https://github.com/njunlp/SKER
공식 코드Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension
Papers with Code 아카이브
Machine Reading Comprehension
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Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, and then answer questions based on it.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nlp-anonymous-happy/anonymous-kg-guided-nlp
공식 코드https://github.com/nlpdata/evidence
공식 코드Evidence Sentence Extraction for Machine Reading Comprehension
https://github.com/nlpdata/strategy
공식 코드Improving Machine Reading Comprehension with General Reading Strategies
https://github.com/nttmdlab-nlp/VisualMRC
공식 코드https://github.com/nuochenpku/orca
공식 코드Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
https://github.com/nuochenpku/penguin
공식 코드Natural Response Generation for Chinese Reading Comprehension
https://github.com/ozyyshr/DGM
공식 코드Fact-driven Logical Reasoning for Machine Reading Comprehension
https://github.com/ozyyshr/focalreasoner
공식 코드Fact-driven Logical Reasoning for Machine Reading Comprehension
https://github.com/pefimov/cross-lingual-adjustment
공식 코드The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer
https://github.com/pfZhu/duma_code
공식 코드https://github.com/phdabel/robin
공식 코드RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading Comprehension
https://github.com/pluslabnlp/econet
공식 코드ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning
https://github.com/pluslabnlp/ester
공식 코드ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
https://github.com/rahular/ellipsis-baselines
공식 코드https://github.com/ranqiu92/NumNet
공식 코드NumNet: Machine Reading Comprehension with Numerical Reasoning
https://github.com/reml-group/alo
공식 코드https://github.com/rickltt/event_detection
공식 코드https://github.com/rifkiaputri/idk-mrc
공식 코드IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
https://github.com/ritual-uh/edustory
공식 코드https://github.com/rkadlec/asreader
공식 코드https://github.com/saptarshi059/cdqa-project
공식 코드Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings
https://github.com/saurabhhssaurabh/reviews_summarization
공식 코드MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization
https://github.com/schlevik/dataset-analysis
공식 코드A Framework for Evaluation of Machine Reading Comprehension Gold Standards
https://github.com/schlevik/sam
공식 코드Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
https://github.com/shannonai/mrc-srl
공식 코드https://github.com/sogou/SMRCToolkit
공식 코드https://github.com/sonlam1102/vicoqa-cmc
공식 코드Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
https://github.com/sonlam1102/vimmrc2
공식 코드A Multiple Choices Reading Comprehension Corpus for Vietnamese Language Education
https://github.com/sonlam1102/vlogqa
공식 코드VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
https://github.com/sonqt/single-sentence-reader
공식 코드Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias
https://github.com/tangjielong928/mqspn
공식 코드Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
https://github.com/thunlp-mt/dbkd-plm
공식 코드https://github.com/thunlp/moefication
공식 코드MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
https://github.com/vanh17/techqa
공식 코드Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading
https://github.com/vistec-ai/wangchanlion
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.