π Scalable embedding, reasoning, ranking for images and sentences with CLIP
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
Automnomously attempting a categorical summarization of a sparse, asymmetrical corpus in English language, by performing text classification - which is achieved by our intuitive sentence pair classification scenarios and usecases.
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
Gensim\Word2vec\NLP\Similarity β‘β‘
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
The "as" keyword in programming languages is commonly used for type conversion and type assertion operations. It allows developers to explicitly convert one data type to another or assert that an interface value holds a specific underlying data type.
Extrative generation on News from XinHua Net.
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
π Solve linear programming problems efficiently with Clp, an open-source library designed for developers and researchers seeking reliable solutions.
Add a description, image, and links to the sentence2vec topic page so that developers can more easily learn about it.
To associate your repository with the sentence2vec topic, visit your repo's landing page and select "manage topics."