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TitleStatusHype
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model—0
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE—0
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning—0
Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners—0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task—0
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze RewardCode1
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data—0
UnifiedQA: Crossing Format Boundaries With a Single QA SystemCode1
Improving the Production Efficiency and Well-formedness of Automatically-Generated Multiple-Choice Cloze Vocabulary Questions—0
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam—0
LifeQA: A Real-life Dataset for Video Question AnsweringCode1
Simulated Annealing Algorithm for the Multiple Choice Multidimensional Knapsack ProblemCode1
STARC: Structured Annotations for Reading ComprehensionCode1
Indirect Identification of Psychosocial Risks from Natural Language—0
Introducing a framework to assess newly created questions with Natural Language ProcessingCode0
Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions—0
Logic-Guided Data Augmentation and Regularization for Consistent Question AnsweringCode1
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the GapCode1
Unsupervised Commonsense Question Answering with Self-TalkCode1
DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction—0
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model—0
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
Dialogue-Based Simulation For Cultural Awareness Training—0
R2DE: a NLP approach to estimating IRT parameters of newly generated questionsCode1
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension—0
Strategyproof Mean Estimation from Multiple-Choice Questions—0
DMCL: Distillation Multiple Choice Learning for Multimodal Action RecognitionCode0
WIQA: A dataset for ``What if...'' reasoning over procedural text—0
Social IQa: Commonsense Reasoning about Social Interactions—0
Answering questions by learning to rank - Learning to rank by answering questions—0
Evaluating Question Answering Evaluation—0
Sentence Embeddings for Russian NLUCode0
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?—0
QASC: A Dataset for Question Answering via Sentence CompositionCode0
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning—0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach—0
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?—0
WIQA: A dataset for "What if..." reasoning over procedural textCode1
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
Answering questions by learning to rank -- Learning to rank by answering questions—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning—0
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning—0
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model—0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level—0
Multi-class Hierarchical Question Classification for Multiple Choice Science ExamsCode0
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