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Sentence Compression
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Sentence Compression is the task of reducing the length of text by removing non-essential content while preserving important facts and grammaticality.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Stareru/NeighboringDistributionDivergence
공식 코드Contextualized Semantic Distance between Highly Overlapped Texts
https://github.com/UKPLab/arxiv2021-evaluation-discrepancy-nsc
공식 코드Evaluation Discrepancy Discovery: A Sentence Compression Case-study
https://github.com/bcmi220/esc4nmt
공식 코드Explicit Sentence Compression for Neural Machine Translation
https://github.com/cbaziotis/seq3
공식 코드https://github.com/complementizer/rl-sentence-compression
공식 코드Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
https://github.com/kamigaito/SLAHAN
공식 코드Syntactically Look-Ahead Attention Network for Sentence Compression
https://github.com/salesforce/compedit
공식 코드Improving Factual Consistency in Summarization with Compression-Based Post-Editing
https://github.com/seongminp/graph-dialogue-summary
공식 코드Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
https://github.com/yxuansu/NAG-BERT
공식 코드Non-Autoregressive Text Generation with Pre-trained Language Models
https://github.com/zphang/usc_dae
공식 코드Unsupervised Sentence Compression using Denoising Auto-Encoders
https://github.com/Tixierae/gow_tools
https://github.com/XingxingZhang/dress
https://github.com/bearblog/CoreRank
https://github.com/tensorflow/models/tree/master/research/syntaxnet
https://github.com/xcfcode/Summarization-Papers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.