Stars
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
The implementation of Entity-based Narrative Graph (ENG)
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations
This repository provides the code and dataset for the work published in the paper - Modeling Label Semantics for Predicting Emotional Reactions
Graph Neural Network Library for PyTorch
Implementation of R-GCNs for Relational Link Prediction
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Python wrapper for Stanford CoreNLP's SUTime
Plugin to manage Most Recently Used (MRU) files
Visualize Stanford CoreNLP's dependency trees in Stanford CoreNLP with Spacy
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ACE 2005 corpus preprocessing for Event Extraction task
Event StoryLine Corpus - annotated data, baselines and evaluation scripts, evaluation data.
A flexible framework of neural networks for deep learning
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Python interface to CoreNLP using a bidirectional server-client interface.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
The WikiHow-based and DeScript-based datasets for the event prediction task (IJCNLP 2017)
A python tool for evaluating the quality of sentence embeddings.
Fast, flexible and easy to use probabilistic modelling in Python.