awesome-text-summarization
The guide to tackle with the Text Summarization
https://github.com/icoxfog417/awesome-text-summarization
Last synced: 19 days ago
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Basic Approach
Abstractive
- A Neural Attention Model for Sentence Summarization
- Text summarization with TensorFlow
- Implementation
- The summarization model that used encoder-decoder model first - of-the-art on the two sentence-level summarization dataset, DUC-2004 and Gigaword.
- On Using Very Large Target Vocabulary for Neural Machine Translation
- A Neural Attention Model for Sentence Summarization
Extractive
- 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).
- Sentence Extraction Based Single Document Summarization
- gensim
- TextTeaser
- Title Generation with Quasi-Synchronous Grammar
- Luhn’s Algorithm
Combination Approach
Pointer-Generator Network
Resources
Articles
Datasets
- Legal Case Reports Data Set
- Annotated English Gigaword
- CNN/Daily Mail dataset
- CORNELL NEWSROOM
- here
- Legal Case Reports Data Set
- 17 Timelines
- DUC 2004
Libraries
Papers
- Automatic creation of literature abstracts - 165, 1958.
- SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
- Text summarization using Latent Semantic Analysis - 417, aug 2011.
- Title generation with quasi-synchronous grammar - 523, October 09-11, 2010.
- A Survey on Neural Network-Based Summarization Methods
- Headline Generation Based on Statistical Translation
- 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
- A deep reinforced model for abstractive summarization
- Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
- 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
- A Neural Attention Model for Abstractive Sentence Summarization
- TLDR: Extreme Summarization of Scientific Documents
Task Definition
- 2 - headed. On the other hand, the headlines and 3-line summaries in the newspaper helps us.