sentence2vec

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Sentence2Vec based on Word2Vec, written in Python

Dataset and scripts for scraping the news articles from popular sources along with the summary of the article.

Deep sentence embedding using Sequence to Sequence learning

This repo contains the code and results for reproducing the results in the paper: A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS

Language independent sentiment analysis

This tool provides some implementations of sentence to vector. (sentence2vec)

Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks

Representation Learning for Natural Language Processing include word ,sentence and document

Gensim\Word2vec\NLP\Similarity ⚡⚡

This repository is made in lieu of submission towards the solution of problem statement 2 of the OPEN AI NLP hackathon. The objective here is to classify the voice recordings of a call center proceeding by treating them as consumer complaints into the said categories of the automotive industry

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Extrative generation on News from XinHua Net.