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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 151–200 of 555 papers

TitleStatusHype
FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection—0
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets—0
An Effective Multi-Stage Approach For Question Answering—0
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation—0
Detecting Causes of Stock Price Rise and Decline by Machine Reading Comprehension with BERT—0
An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text—0
Evaluation of Dataset Selection for Pre-Training and Fine-Tuning Transformer Language Models for Clinical Question Answering—0
EveMRC: A Two-stage Evidence Modeling For Multi-choice Machine Reading Comprehension—0
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Attention-Guided Answer Distillation for Machine Reading Comprehension—0
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension—0
Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming—0
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Deep Understanding based Multi-Document Machine Reading Comprehension—0
Data Augmentation for Biomedical Factoid Question Answering—0
A Unified Abstractive Model for Generating Question-Answer Pairs—0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension—0
Developing Dataset of Japanese Slot Filling Quizzes Designed for Evaluation of Machine Reading Comprehension—0
Dialog State Tracking: A Neural Reading Comprehension Approach—0
Automatic Word Segmentation and Part-of-Speech Tagging of Ancient Chinese Based on BERT Model—0
DIFM:An effective deep interaction and fusion model for sentence matching—0
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking—0
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning—0
A Vietnamese Dataset for Evaluating Machine Reading Comprehension—0
A Survey on Neural Machine Reading Comprehension—0
2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval—0
Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications—0
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability—0
Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension—0
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
A New Entity Extraction Method Based on Machine Reading Comprehension—0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
Event Detection via Derangement Reading Comprehension—0
FQuAD: French Question Answering Dataset—0
Bi-directional CognitiveThinking Network for Machine Reading Comprehension—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
Feeding What You Need by Understanding What You Learned—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task—0
Effective Character-augmented Word Embedding for Machine Reading Comprehension—0
An Intelligent Recommendation-cum-Reminder System—0
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension—0
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets—0
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation—0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information—0
Analysing the Effect of Masking Length Distribution of MLM: An Evaluation Framework and Case Study on Chinese MRC Datasets—0
Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems—0
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