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Abstractive Text Summarization
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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.
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Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
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Get To The Point: Summarization with Pointer-Generator Networks
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https://github.com/atulkum/pointer_summarizer
Get To The Point: Summarization with Pointer-Generator Networks
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Get To The Point: Summarization with Pointer-Generator Networks
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.