Four word embedding models implemented in Python. Supporting arbitrary context features
#自然语言处理#自然语言处理（NLP）教程，包括：词向量，词法分析，预训练语言模型，文本分类，文本语义匹配，信息抽取，翻译，对话。
#自然语言处理#Pre-trained models and language resources for Natural Language Processing in Polish
#自然语言处理#One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
#计算机科学#TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Depen...
Word Embedding + LSTM + FC
#自然语言处理#Deep contextualized word representations for Chinese
#计算机科学#Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
#计算机科学#A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Dead simple games made with word vectors.
Expose a Top2Vec model with a REST API.
#自然语言处理#Library for Korean morpheme and word vector representation
#计算机科学#Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
#计算机科学#Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Revised Version of SAT Model in "Improved Word Representation Learning with Sememes"