DSAIL@SKKU
Summer Seminar - Story Generation
2022.
스토리 생성 테스크 관련 연구들을 살펴봅니다. 아래 논문들은 추가 검수 후 변경될 수 있습니다.
Readling List
인용많음 - [commonsense] A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (NAACL, 2016) [⭐️blog link]
인용많음 - [event] Event Representations for Automated Story Generation with Deep Neural Nets (AAAI, 2018) [⭐️blog link]
[Storyline planing] Plan-and-write: Towards better automatic storytelling (AAAI, 2019) [⭐️blog link]
인용많음 - Strategies for structuring story generation (ACL, 2019) [⭐️blog link]
[event] Story Realization: Expanding Plot Events into Sentences. (AAAI, 2020) [⭐️blog link]
[Stroy ending generation task] Toward Better Storylines with Sentence-Level Language Models (ACL, 2020) [⭐️blog link]
[Stroy ending generation task] Story Ending Generation with Incremental Encoding and Commonsense Knowledge. (AAAI, 2019)
[Story ending generation] Story ending generation with multi-level graph convolutional networks over dependency trees (AAAI, 2021)
Outline-Conditioned Generation with Dynamic Plot State Tracking (EMNLP, 2020)
[commonsense] Automated storytelling via causal, commonsense plot ordering (AAAI, 2021)
스토리 생성 테스크에서 특정 조건(gender, user input data… )이 포함된 논문들을 살펴봅니다.
Readling List
A Character-Centric Neural Model for Automated Story Generation (AAAI, 2020) [⭐️blog link]
MEGATRON-CNTRL: Controllable story generation with external knowledge using large-scale language models. (EMNLP, 2020) [⭐️blog link]
Stylized Story Generation with Style-Guided Planning (EMNLP Finding, 2021) [⭐️blog link]
- TL;DR: 주어진 emotion과 event를 조건으로 스토리를 생성하는 모델을 제안한 논문
Inducing Positive Perspectives with Text Reframing (ACL, 2022)**
Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies (ACL, 2022)
Genre-Controllable Story Generation via Supervised Contrastive Learning(WWW, 2022)
Reinforce Learning: How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds (NAACL, 2021)
Visual storytelling은 일련의 이미지가 주어졌을 때, 그에 상응하는 Stories for Images in Sequence를 생성하는 태스크입니다.
Readling List
Visual storytelling (NAACL, 2016)
[Graph-based representations][Storytelling from an Image Stream Using Scene Graphs] (AAAI, 2020)
[Bridging the visual gap][Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling] (AAAI, 2020)
[Clip-art dataset][AESOP: Abstract Encoding of Stories, Objects, and Pictures] (ICCV, 2021)
[Diversity incresing][Commonsense knowledge aware concept selection for diverse and informative visual storytelling](https://ojs.aaai.org/index.php/AAAI/article/view/16184) (AAAI, 2021)
[Human ranking dataset&metric][Learning to Rank Visual Stories from Human Ranking Data] (ACL, 2022)
Story generation 논문들 찾다가 익숙한 이름들 발견! 정말 너무 반갑네요!! 다들 정말 열심히 스터디 하셨군요 역시 울 연구실 멋쟁이들!!💙