Papers with Code 아카이브
Story Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 5
- 보존된 평가 기록
- 5
Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deepmind/haiku
https://github.com/deepmipt/bert/tree/feat/multi_gpu
https://github.com/demelin/nematode
https://github.com/derylucio/Transformer
https://github.com/dgonzalez-ri/neural-visual-storyteller
https://github.com/dhiraa/tener
https://github.com/dig-team/hanna-benchmark-asg
https://github.com/dl-nlp/dl-nlp.github.io
https://github.com/dmlc/gluon-nlp
https://github.com/dojoteef/storium-frontend
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
https://github.com/dqqcasia/st
https://github.com/dreamgonfly/Transformer-pytorch
https://github.com/dreamnotover/english_chinese_machine_translation_baseline
https://github.com/drumpt/Transformer
https://github.com/duyunshu/bert-sentiment-analysis
https://github.com/dyq0811/EEG-Transformer-seq2seq
https://github.com/dzqjorking/transpose
https://github.com/eaplatanios/symphony-mt
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/eleanorye00/Gamifier
https://github.com/emanuele-progr/PSSP
https://github.com/enhuiz/torchnmt
https://github.com/enhuiz/transformer-pytorch
https://github.com/eric-xw/AREL
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
https://github.com/ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder
https://github.com/ethan5437/PR-VIST
Plot and Rework: Modeling Storylines for Visual Storytelling
https://github.com/ethancaballero/neural-engineers-first-attempt
https://github.com/eunseo1092/Graduation_project
https://github.com/ewdowiak/Sicilian_Translator
https://github.com/exa-labs/exa-mcp-server
https://github.com/extensive-nlp/TSAI-DeepNLP-END2.0
https://github.com/facebookresearch/fairseq
https://github.com/facebookresearch/xformers
https://github.com/faizansuhail89/bert
https://github.com/fanchenyou/transformer-study
https://github.com/fancyerii/bert
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.