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Headline Generation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HLTCHKUST/sensational_headline
공식 코드Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
https://github.com/IlyaGusev/summarus
공식 코드Importance of Copying Mechanism for News Headline Generation
https://github.com/akabircs/belin
공식 코드BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
https://github.com/asahi-research/script-for-transformer-based-seq2bf
공식 코드https://github.com/chin-gyou/controllable-selection
공식 코드Select and Attend: Towards Controllable Content Selection in Text Generation
https://github.com/dadelani/AfriHG
공식 코드https://github.com/dayihengliu/KeyMultiHeadline
공식 코드Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
https://github.com/dialogue-evaluation/Russian-News-Clustering-and-Headline-Generation
공식 코드https://github.com/faisaltareque/XL-HeadTags
공식 코드https://github.com/gsarti/it5
공식 코드IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
https://github.com/ictmldm/FPG
공식 코드https://github.com/ictmldm/SCAPE
공식 코드Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation
https://github.com/jind11/TitleStylist
공식 코드Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
https://github.com/jsndg/emnlp23-llm-headline
공식 코드https://github.com/kaniblu/hanja-sisg
공식 코드Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
https://github.com/kaushal0494/ZmBART
공식 코드ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation
https://github.com/leshanbog/PreSumm
공식 코드Advances of Transformer-Based Models for News Headline Generation
https://github.com/ltrc/mukhyansh
공식 코드Mukhyansh: A Headline Generation Dataset for Indic Languages
https://github.com/ltrc/teclass
공식 코드TeClass: A Human-Annotated Relevance-based Headline Classification and Generation Dataset for Telugu
https://github.com/manga-uofa/nacc
공식 코드A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
https://github.com/mataney/APES
공식 코드Question Answering as an Automatic Evaluation Metric for News Article Summarization
https://github.com/mataney/APES-optimizer
공식 코드Question Answering as an Automatic Evaluation Metric for News Article Summarization
https://github.com/morningmoni/citesum
공식 코드https://github.com/nlp-titech/headline-entailment
공식 코드https://github.com/nttcslab-nlp/doc_lm
공식 코드https://github.com/pvop/clh3g
공식 코드Contrastive Learning enhanced Author-Style Headline Generation
https://github.com/rahular/varta
공식 코드Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages
https://github.com/ryanzhumich/AESLC
공식 코드This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
https://github.com/shin285/KOMORAN
공식 코드Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
https://github.com/sinhala-nlp/nsina
공식 코드https://github.com/sinhala-nlp/sinhala-headline-generation
공식 코드https://github.com/sinhala-nlp/sinhala-news-category-prediction
공식 코드https://github.com/sinhala-nlp/sinhala-news-media-identification
공식 코드https://github.com/sufenlp/stylebart
공식 코드https://github.com/timoschick/pet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.