https://github.com/CornellNLP/ASQ
공식 코드Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives
Papers with Code 아카이브
Cloze Test
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 2
The cloze task refers to infilling individual words.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MC-BERT/MC-BERT
공식 코드MC-BERT: Efficient Language Pre-Training via a Meta Controller
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-1.0
공식 코드ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/TsinghuaAI/CPM-Generate
공식 코드CPM: A Large-scale Generative Chinese Pre-trained Language Model
https://github.com/VisualJoyce/ChengyuBERT
공식 코드A BERT-based Dual Embedding Model for Chinese Idiom Prediction
https://github.com/allenai/bi-att-flow
공식 코드https://github.com/andychiangsh/cdgp
공식 코드CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
https://github.com/chujiezheng/ChID-Dataset
공식 코드https://github.com/coastalcph/mozart
공식 코드Are Pretrained Multilingual Models Equally Fair Across Languages?
https://github.com/fardfh-lab/NL-Code-Adapter
공식 코드On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
https://github.com/leoleoasd/mlp-based-weighting
공식 코드Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question Answering
https://github.com/liufly/narrative-modeling
공식 코드Narrative Modeling with Memory Chains and Semantic Supervision
https://github.com/luyang-huang96/GraphAugmentedSum
공식 코드Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
https://github.com/microsoft/CodeXGLUE
공식 코드CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/oapandit/probBertForbridging
공식 코드Probing for Bridging Inference in Transformer Language Models
https://github.com/twitter-research/lmsoc
공식 코드https://github.com/uclanlp/ProbeGrammarRobustness
공식 코드On the Robustness of Language Encoders against Grammatical Errors
https://github.com/yuguangnudt/VEC_VAD
공식 코드Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
https://github.com/yuhangzang/contextdet
공식 코드Contextual Object Detection with Multimodal Large Language Models
https://github.com/zharry29/wikihow-goal-step
공식 코드Reasoning about Goals, Steps, and Temporal Ordering with WikiHow
https://github.com/2023-MindSpore-1/ms-code-219/tree/main/cpm
CPM: A Large-scale Generative Chinese Pre-trained Language Model
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/cpm
CPM: A Large-scale Generative Chinese Pre-trained Language Model
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/cpmbee
CPM: A Large-scale Generative Chinese Pre-trained Language Model
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/ernie_m
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Avmb/semantic_neq_game
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/Deepak-Work/Passage_Retrieval
https://github.com/ElizaLo/Question-Answering-based-on-SQuAD
https://github.com/FLoutione/CPM-mindspore
CPM: A Large-scale Generative Chinese Pre-trained Language Model
https://github.com/GauthierDmn/question_answering
https://github.com/LaiXinyi823/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Mind23-2/MindCode-100
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Mind23-2/MindCode-99
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindCode-4/code-3/tree/main/cpm
CPM: A Large-scale Generative Chinese Pre-trained Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.