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awesome-text-summarization
The guide to tackle with the Text Summarization
https://github.com/icoxfog417/awesome-text-summarization
- 2 - headed. On the other hand, the headlines and 3-line summaries in the newspaper helps us.
- TextRank
- PageRank - robin table). We can convert this matrix to transition probability matrix by dividing the sum of links in each page. And the page surfer moves the page according to this matrix.
- LexRank - modified Cosine similarity).
- gensim
- pytextrank
- Sentence Extraction Based Single Document Summarization
- Luhn’s Algorithm
- TextTeaser
- SummaRuNNer
- Text summarization using Latent Semantic Analysis
- gensim models.lsimodel
- Title Generation with Quasi-Synchronous Grammar
- A Survey on Neural Network-Based Summarization Methods
- Banko et al. (2000)
- The summarization model that used encoder-decoder model first - of-the-art on the two sentence-level summarization dataset, DUC-2004 and Gigaword.
- Text summarization with TensorFlow
- Computer, respond to this email
- A Neural Attention Model for Sentence Summarization
- Implementation
- Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
- On Using Very Large Target Vocabulary for Neural Machine Translation
- Get To The Point: Summarization with Pointer-Generator Networks
- Implementation
- A Deep Reinforced Model for Abstractive Summarization
- Your tldr by an ai: a deep reinforced model for abstractive summarization
- Weber et al. (2018) - generator model heavily depends on a "copy" (pointer) at test time.
- Weber et al. (2018)
- Generating Wikipedia by Summarizing Long Sequences
- Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models
- Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
- BERT
- Fine-tune BERT for Extractive Summarization
- Pretraining-Based Natural Language Generation for Text Summarization
- Fine-tune BERT for Extractive Summarization
- Pretraining-Based Natural Language Generation for Text Summarization
- DUC 2004
- Opinosis Dataset - Topic related review sentences
- 17 Timelines
- Legal Case Reports Data Set
- Annotated English Gigaword
- CNN/Daily Mail dataset
- here
- CORNELL NEWSROOM
- gensim
- `gensim.summarization`
- `gensim models.lsimodel`
- pytextrank
- TextTeaser
- PyTeaser
- TensorFlow summarization
- sumeval
- Automatic summarization
- Text summarization with TensorFlow
- Your tl;dr by an ai: a deep reinforced model for abstractive summarization
- Automatic summarization - 3):103–233, 2011.
- Automatic summarizing: factors and directions
- A Survey on Neural Network-Based Summarization Methods
- Textrank: Bringing order into texts
- LexRank: graph-based lexical centrality as salience in text summarization - 479, July 2004.
- Sentence Extraction Based Single Document Summarization
- Automatic creation of literature abstracts - 165, 1958.
- Text summarization using Latent Semantic Analysis - 417, aug 2011.
- Title generation with quasi-synchronous grammar - 523, October 09-11, 2010.
- SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
- Headline Generation Based on Statistical Translation
- A Neural Attention Model for Abstractive Sentence Summarization
- GitHub
- Abstractive sentence summarization with attentive recurrent neural networks
- Abstractive text summarization using sequence-to-sequence RNNs and beyond
- On using very large target vocabulary for neural machine translation
- Get to the point: Summarization with pointergenerator networks
- GitHub
- Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
- A deep reinforced model for abstractive summarization
- Generating Wikipedia by Summarizing Long Sequences
- Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models
- Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
- TLDR: Extreme Summarization of Scientific Documents