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 451–460 of 555 papers

TitleStatusHype
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language ModelsCode0
Dataset for the First Evaluation on Chinese Machine Reading ComprehensionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
From Dataset Recycling to Multi-Property Extraction and BeyondCode0
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on NovelsCode0
EMBRACE: Evaluation and Modifications for Boosting RACECode0
Stochastic Answer Networks for SQuAD 2.0Code0
Data Augmentation for Biomedical Factoid Question AnsweringCode0
Show:102550
← PrevPage 46 of 56Next →

No leaderboard results yet.