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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 401–450 of 555 papers

TitleStatusHype
KILDST: Effective Knowledge-Integrated Learning for Dialogue State Tracking using Gazetteer and Speaker Information—0
Knowledge Based Machine Reading Comprehension—0
Know your tools well: Better and faster QA with synthetic examples—0
KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension—0
Label Dependent Deep Variational Paraphrase Generation—0
Learning to Ask Unanswerable Questions for Machine Reading Comprehension—0
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training—0
Learning to Generate Questions by Recovering Answer-containing Sentences—0
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension—0
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification—0
Listening Comprehension over Argumentative Content—0
Logic Pre-Training of Language Models—0
Low-Resource Generation of Multi-hop Reasoning Questions—0
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension—0
Machine Reading Comprehension: a Literature Review—0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots—0
Machine Reading Comprehension: Generative or Extractive Reader?—0
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network—0
Machine Reading Comprehension using Case-based Reasoning—0
Machine Reading Comprehension with Enhanced Linguistic Verifiers—0
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition—0
Making Neural Machine Reading Comprehension Faster—0
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension—0
MC\^2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension—0
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension—0
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller—0
面向机器阅读理解的高质量藏语数据集构建(Construction of High-quality Tibetan Dataset for Machine Reading Comprehension)—0
Modeling Context in Answer Sentence Selection Systems on a Latency Budget—0
ET5: A Novel End-to-end Framework for Conversational Machine Reading ComprehensionCode0
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes FromCode0
Single-Sentence Reader: A Novel Approach for Addressing Answer Position BiasCode0
U-Net: Machine Reading Comprehension with Unanswerable QuestionsCode0
Question Directed Graph Attention Network for Numerical Reasoning over TextCode0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
Sogou Machine Reading Comprehension ToolkitCode0
SQL Generation via Machine Reading ComprehensionCode0
Evidence Sentence Extraction for Machine Reading ComprehensionCode0
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading ComprehensionCode0
Explaining Interactions Between Text SpansCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
What Makes Reading Comprehension Questions Easier?Code0
Stochastic Answer Networks for Machine Reading ComprehensionCode0
EQuANt (Enhanced Question Answer Network)Code0
Entity-Relation Extraction as Multi-Turn Question AnsweringCode0
Dice Loss for Data-imbalanced NLP TasksCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehensionCode0
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading ComprehensionCode0
English Machine Reading Comprehension Datasets: A SurveyCode0
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