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 291–300 of 555 papers

TitleStatusHype
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings—0
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual TransferCode0
Does Structure Matter? Encoding Documents for Machine Reading Comprehension—0
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering—0
THG: Transformer with Hyperbolic Geometry—0
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension—0
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models—0
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese—0
Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction—0
Show:102550
← PrevPage 30 of 56Next →

No leaderboard results yet.