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 401–425 of 555 papers

TitleStatusHype
A Sentence Cloze Dataset for Chinese Machine Reading ComprehensionCode1
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair GenerationCode0
Benchmarking Machine Reading Comprehension: A Psychological Perspective—0
Graph Sequential Network for Reasoning over Sequences—0
TREC CAsT 2019: The Conversational Assistance Track OverviewCode1
A Framework for Evaluation of Machine Reading Comprehension Gold StandardsCode0
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
FQuAD: French Question Answering Dataset—0
ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningCode1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
Retrospective Reader for Machine Reading ComprehensionCode1
DUMA: Reading Comprehension with Transposition ThinkingCode1
A Study of the Tasks and Models in Machine Reading Comprehension—0
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension—0
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts—0
A Survey on Machine Reading Comprehension Systems—0
Dual Multi-head Co-attention for Multi-choice Reading Comprehension—0
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension—0
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension—0
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification—0
Label Dependent Deep Variational Paraphrase Generation—0
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets—0
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization—0
Improving Machine Reading Comprehension via Adversarial Training—0
Show:102550
← PrevPage 17 of 23Next →

No leaderboard results yet.