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Proceedings of the Second Storytelling Workshop, Pages 1–10 Florence, Italy, August 1, 2019 ACL 2019 Storytelling Proceedings of the Second Workshop August 1, 2019 Florence, Italy c 2019 The Association for Computational Linguistics Order copies of this and other ACL proceedings from: Association for Computational Linguistics (ACL) 209 N. Eighth Street Stroudsburg, PA 18360 USA Tel: +1-570-476-8006 Fax: +1-570-476-0860 [email protected] ISBN 978-1-950737-44-4 ii Introduction Welcome to the second *ACL workshop on Storytelling! Human storytelling has existed for as far back as we can trace, and is thought to be fundamental to being human. Stories help share ideas, histories, and common ground. This workshop examines what storytelling is, its structure and components, and how it is expressed, with respect to state of the art in language and computation. Part of grounding artificial intelligence work in human experience can involve the generation, understanding, and sharing of stories. This workshop highlights the diverse work being done in storytelling and AI across different fields. Papers at this workshop are multi-disciplinary, including work on neural and linguistic approaches to understanding and generating stories in narrative texts, social media, and visual narratives. The second workshop of Storytelling received 22 submissions. We accepted 14 submissions into the proceedings, 6 of which were presented as oral presentations, and 8 as posters. We accepted 3 of the submitted papers as non-archival works to be presented during the poster session. We are pleased to host an invited talk from Melissa Roemmele. We hope you enjoy the workshop! The Storytelling Workshop Organizers iii Organizers: Francis Ferraro, University of Maryland Baltimore County Ting-Hao (Kenneth) Huang, Pennsylvania State University Stephanie M. Lukin, U.S. Army Research Laboratory Margaret Mitchell, Google Program Committee: Snigdha Chaturvedi*, University of California, Santa Cruz Elizabeth Clark, University of Washington David Elson, Google Drew Farris*, Booz Allen Hamilton Mark Finlayson*, Florida International University Jon Gillick, University of California, Berkeley Andrew Gordon, University of Southern California Daphne Ippolito*, University of Pennsylvania Anna Kasunic, Carnegie Mellon University Lun-Wei Ku*, Academia Sinica Boyang "Albert" Li*, Baidu Research Joao Magalhaes, Universidade Nova de Lisboa Ramesh Manuvinakurike*, University of Southern California Lara Martin, Georgia Institute of Technology Cynthia Matuszek*, University of Maryland Baltimore County Nanyun Peng, University of Southern California Eli Pincus*, University of Southern California Elahe Rahimtoroghi, Google Melissa Roemmele, SDL Mark Riedl, Georgia Institute of Technology Mariët Theune*, University of Twente An immense thank you to all our reviewers, especially these last-minute reviewers (*). We could not have put together our program without everyone’s help! Invited Speaker: Melissa Roemmele, SDL v Table of Contents Composing a Picture Book by Automatic Story Understanding and Visualization Xiaoyu Qi, Ruihua Song, Chunting Wang, Jin Zhou and Tetsuya Sakai . .1 "My Way of Telling a Story": Persona based Grounded Story Generation Khyathi Chandu, Shrimai Prabhumoye, Ruslan Salakhutdinov and Alan W Black . 11 Using Functional Schemas to Understand Social Media Narratives Xinru Yan, Aakanksha Naik, Yohan Jo and Carolyn Rose . 22 A Hybrid Model for Globally Coherent Story Generation Fangzhou Zhai, Vera Demberg, Pavel Shkadzko, Wei Shi and Asad Sayeed . 34 Guided Neural Language Generation for Automated Storytelling Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara Martin and Mark Riedl . 46 An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emotional Storytelling Evgeny Kim and Roman Klinger . 56 Narrative Generation in the Wild: Methods from NaNoGenMo Judith van Stegeren and Mariët Theune . 65 Lexical concreteness in narrative Michael Flor and Swapna Somasundaran . 75 A Simple Approach to Classify Fictional and Non-Fictional Genres Mohammed Rameez Qureshi, Sidharth Ranjan, Rajakrishnan Rajkumar and Kushal Shah . 81 Detecting Everyday Scenarios in Narrative Texts Lilian Diana Awuor Wanzare, Michael Roth and Manfred Pinkal . 90 Personality Traits Recognition in Literary Texts Daniele Pizzolli and Carlo Strapparava. .107 Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events Anietie Andy, Derry Tanti Wijaya and Chris Callison-Burch . 112 WriterForcing: Generating more interesting story endings Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani and Alan W Black . 117 Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models You Jin Kim, Yun Gyung Cheong and Jung Hoon Lee . 127 vii Conference Program Thursday, August 1, 2019 08:45–09:00 Opening Remarks Morning Session 1 09:00–10:00 Invited Talk Melissa Roemmele 10:00–10:30 Composing a Picture Book by Automatic Story Understanding and Visualization Xiaoyu Qi, Ruihua Song, Chunting Wang, Jin Zhou and Tetsuya Sakai 10:30–11:00 Morning Break Morning Session 2 11:00–11:30 "My Way of Telling a Story": Persona based Grounded Story Generation Khyathi Chandu, Shrimai Prabhumoye, Ruslan Salakhutdinov and Alan W Black 11:30–12:00 Using Functional Schemas to Understand Social Media Narratives Xinru Yan, Aakanksha Naik, Yohan Jo and Carolyn Rose 12:00–12:30 A Hybrid Model for Globally Coherent Story Generation Fangzhou Zhai, Vera Demberg, Pavel Shkadzko, Wei Shi and Asad Sayeed 12:30–14:00 Lunch Afternoon Session 14:00–14:30 Guided Neural Language Generation for Automated Storytelling Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara Martin and Mark Riedl 14:30–15:00 An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emo- tional Storytelling Evgeny Kim and Roman Klinger 15:00–15:30 Poster Lightning Talks 15:30–16:00 Afternoon Break ix Thursday, August 1, 2019 (continued) 16:00–17:30 Poster Session Adversarial Generation and Encoding of Nested Texts Alon Rozental Narrative Generation in the Wild: Methods from NaNoGenMo Judith van Stegeren and Mariët Theune Lexical concreteness in narrative Michael Flor and Swapna Somasundaran A Simple Approach to Classify Fictional and Non-Fictional Genres Mohammed Rameez Qureshi, Sidharth Ranjan, Rajakrishnan Rajkumar and Kushal Shah DREAMT - Embodied Motivational Conversational Storytelling David Powers Detecting Everyday Scenarios in Narrative Texts Lilian Diana Awuor Wanzare, Michael Roth and Manfred Pinkal Personality Traits Recognition in Literary Texts Daniele Pizzolli and Carlo Strapparava Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events Anietie Andy, Derry Tanti Wijaya and Chris Callison-Burch WriterForcing: Generating more interesting story endings Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani and Alan Black Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models You Jin Kim, Yun Gyung Cheong and Jung Hoon Lee Character-Centric Storytelling Aditya Surikuchi and Jorma Laaksonen 17:30–17:45 Closing Remarks x Composing a Picture Book by Automatic Story Understanding and Visualization Xiaoyu Qi1, Ruihua Song1, Chunting Wang2 , Jin Zhou2, Tetsuya Sakai3 1Microsoft, Beijing, China 2Beijing Film Academy, Beijing, China 3Waseda University, Tokyo, Japan xiaqi, rsong @microsoft.com, [email protected] { [email protected],} [email protected] Abstract in a story. A story usually consists of several plots, where characters appear and make actions. We de- Pictures can enrich storytelling experiences. fine event keywords of a story as: scene (where), We propose a framework that can automati- cally compose a picture book by understand- character (who, to whom) and action (what). We ing story text and visualizing it with paint- extract events from story on both sentence level ing elements, i.e., characters and backgrounds. and paragraph level, so as to make use of the in- For story understanding, we extract key infor- formation in each sentence and the context of the mation from a story on both sentence level and full story. paragraph level, including characters, scenes As for story visualization, the most challenging and actions. These concepts are organized and problem is stage directing. We need to organize visualized in a way that depicts the develop- ment of a story. We collect a set of Chinese the events following certain spatial distribution stories for children and apply our approach to rules. Although literary devices might be used e.g. compose pictures for stories. Extensive exper- flashbacks, the order in a story plot roughly corre- iments are conducted towards story event ex- sponds with time (Kosara and Mackinlay, 2013). traction for visualization to demonstrate the ef- We arrange the extracted events in a screen along fectiveness of our method. the story timeline. Positions of elements on the screen are determined according to both current 1 Introduction and past events. Finally, with audio track added, A story is an ordered sequence of steps, each of simple animations could be generated. These sim- which can contain words, images, visualizations, ple animations are like storyboards, in which each video, or any combination thereof (Kosara and image represents a major event that correspond to Mackinlay, 2013). There exist vast amounts of a sentence or a group of consecutive sentences in story materials on the Internet, while few of them the story text. include visual data. Among the few presented to Regarding storytelling, we need to first know audience, some include illustrations
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