Multi-Choice MRC
5 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Multi-Choice MRC
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ExpMRC
Most implemented papers
DUMA: Reading Comprehension with Transposition Thinking
pfZhu/duma_code
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Multi-choice Machine Reading Comprehension (MRC) requires model to decide the correct answer from a set of answer options when given a passage and a question.
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
SparkJiao/Self-Training-MRC
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ACL 2020
Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor.
Reference Knowledgeable Network for Machine Reading Comprehension
yilin1111/reknet
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Thus we propose a novel reference-based knowledge enhancement model called Reference Knowledgeable Network (RekNet), which simulates human reading strategies to refine critical information from the passage and quote explicit knowledge in necessity.
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
ymcui/ExpMRC
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Achieving human-level performance on some of Machine Reading Comprehension (MRC) datasets is no longer challenging with the help of powerful Pre-trained Language Models (PLMs).
Lite Unified Modeling for Discriminative Reading Comprehension
yilin1111/poi-net
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ACL 2022
As a broad and major category in machine reading comprehension (MRC), the generalized goal of discriminative MRC is answer prediction from the given materials.
