https://github.com/craffel/mad
공식 코드Online and Linear-Time Attention by Enforcing Monotonic Alignments
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Generating a summary of a given sentence.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Online and Linear-Time Attention by Enforcing Monotonic Alignments
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Contrastive Attention Mechanism for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
A Regularized Framework for Sparse and Structured Neural Attention
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder
A Neural Attention Model for Abstractive Sentence Summarization
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
A Neural Attention Model for Abstractive Sentence Summarization
A Regularized Framework for Sparse and Structured Neural Attention
A Regularized Framework for Sparse and Structured Neural Attention
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.