Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing最新文献

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Narrative Datasets through the Lenses of NLP and HCI NLP和HCI视角下的叙事数据集
S. Sultana, Renwen Zhang, Hajin Lim, Maria Antoniak
{"title":"Narrative Datasets through the Lenses of NLP and HCI","authors":"S. Sultana, Renwen Zhang, Hajin Lim, Maria Antoniak","doi":"10.18653/v1/2022.hcinlp-1.7","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.7","url":null,"abstract":"In this short paper, we compare existing value systems and approaches in NLP and HCI for collecting narrative data. Building on these parallel discussions, we shed light on the challenges facing some popular NLP dataset types, which we discuss these in relation to widely-used narrative-based HCI research methods; and we highlight points where NLP methods can broaden qualitative narrative studies. In particular, we point towards contextuality, positionality, dataset size, and open research design as central points of difference and windows for collaboration when studying narratives. Through the use case of narratives, this work contributes to a larger conversation regarding the possibilities for bridging NLP and HCI through speculative mixed-methods.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","volume":"38 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":"131203314","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: 2
Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction 分类法生成器:一个数据驱动和以用户为中心的工具,用于简化分类法构建
J. Hungerford, Yee Seng Chan, J. MacBride, Benjamin M. Gyori, Andrew Zupon, Zheng Tang, Egoitz Laparra, Haoling Qiu, Bonan Min, Yan Zverev, Caitlin Hilverman, M. Thomas, Walt Andrews, K. Alcock, Zeyu Zhang, Michael Reynolds, M. Surdeanu, Steven Bethard, Rebecca Sharp
{"title":"Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction","authors":"J. Hungerford, Yee Seng Chan, J. MacBride, Benjamin M. Gyori, Andrew Zupon, Zheng Tang, Egoitz Laparra, Haoling Qiu, Bonan Min, Yan Zverev, Caitlin Hilverman, M. Thomas, Walt Andrews, K. Alcock, Zeyu Zhang, Michael Reynolds, M. Surdeanu, Steven Bethard, Rebecca Sharp","doi":"10.18653/v1/2022.hcinlp-1.1","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.1","url":null,"abstract":"An existing domain taxonomy for normalizing content is often assumed when discussing approaches to information extraction, yet often in real-world scenarios there is none.When one does exist, as the information needs shift, it must be continually extended. This is a slow and tedious task, and one which does not scale well.Here we propose an interactive tool that allows a taxonomy to be built or extended rapidly and with a human in the loop to control precision. We apply insights from text summarization and information extraction to reduce the search space dramatically, then leverage modern pretrained language models to perform contextualized clustering of the remaining concepts to yield candidate nodes for the user to review. We show this allows a user to consider as many as 200 taxonomy concept candidates an hour, to quickly build or extend a taxonomy to better fit information needs.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","volume":"13 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":"127806855","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
An Interactive Exploratory Tool for the Task of Hate Speech Detection 一种用于仇恨言论检测任务的交互式探索工具
Angelina McMillan-Major, Amandalynne Paullada, Yacine Jernite
{"title":"An Interactive Exploratory Tool for the Task of Hate Speech Detection","authors":"Angelina McMillan-Major, Amandalynne Paullada, Yacine Jernite","doi":"10.18653/v1/2022.hcinlp-1.2","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.2","url":null,"abstract":"With the growth of Automatic Content Moderation (ACM) on widely used social media platforms, transparency into the design of moderation technology and policy is necessary for online communities to advocate for themselves when harms occur.In this work, we describe a suite of interactive modules to support the exploration of various aspects of this technology, and particularly of those components that rely on English models and datasets for hate speech detection, a subtask within ACM. We intend for this demo to support the various stakeholders of ACM in investigating the definitions and decisions that underpin current technologies such that those with technical knowledge and those with contextual knowledge may both better understand existing systems.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","volume":"15 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":"128575749","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: 2
Human-centered computing in legal NLP - An application to refugee status determination 法律自然语言处理中以人为中心的计算——在难民身份确定中的应用
Claire Barale
{"title":"Human-centered computing in legal NLP - An application to refugee status determination","authors":"Claire Barale","doi":"10.18653/v1/2022.hcinlp-1.4","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.4","url":null,"abstract":"This paper proposes an approach to the design of an ethical human-AI reasoning support system for decision makers in refugee law. In the context of refugee status determination, practitioners mostly rely on text data. We therefore investigate human-AI cooperation in legal natural language processing. Specifically, we want to determine which design methods can be transposed to legal text analytics. Although little work has been done so far on human-centered design methods applicable to the legal domain, we assume that introducing iterative cooperation and user engagement in the design process is (1) a method to reduce technical limitations of an NLP system and (2) that it will help design more ethical and effective applications by taking users’ preferences and feedback into account. The proposed methodology is based on three main design steps: cognitive process formalization in models understandable by both humans and computers, speculative design of prototypes, and semi-directed interviews with a sample of potential users.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","volume":"45 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":"114779094","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: 2
Let’s Chat: Understanding User Expectations in Socialbot Interactions Let’s Chat:了解社交机器人互动中的用户期望
Elizabeth Soper, Erin Pacquetet, Sougata Saha, Souvik Das, R. Srihari
{"title":"Let’s Chat: Understanding User Expectations in Socialbot Interactions","authors":"Elizabeth Soper, Erin Pacquetet, Sougata Saha, Souvik Das, R. Srihari","doi":"10.18653/v1/2022.hcinlp-1.5","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.5","url":null,"abstract":"This paper analyzes data from the 2021 Amazon Alexa Prize Socialbot Grand Challenge 4, in order to better understand the differences between human-computer interactions (HCI) in a socialbot setting and conventional human-to-human interactions. We find that because socialbots are a new genre of HCI, we are still negotiating norms to guide interactions in this setting. We present several notable patterns in user behavior toward socialbots, which have important implications for guiding future work in the development of conversational agents.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","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":"121999685","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
Design Considerations for an NLP-Driven Empathy and Emotion Interface for Clinician Training via Telemedicine 远程医疗临床医生培训中nlp驱动的移情和情感界面的设计考虑
Roxana Girju, Marina Girju
{"title":"Design Considerations for an NLP-Driven Empathy and Emotion Interface for Clinician Training via Telemedicine","authors":"Roxana Girju, Marina Girju","doi":"10.18653/v1/2022.hcinlp-1.3","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.3","url":null,"abstract":"As digital social platforms and mobile technologies become more prevalent and robust, the use of Artificial Intelligence (AI) in facilitating human communication will grow. This, in turn, will encourage development of intuitive, adaptive, and effective empathic AI interfaces that better address the needs of socially and culturally diverse communities. In this paper, we present several design considerations of an intelligent digital interface intended to guide the clinicians toward more empathetic communication. This approach allows various communities of practice to investigate how AI, on one side, and human communication and healthcare needs, on the other, can contribute to each other’s development.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","volume":"48 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":"124786785","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: 2
Teaching Interactively to Learn Emotions in Natural Language 互动教学,以自然语言学习情绪
Rajesh Titung, Cecilia Ovesdotter Alm
{"title":"Teaching Interactively to Learn Emotions in Natural Language","authors":"Rajesh Titung, Cecilia Ovesdotter Alm","doi":"10.18653/v1/2022.hcinlp-1.6","DOIUrl":"https://doi.org/10.18653/v1/2022.hcinlp-1.6","url":null,"abstract":"Motivated by prior literature, we provide a proof of concept simulation study for an understudied interactive machine learning method, machine teaching (MT), for the text-based emotion prediction task. We compare this method experimentally against a more well-studied technique, active learning (AL). Results show the strengths of both approaches over more resource-intensive offline supervised learning. Additionally, applying AL and MT to fine-tune a pre-trained model offers further efficiency gain. We end by recommending research directions which aim to empower users in the learning process.","PeriodicalId":447138,"journal":{"name":"Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing","volume":"8 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132939121","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
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