QASPER is a dataset for question answering on scientific research papers. It consists of 5,049 questions over 1,585 Natural Language Processing papers. Each ...

We're on a journey to advance and democratize artificial intelligence through open source and open science.

The main purpose of this model is to improve the robustness and efficiency of BERT when applied to incomplete data by reconstructing hidden embeddings from ...

QASPER is a dataset for question answering on scientific research papers. It consists of 5049 questions over 1585 Natural Language Processing papers.

We're on a journey to advance and democratize artificial intelligence through open source and open science.

We're on a journey to advance and democratize artificial intelligence through open source and open science.

The [official baseline model](https://github.com/allenai/qasper-led-baseline) currently achieves 33.63 Token F1 score & uses [Longformer](https://huggingface.co ...

We're on a journey to advance and democratize artificial intelligence through open source and open science.

25 янв. 2022 г. · We're on a journey to advance and democratize artificial intelligence through open source and open science.

7 мая 2021 г. · We therefore present QASPER, a dataset of 5,049 questions over 1,585 Natural Language Processing papers. ... Hugging Face (What is Huggingface?).