diegma

diegma.github.io

graph-2-text

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py

italian-word-analogy

Word analogy test file to evaluate Italian embeddings.

neural-dep-srl

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

relation-autoencoder

this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"

span-gcn

Code of the paper Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

trip-maml

Trip-MAML is a Multi-Aspect Multi-Lingual dataset for aspect-oriented opinion mining annotated at the sentence-level, consisting of Tripadvisor hotel reviews in English, Italian, and Spanish.

diegma/neural-dep-srl

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

diegma/graph-2-text

Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py

diegma/relation-autoencoder

this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"

diegma/span-gcn

Code of the paper Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

diegma/trip-maml

Trip-MAML is a Multi-Aspect Multi-Lingual dataset for aspect-oriented opinion mining annotated at the sentence-level, consisting of Tripadvisor hotel reviews in English, Italian, and Spanish.

diegma/diegma.github.io

diegma/italian-word-analogy

Word analogy test file to evaluate Italian embeddings.