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TitleStatusHype
TA-MAMC at SemEval-2021 Task 4: Task-adaptive Pretraining and Multi-head Attention for Abstract Meaning Reading Comprehension0
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators0
MedGPT: Medical Concept Prediction from Clinical Narratives0
Solving Machine Learning ProblemsCode0
Answering Chinese Elementary School Social Study Multiple Choice Questions0
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings0
PROST: Physical Reasoning of Objects through Space and TimeCode0
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization0
Enhancing Multiple-Choice Question Answering with Causal Knowledge0
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?Code0
Deep learning for sentence clustering in essay grading support0
Comparative Study of Learning Outcomes for Online Learning Platforms0
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning0
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation FrameworkCode0
On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text0
You Can Do Better! If You Elaborate the Reason When Making Prediction0
An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques0
Learning a Word-Level Language Model with Sentence-Level Noise Contrastive Estimation for Contextual Sentence Probability Estimation0
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation0
Confidence-Aware Learning Assistant0
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models0
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge0
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data0
E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study0
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge0
Looking Beyond Short-Premise Natural Language Inference for Downstream Tasks0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models0
Fine-tuning BERT with Focus Words for Explanation Regeneration0
Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas0
Automated Prediction of Examinee Proficiency from Short-Answer Questions0
A Novel Approach for Constrained Optimization in Graphical Models0
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base0
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests0
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments0
What do we expect from Multiple-choice QA Systems?0
Do Fine-tuned Commonsense Language Models Really Generalize?0
Unsupervised Explanation Generation for Machine Reading Comprehension0
Generating Correct Answers for Progressive Matrices Intelligence Tests0
Scene Restoring for Narrative Machine Reading Comprehension0
A Method for Building a Commonsense Inference Dataset based on Basic Events0
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention0
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering0
Differentiable Open-Ended Commonsense Reasoning0
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions0
Generating Adequate Distractors for Multiple-Choice Questions0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering0
Precise Task Formalization Matters in Winograd Schema EvaluationsCode0
Context Modeling with Evidence Filter for Multiple Choice Question Answering0
Meta Sequence Learning for Generating Adequate Question-Answer Pairs0
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