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Extractive Question-Answering

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TitleStatusHype
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyCode0
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models—0
Tokenization Consistency Matters for Generative Models on Extractive NLP TasksCode0
Momentum Contrastive Pre-training for Question Answering—0
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 Answering—0
Are Sample-Efficient NLP Models More Robust?—0
Findings of the VarDial Evaluation Campaign 2022Code0
Extractive Question Answering on Queries in Hindi and Tamil—0
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers—0
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 attacks—0
Stars at Qur’an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur’an with Transformer Models and Releasing a New Dataset—0
Natural Questions in Icelandic—0
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 Simplification—0
Mosaic Augmentation for Text: Cropping and Collaging as Cross-Domain Techniques—0
Cooperative Self-training of Machine Reading Comprehension—0
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 Questions—0
Block-Skim: Efficient Question Answering for TransformerCode0
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants—0
Semantic Search as Extractive Paraphrase Span DetectionCode0
Simulating Bandit Learning from User Feedback for Extractive Question Answering—0
Can Explanations Be Useful for Calibrating Black Box Models?—0
Delving Deep into Extractive Question Answering Data—0
On the Multilingual Capabilities of Very Large-Scale English Language Models—0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
Semantic Search as Extractive Paraphrase Span Detection—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Attention-guided Generative Models for Extractive Question Answering—0
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering—0
On the Multilingual Capabilities of Very Large-Scale English Language ModelsCode0
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models—0
A Robustly Optimized BERT Pre-training Approach with Post-training—0
ReasonBert: Pre-trained to Reason with Distant Supervision—0
Efficient Retrieval Optimized Multi-task Learning—0
Towards Confident Machine Reading Comprehension—0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System—0
Improving QA Generalization by Concurrent Modeling of Multiple BiasesCode0
Rethinking the Objectives of Extractive Question AnsweringCode0
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question AnsweringCode0
Multilingual Question Answering from Formatted Text applied to Conversational Agents—0
Gendered Pronoun Resolution using BERT and an extractive question answering formulationCode0
End-to-End Learning for Answering Structured Queries Directly over Text—0
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