conference-paper Open access

Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA

  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Öz

Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional document, e.g., an introductory college textbook or a manual. PTLMs have shown great success in many question-answering tasks, given significant supervised training, but much less so in zero-shot settings. We propose a new task that includes two college-level introductory texts in the social sciences (American Government 2e) and humanities (U.S. History), hundreds of true/false statements based on review questions written by the textbook authors, validation/development tests based on the first eight chapters of the textbooks, blind tests based on the remaining textbook chapters, and baseline results given state-of-the-art PTLMs.

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Publication details

DOI
10.18653/v1/2021.emnlp-main.493
OpenAlex
W3199908710
Document type
conference-paper
Language
EN
Source
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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