Search Results for author:
Found 12 papers, 5 papers with code
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
This resource is of great relevance for second language acquisition research, foreign-language teaching, and automatic grammatical error correction.
Intrinsic Knowledge Evaluation on Chinese Language Models
Recent NLP tasks have benefited a lot from pre-trained language models (LM) since they are able to encode knowledge of various aspects.
Quantum Inspired Word Representation and Computation
Word meaning has different aspects, while the existing word representation "compresses" these aspects into a single vector, and it needs further analysis to recover the information in different dimensions.
Self-Balanced Dropout
Dropout is known as an effective way to reduce overfitting via preventing co-adaptations of units.
An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language Learners
In this paper, we propose a novel testing strategy by combining automatic item generation (AIG) and computerized adaptive testing (CAT) in vocabulary assessment for Chinese L2 learners.
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View
Diachronic word embeddings have been widely used in detecting temporal changes.
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information
Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training.
Analogical Reasoning on Chinese Morphological and Semantic Relations
Analogical reasoning is effective in capturing linguistic regularities.
Initializing Convolutional Filters with Semantic Features for Text Classification
Convolutional Neural Networks (CNNs) are widely used in NLP tasks.
The Construction of a Chinese Collocational Knowledge Resource and Its Application for Second Language Acquisition
We define and classify collocations based on practical language acquisition needs and utilize a syntax based method to extract nine types of collocations.
