Stars
A library for sentiment analysis in dictionary framework.
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .
Sentiment Analysis on Twitter
Global-to-Local Neural Networks for Document-Level Relation Extraction, EMNLP 2020
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
A Collection of Variational Autoencoders (VAE) in PyTorch.
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021
Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).
Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Code for the paper: "Predict and Use Latent Patterns for Short-Text Conversation"
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
Re-implementation of BIMPM (Bilateral Multi-Perspective Matching for Natural Language Sentences, Zhiguo Wang et al.) on Pytorch.
This repository is the PyTorch implementation of our DocRE model with reconstruction in AAAI 2021 Paper "Document-Level Relation Extraction with Reconstruction".
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structur…
使用Bert，ERNIE，进行中文文本分类
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
💫 Models for the spaCy Natural Language Processing (NLP) library
Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.
[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Bert-based models(BERT, MTB, CP) for relation extraction.