models?
Recently, mT5 - a massively multilingual version of T5 - leveraged a uni...
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05/28/2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Most widely-used pre-trained language models operate on sequences of tok...
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10/22/2020
mT5: A massively multilingual pre-trained text-to-text transformer
The recent "Text-to-Text Transfer Transformer" (T5) leveraged a unified ...
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05/21/2020
Text-to-Text Pre-Training for Data-to-Text Tasks
We study the pre-train + fine-tune strategy for data-to-text tasks. Fine...
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04/30/2020
Few-Shot Natural Language Generation by Rewriting Templates
Virtual assistants such as Google Assistant, Alexa and Siri enable users...
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04/05/2020
Machine Translation Pre-training for Data-to-Text Generation – A Case Study in Czech
While there is a large body of research studying deep learning methods f...
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04/05/2020
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation
We explore ways of incorporating bilingual dictionaries to enable semi-s...
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06/28/2019
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks
Pre-trained word embeddings are the primary method for transfer learning...
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12/04/2018
