Gensim\Word2vec\NLP\Similarity ⚡⚡
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Updated
Aug 21, 2018 - Python
Gensim\Word2vec\NLP\Similarity ⚡⚡
Extrative generation on News from XinHua Net.
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"
This tool provides some implementations of sentence to vector. (sentence2vec)
Language independent sentiment analysis
This repo contains the code and results for reproducing the results in the paper: A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS
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.
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Deep sentence embedding using Sequence to Sequence learning
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.
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
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
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