Ingvarstep

Categorical-word-embedding-with-GCN

GCN-based word embedding model, which utilizes information about the structure of sentences using dependencies parsing

ConvE

Convolutional 2D Knowledge Graph Embeddings resources

DeepPath

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

DeepPath_PyTorch

PyTorch Python3 implementation of the algorithm DeepPath

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

GLiNER.js

GLiNER inference in JavaScript

GLiNER.cpp

C++ inference engine for running GLiNER (Generalist and Lightweight Named Entity Recognition) models

LiqFit

Efficient few-shot learning with cross-encoders.

TurboT5

Truly flash T5 realization!

GLiNER

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Ingvarstep/ConvE

Convolutional 2D Knowledge Graph Embeddings resources

Ingvarstep/DeepPath

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

Ingvarstep/kg-reeval

ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

Ingvarstep/ptah

Information theory based approach for text classification, a very fast and robust method

Ingvarstep/R-BERT

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Ingvarstep/RAGAT

Ingvarstep/spodernet

NLP

Ingvarstep/TuckER

TuckER: Tensor Factorization for Knowledge Graph Completion

Ingvarstep/100-times-faster-nlp

🚀100 Times Faster Natural Language Processing in Python - iPython notebook