SOTAVerified

Machine Reading Comprehension

Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, and then answer questions based on it.

Source: Making Neural Machine Reading Comprehension Faster

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 531–540 of 555 papers

TitleStatusHype
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task—0
ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task—0
YNU\_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding—0
Towards Inference-Oriented Reading Comprehension: ParallelQA—0
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification—0
BioRead: A New Dataset for Biomedical Reading ComprehensionCode0
Towards AMR-BR: A SemBank for Brazilian Portuguese Language—0
CliCR: A Dataset of Clinical Case Reports for Machine Reading ComprehensionCode0
Show:102550
← PrevPage 54 of 56Next →

No leaderboard results yet.