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Extractive Question-Answering

Papers

Showing 5175 of 102 papers

TitleStatusHype
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering0
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models0
Tokenization Consistency Matters for Generative Models on Extractive NLP TasksCode0
Momentum Contrastive Pre-training for Question Answering0
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine ReaderCode0
DyREx: Dynamic Query Representation for Extractive Question AnsweringCode0
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering0
Are Sample-Efficient NLP Models More Robust?0
Findings of the VarDial Evaluation Campaign 2022Code0
Extractive Question Answering on Queries in Hindi and Tamil0
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers0
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.0
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks0
Stars at Qur’an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur’an with Transformer Models and Releasing a New Dataset0
Natural Questions in Icelandic0
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question AnsweringCode0
Science Checker: Extractive-Boolean Question Answering For Scientific Fact CheckingCode0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Breaking Character: Are Subwords Good Enough for MRLs After All?0
Improving Zero-Shot Event Extraction via Sentence Simplification0
Mosaic Augmentation for Text: Cropping and Collaging as Cross-Domain Techniques0
Cooperative Self-training of Machine Reading Comprehension0
Breaking Character: Are Subwords Good Enough for MRLs After All?0
Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions0
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