Papers Multi-Choice MRC
“Multi-Choice MRC” 태그가 달린 논문 9편 · 필터 해제
Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets
This paper provides a thorough examination of recent developments in the field of multi-choice Machine Reading Comprehension (MRC). Focused on benchmark datasets, methodologies, challenges, and future trajectories, our g…
Few-Shot LearningMachine Reading ComprehensionMulti-Choice MRCMultiple-choice+2Multi-grained Evidence Inference for Multi-choice Reading Comprehension
Multi-choice Machine Reading Comprehension (MRC) is a major and challenging task for machines to answer questions according to provided options. Answers in multi-choice MRC cannot be directly extracted in the given passa…
Machine Reading ComprehensionMulti-Choice MRCReading ComprehensionSentenceLite Unified Modeling for Discriminative Reading Comprehension
As a broad and major category in machine reading comprehension (MRC), the generalized goal of discriminative MRC is answer prediction from the given materials. However, the focuses of various discriminative MRC tasks may…
DecoderMachine Reading ComprehensionMulti-Choice MRCPOS+1EveMRC: A Two-stage Evidence Modeling For Multi-choice Machine Reading Comprehension
Many impressive works have been proposed to improve the performance of Machine Reading Comprehension (MRC) systems in recent years. However, it is still difficult to interpret the predictions of existing MRC models, whic…
Data AugmentationMachine Reading ComprehensionMulti-Choice MRCReading ComprehensionExpMRC: Explainability Evaluation for Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehension (MRC) datasets is no longer challenging with the help of powerful Pre-trained Language Models (PLMs). However, it is necessary to provide both an…
Machine Reading ComprehensionMulti-Choice MRCQuestion AnsweringReading Comprehension+1Reference Knowledgeable Network for Machine Reading Comprehension
Multi-choice Machine Reading Comprehension (MRC) as a challenge requires models to select the most appropriate answer from a set of candidates with a given passage and question. Most of the existing researches focus on t…
Machine Reading ComprehensionMulti-Choice MRCReading ComprehensionA Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor. The former seeks the most relevant infor…
Machine Reading ComprehensionMulti-Choice MRCQuestion AnsweringReading ComprehensionDUMA: Reading Comprehension with Transposition Thinking
Multi-choice Machine Reading Comprehension (MRC) requires model to decide the correct answer from a set of answer options when given a passage and a question. Thus in addition to a powerful Pre-trained Language Model (Pr…
Language ModelingLanguage ModellingMachine Reading ComprehensionMulti-Choice MRC+2Dual Multi-head Co-attention for Multi-choice Reading Comprehension
Multi-choice Machine Reading Comprehension (MRC) requires model to decide the correct answer from a set of answer options when given a passage and a question. Thus in addition to a powerful Pre-trained Language Model (Pr…
Language ModelingLanguage ModellingMachine Reading ComprehensionMulti-Choice MRC+2