Cloze Test
28 papers with code • 2 benchmarks • 1 datasets
The cloze task refers to infilling individual words.
Most implemented papers
Bidirectional Attention Flow for Machine Comprehension
Machine comprehension (MC), answering a query about a given context paragraph, requires modeling complex interactions between the context and the query.
Improving Language Understanding by Generative Pre-Training
We demonstrate that large gains on these tasks can be realized by generative pre-training of a language model on a diverse corpus of unlabeled text, followed by discriminative fine-tuning on each specific task.
ERNIE: Enhanced Representation through Knowledge Integration
We present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration).
CPM: A Large-scale Generative Chinese Pre-trained Language Model
However, applying GPT-3 to address Chinese NLP tasks is still challenging, as the training corpus of GPT-3 is primarily English, and the parameters are not publicly available.
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Benchmark datasets have a significant impact on accelerating research in programming language tasks.
Large-scale Cloze Test Dataset Created by Teachers
Cloze tests are widely adopted in language exams to evaluate students' language proficiency.
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
Cloze-style reading comprehension in Chinese is still limited due to the lack of various corpora.
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test
The Story Cloze test is a recent effort in providing a common test scenario for text understanding systems.
Narrative Modeling with Memory Chains and Semantic Supervision
Story comprehension requires a deep semantic understanding of the narrative, making it a challenging task.
Chengyu Cloze Test
We present a neural recommendation model for Chengyu, which is a special type of Chinese idiom.