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Found 8 papers, 3 papers with code
The Lifted Matrix-Space Model for Semantic Composition
Tree-structured neural network architectures for sentence encoding draw inspiration from the approach to semantic composition generally seen in formal linguistics, and have shown empirical improvements over comparable sequence models by doing so.
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?
In this work, we investigate whether the learnability bias exhibited by children is in part due to the distribution of quantifiers in natural language.
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
We conclude that a variety of methods is necessary to reveal all relevant aspects of a model's grammatical knowledge in a given domain.
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLiMP), a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English.
Hammer PDF: An Intelligent PDF Reader for Scientific Papers
Specifically, taking a paper as a basic and separate unit, existing PDF Readers cannot access extended information about the paper, such as corresponding videos, blogs and codes.
