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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

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Showing 301–325 of 555 papers

TitleStatusHype
To Test Machine Comprehension, Start by Defining Comprehension—0
Towards AMR-BR: A SemBank for Brazilian Portuguese Language—0
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models—0
Towards Confident Machine Reading Comprehension—0
Towards Inference-Oriented Reading Comprehension: ParallelQA—0
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text—0
Towards Robust Neural Retrieval Models with Synthetic Pre-Training—0
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.—0
Transfer Learning Enhanced Single-choice Decision for Multi-choice Question Answering—0
Trigger-free Event Detection via Derangement Reading Comprehension—0
U3E: Unsupervised and Erasure-based Evidence Extraction for Machine Reading Comprehension—0
Uncertainty-Based Adaptive Learning for Reading Comprehension—0
Understanding Attention in Machine Reading Comprehension—0
Unsupervised Domain Adaptation on Question-Answering System with Conversation Data—0
Unsupervised Explanation Generation for Machine Reading Comprehension—0
Unsupervised Open-Domain Question Answering—0
Unsupervised Open-Domain Question Answering with Higher Answerability—0
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension—0
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models—0
Using calibrator to improve robustness in Machine Reading Comprehension—0
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension—0
View Dialogue in 2D: A Two-stream Model in Time-speaker Perspective for Dialogue Summarization and beyond—0
ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese—0
Visualizing attention zones in machine reading comprehension models—0
Visual Question Answering as Reading Comprehension—0
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