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 251–260 of 555 papers

TitleStatusHype
Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark—0
Know your tools well: Better and faster QA with synthetic examples—0
A Unified Abstractive Model for Generating Question-Answer Pairs—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Multi-tasking Dialogue Comprehension with Discourse ParsingCode0
A Study on Contextualized Language Modeling for Machine Reading Comprehension—0
Logic Pre-Training of Language Models—0
Analysing the Effect of Masking Length Distribution of MLM: An Evaluation Framework and Case Study on Chinese MRC Datasets—0
Interpretable Semantic Role Relation Table for Supporting Facts Recognition of Reading Comprehension—0
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering—0
Show:102550
← PrevPage 26 of 56Next →

No leaderboard results yet.