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 426–450 of 555 papers

TitleStatusHype
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension—0
Ask to Learn: A Study on Curiosity-driven Question Generation—0
Dice Loss for Data-imbalanced NLP TasksCode0
Coreference Resolution as Query-based Span PredictionCode1
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network—0
Relation Module for Non-Answerable Predictions on Reading Comprehension—0
Improving Pre-Trained Multilingual Model with Vocabulary Expansion—0
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks—0
BLCU-NLP at COIN-Shared Task1: Stagewise Fine-tuning BERT for Commonsense Inference in Everyday Narrations—0
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations—0
On Making Reading Comprehension More Comprehensive—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading ComprehensionCode0
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension—0
Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior—0
A Unified MRC Framework for Named Entity RecognitionCode1
Relation Module for Non-answerable Prediction on Question Answering—0
Why can't memory networks read effectively?—0
NumNet: Machine Reading Comprehension with Numerical ReasoningCode0
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on NovelsCode0
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference—0
基於BERT模型之多國語言機器閱讀理解研究(Multilingual Machine Reading Comprehension based on BERT Model)—0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Integrated Triaging for Fast Reading Comprehension—0
Improving Pre-Trained Multilingual Models with Vocabulary Expansion—0
Show:102550
← PrevPage 18 of 23Next →

No leaderboard results yet.