NainiShah / News-Headline-GenerationLinks
Our goal is to implement text summarization by generating headline for a news body using recurrent neural networks. We attempt to reproduce the results in the paper: https://arxiv.org/pdf/1512.01712.pdf
☆32Updated 7 years ago
Alternatives and similar repositories for News-Headline-Generation
Users that are interested in News-Headline-Generation are comparing it to the libraries listed below
Sorting:
- Generates headline given a text of data☆23Updated 8 years ago
- News summarization using sequence to sequence model with attention in TensorFlow.☆189Updated 7 years ago
- Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into n…☆187Updated 6 years ago
- A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.☆82Updated 7 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆170Updated 7 years ago
- A seq2seq model that can generate summaries from fine food reviews on Amazon.☆233Updated 8 years ago
- DAANet: Dual Ask-Answer Network for Machine Reading Comprehension☆144Updated 7 years ago
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆158Updated 6 years ago
- Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews☆132Updated 8 years ago
- Sentiment Analysis: Deep Bi-LSTM+attention model☆45Updated 3 years ago
- Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.☆97Updated 4 years ago
- Extracting all the features of a product from its reviews, giving every feature a score (depending on the user reviews) and also ranking …☆46Updated 5 years ago
- Python Framework for Extractive Text Summarization☆113Updated 4 years ago
- A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.☆67Updated 9 years ago
- PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment☆107Updated 7 years ago
- Extractive Text Summarization Using LDA For Topic Modeling☆41Updated 9 years ago
- A sequence to sequence model for abstractive text summarization☆78Updated 8 years ago
- This repository uses pretrain BERT embeddings for transfer learning in QA domain☆29Updated 7 years ago
- Long(er) text representation and classification using Doc2Vec embeddings☆109Updated last year
- Awesome-Text-Classification Projects,Papers,Tutorial .☆174Updated 8 years ago
- Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in …☆131Updated 6 years ago
- Text Classification by Convolutional Neural Network in Keras☆219Updated 8 years ago
- Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.☆168Updated 6 years ago
- Load GPT-2 checkpoint and generate texts☆127Updated 4 years ago
- Transfer Learning for NLP Tasks☆55Updated 7 years ago
- A bidirectional LSTM with attention for multiclass/multilabel text classification.☆173Updated last year
- Document Similarity using Word2Vec☆101Updated 3 years ago
- Aspect-Based Sentiment Analysis Experiments☆133Updated 7 years ago
- The implementation of text classification using character level convoultion neural networks using Keras☆149Updated 2 years ago
- Extraction of the five journalistic W-questions (5W) from news articles☆19Updated 7 years ago