Search Results for author:
Found 5 papers, 2 papers with code
EXPATS: A Toolkit for Explainable Automated Text Scoring
Automated text scoring (ATS) tasks, such as automated essay scoring and readability assessment, are important educational applications of natural language processing.
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices
Currently, the biaffine classifier has been attracting attention as a method to introduce an attention mechanism into the modeling of binary relations.
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion
Embedding-based methods for knowledge base completion (KBC) learn representations of entities and relations in a vector space, along with the scoring function to estimate the likelihood of relations between entities.
Neural Tensor Networks with Diagonal Slice Matrices
Although neural tensor networks (NTNs) have been successful in many NLP tasks, they require a large number of parameters to be estimated, which often leads to overfitting and a long training time.
Adversarial Training for Cross-Domain Universal Dependency Parsing
We describe our submission to the CoNLL 2017 shared task, which exploits the shared common knowledge of a language across different domains via a domain adaptation technique.
