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Abstractive Text Summarization

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평가표: 20
보존된 평가 기록: 98

Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.

Source: Generative Adversarial Network for Abstractive Text Summarization

Image credit: Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ElmiraGhorbani/Abstract-Text-Summarization

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

https://github.com/EmilioTyl/transformers_from_scratch

Attention Is All You Need

https://github.com/EncryptedBinary/Meta_analysis

Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education

https://github.com/Enigmatisms/Set-Transformer

Attention Is All You Need

https://github.com/EthanWYB/bert-classification

Attention Is All You Need

https://github.com/EugeneSel/EUMT

Attention Is All You Need

https://github.com/EuphoriaYan/bert_component

Attention Is All You Need

https://github.com/FaskyCC/TextClassification

Attention Is All You Need

https://github.com/FengJiaChunFromSYSU/Bert

Attention Is All You Need

https://github.com/Flo-tyna/Biomedical-Text-Summarizer

Text Summarization with Pretrained Encoders

https://github.com/FlorianPfisterer/2D-LSTM-Seq2Seq

Attention Is All You Need

https://github.com/Fuchai/language

Attention Is All You Need

https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction

Attention Is All You Need

https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction-roBERTa-5fold

Attention Is All You Need

https://github.com/Gaozhen0816/BERT_QA_For_AILaw

Attention Is All You Need

https://github.com/Gaozhen0816/BERT_QA_for_Chinese

Attention Is All You Need

https://github.com/Glaceon31/Document-Transformer

Attention Is All You Need

https://github.com/GlassyWing/transformer-keras

Attention Is All You Need

https://github.com/HHousen/TransformerSum

Text Summarization with Pretrained Encoders

https://github.com/HKUST-KnowComp/R-Net

Attention Is All You Need

https://github.com/HanhaiNotHai/transformer

Attention Is All You Need

https://github.com/Harry-Muzart/harry-muzart.github.io

Attention Is All You Need

https://github.com/Helsinki-NLP/shared-info

Attention Is All You Need

https://github.com/HeshamElAbd/SelfAttentionLangModel

Attention Is All You Need

https://github.com/Hmkhalla/NLP-summarizer

A Deep Reinforced Model for Abstractive Summarization

https://github.com/HomebrewNLP/HomebrewNLP-Jax/blob/main/inference.py

Locally Typical Sampling

https://github.com/HsuWanTing/unified-summarization

A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss

https://github.com/HzcIrving/DeepLearning_PlayGround

Attention Is All You Need

https://github.com/IBM/pytorch-seq2seq

Attention Is All You Need

https://github.com/IOB-Muenster/TEclass2

Attention Is All You Need

https://github.com/IlyaGusev/summarus

Deep Reinforcement Learning For Sequence to Sequence Models

https://github.com/IrishCoffee/cudnnMultiHeadAttention

Attention Is All You Need

https://github.com/Iwontbecreative/Abstractive-summarization-OpenNMT

Get To The Point: Summarization with Pointer-Generator Networks

https://github.com/Izecson/saml-nmt

Attention Is All You Need

https://github.com/Izecson/sockeye-1.16.6

Attention Is All You Need

https://github.com/JNUpython/bert

Attention Is All You Need

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