Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)最新文献

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How to be Helpful on Online Support Forums? 如何在在线支持论坛上提供帮助?
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.wnu-1.3
Zhiling Wang, Pablo E. Torres
{"title":"How to be Helpful on Online Support Forums?","authors":"Zhiling Wang, Pablo E. Torres","doi":"10.18653/v1/2022.wnu-1.3","DOIUrl":"https://doi.org/10.18653/v1/2022.wnu-1.3","url":null,"abstract":"Internet forums such as Reddit offer people a platform to ask for advice when they encounter various issues at work, school or in relationships. Telling helpful comments apart from unhelpful comments to these advice-seeking posts can help people and dialogue agents to become more helpful in offering advice. We propose a dataset that contains both helpful and unhelpful comments in response to such requests. We then relate helpfulness to the closely related construct of empathy. Finally, we analyze the language features that are associated with helpful and unhelpful comments.","PeriodicalId":398853,"journal":{"name":"Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127551940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Looking from the Inside: How Children Render Character’s Perspectives in Freely Told Fantasy Stories 从内部看:孩子们如何在自由讲述的幻想故事中呈现角色的视角
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.wnu-1.8
Max van Duijn, Bram van Dijk, Marco Spruit
{"title":"Looking from the Inside: How Children Render Character’s Perspectives in Freely Told Fantasy Stories","authors":"Max van Duijn, Bram van Dijk, Marco Spruit","doi":"10.18653/v1/2022.wnu-1.8","DOIUrl":"https://doi.org/10.18653/v1/2022.wnu-1.8","url":null,"abstract":"Story characters not only perform actions, they typically also perceive, feel, think, and communicate. Here we are interested in how children render characters’ perspectives when freely telling a fantasy story. Drawing on a sample of 150 narratives elicited from Dutch children aged 4-12, we provide an inventory of 750 instances of character-perspective representation (CPR), distinguishing fourteen different types. Firstly, we observe that character perspectives are ubiquitous in freely told children’s stories and take more varied forms than traditional frameworks can accommodate. Secondly, we discuss variation in the use of different types of CPR across age groups, finding that character perspectives are being fleshed out in more advanced and diverse ways as children grow older. Thirdly, we explore whether such variation can be meaningfully linked to automatically extracted linguistic features, thereby probing the potential for using automated tools from NLP to extract and classify character perspectives in children’s stories.","PeriodicalId":398853,"journal":{"name":"Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124502904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Narrative Detection and Feature Analysis in Online Health Communities 在线健康社区的叙事检测与特征分析
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.wnu-1.7
Achyutarama Ganti, Steven R. Wilson, Zexin Ma, Xinyan Zhao, Rong Ma
{"title":"Narrative Detection and Feature Analysis in Online Health Communities","authors":"Achyutarama Ganti, Steven R. Wilson, Zexin Ma, Xinyan Zhao, Rong Ma","doi":"10.18653/v1/2022.wnu-1.7","DOIUrl":"https://doi.org/10.18653/v1/2022.wnu-1.7","url":null,"abstract":"Narratives have been shown to be an effective way to communicate health risks and promote health behavior change, and given the growing amount of health information being shared on social media, it is crucial to study health-related narratives in social media. However, expert identification of a large number of narrative texts is a time consuming process, and larger scale studies on the use of narratives may be enabled through automatic text classification approaches. Prior work has demonstrated that automatic narrative detection is possible, but modern deep learning approaches have not been used for this task in the domain of online health communities. Therefore, in this paper, we explore the use of deep learning methods to automatically classify the presence of narratives in social media posts, finding that they outperform previously proposed approaches. We also find that in many cases, these models generalize well across posts from different health organizations. Finally, in order to better understand the increase in performance achieved by deep learning models, we use feature analysis techniques to explore the features that most contribute to narrative detection for posts in online health communities.","PeriodicalId":398853,"journal":{"name":"Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117252547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Compositional Generalization for Kinship Prediction through Data Augmentation 基于数据扩充的亲属关系预测组合概化
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.wnu-1.2
Kangda Wei, Sayan Ghosh, Shashank Srivastava
{"title":"Compositional Generalization for Kinship Prediction through Data Augmentation","authors":"Kangda Wei, Sayan Ghosh, Shashank Srivastava","doi":"10.18653/v1/2022.wnu-1.2","DOIUrl":"https://doi.org/10.18653/v1/2022.wnu-1.2","url":null,"abstract":"Transformer-based models have shown promising performance in numerous NLP tasks. However, recent work has shown the limitation of such models in showing compositional generalization, which requires models to generalize to novel compositions of known concepts. In this work, we explore two strategies for compositional generalization on the task of kinship prediction from stories, (1) data augmentation and (2) predicting and using intermediate structured representation (in form of kinship graphs). Our experiments show that data augmentation boosts generalization performance by around 20% on average relative to a baseline model from prior work not using these strategies. However, predicting and using intermediate kinship graphs leads to a deterioration in the generalization of kinship prediction by around 50% on average relative to models that only leverage data augmentation.","PeriodicalId":398853,"journal":{"name":"Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GPT-2-based Human-in-the-loop Theatre Play Script Generation 基于gpt -2的人在循环戏剧剧本生成
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.wnu-1.4
Rudolf Rosa, Patrícia Schmidtová, Ondrej Dusek, Tomáš Musil, D. Mareček, Saad Obaid, Marie Nováková, Klára Vosecká, Josef Doležal
{"title":"GPT-2-based Human-in-the-loop Theatre Play Script Generation","authors":"Rudolf Rosa, Patrícia Schmidtová, Ondrej Dusek, Tomáš Musil, D. Mareček, Saad Obaid, Marie Nováková, Klára Vosecká, Josef Doležal","doi":"10.18653/v1/2022.wnu-1.4","DOIUrl":"https://doi.org/10.18653/v1/2022.wnu-1.4","url":null,"abstract":"We experiment with adapting generative language models for the generation of long coherent narratives in the form of theatre plays. Since fully automatic generation of whole plays is not currently feasible, we created an interactive tool that allows a human user to steer the generation somewhat while minimizing intervention. We pursue two approaches to long-text generation: a flat generation with summarization of context, and a hierarchical text-to-text two-stage approach, where a synopsis is generated first and then used to condition generation of the final script. Our preliminary results and discussions with theatre professionals show improvements over vanilla language model generation, but also identify important limitations of our approach.","PeriodicalId":398853,"journal":{"name":"Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114798138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Uncovering Surprising Event Boundaries in Narratives 揭示叙事中令人惊讶的事件边界
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022) Pub Date : 1900-01-01 DOI: 10.18653/v1/2022.wnu-1.1
Zhiling Wang, A. Jafarpour, Maarten Sap
{"title":"Uncovering Surprising Event Boundaries in Narratives","authors":"Zhiling Wang, A. Jafarpour, Maarten Sap","doi":"10.18653/v1/2022.wnu-1.1","DOIUrl":"https://doi.org/10.18653/v1/2022.wnu-1.1","url":null,"abstract":"It is important to define meaningful and interpretable automatic evaluation metrics for open-domain dialog research. Standard language generation metrics have been shown to be ineffective for dialog. This paper introduces the FED metric (fine-grained evaluation of dialog), an automatic evaluation metric which uses DialoGPT, without any fine-tuning or supervision. It also introduces the FED dataset which is constructed by annotating a set of human-system and human-human conversations with eighteen fine-grained dialog qualities. The FED metric (1) does not rely on a ground-truth response, (2) does not require training data and (3) measures fine-grained dialog qualities at both the turn and whole dialog levels. FED attains moderate to strong correlation with human judgement at both levels.","PeriodicalId":398853,"journal":{"name":"Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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