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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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TitleStatusHype
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
Abstract, Rationale, Stance: A Joint Model for Scientific Claim VerificationCode0
SDNet: Contextualized Attention-based Deep Network for Conversational Question AnsweringCode0
Adaptive loose optimization for robust question answeringCode0
DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
Knowing-how & Knowing-that: A New Task for Machine Comprehension of User ManualsCode0
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented GraphsCode0
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and ResourcesCode0
Automatic Task Requirements Writing Evaluation via Machine Reading ComprehensionCode0
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