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Proceedings of the Combined Workshop on Spatial Language Understanding (最新文献

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Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications 语义空间表示:基于机器人应用本体的环境的唯一表示
Proceedings of the Combined Workshop on Spatial Language Understanding ( Pub Date : 2019-06-06 DOI: 10.18653/v1/W19-1606
Guillaume Sarthou, A. Clodic, R. Alami
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引用次数: 9
Corpus of Multimodal Interaction for Collaborative Planning 协同规划的多模态交互语料库
Proceedings of the Combined Workshop on Spatial Language Understanding ( Pub Date : 2019-06-06 DOI: 10.18653/v1/W19-1601
Miltiadis Marios Katsakioris, Helen F. Hastie, Ioannis Konstas, A. Laskov
{"title":"Corpus of Multimodal Interaction for Collaborative Planning","authors":"Miltiadis Marios Katsakioris, Helen F. Hastie, Ioannis Konstas, A. Laskov","doi":"10.18653/v1/W19-1601","DOIUrl":"https://doi.org/10.18653/v1/W19-1601","url":null,"abstract":"As autonomous systems become more commonplace, we need a way to easily and naturally communicate to them our goals and collaboratively come up with a plan on how to achieve these goals. To this end, we conducted a Wizard of Oz study to gather data and investigate the way operators would collaboratively make plans via a conversational ‘planning assistant’ for remote autonomous systems. We present here a corpus of 22 dialogs from expert operators, which can be used to train such a system. Data analysis shows that multimodality is key to successful interaction, measured both quantitatively and qualitatively via user feedback.","PeriodicalId":179916,"journal":{"name":"Proceedings of the Combined Workshop on Spatial Language Understanding (","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130201876","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
What a neural language model tells us about spatial relations 神经语言模型告诉我们空间关系
Proceedings of the Combined Workshop on Spatial Language Understanding ( Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-1608
M. Ghanimifard, Simon Dobnik
{"title":"What a neural language model tells us about spatial relations","authors":"M. Ghanimifard, Simon Dobnik","doi":"10.18653/v1/W19-1608","DOIUrl":"https://doi.org/10.18653/v1/W19-1608","url":null,"abstract":"Understanding and generating spatial descriptions requires knowledge about what objects are related, their functional interactions, and where the objects are geometrically located. Different spatial relations have different functional and geometric bias. The wide usage of neural language models in different areas including generation of image description motivates the study of what kind of knowledge is encoded in neural language models about individual spatial relations. With the premise that the functional bias of relations is expressed in their word distributions, we construct multi-word distributional vector representations and show that these representations perform well on intrinsic semantic reasoning tasks, thus confirming our premise. A comparison of our vector representations to human semantic judgments indicates that different bias (functional or geometric) is captured in different data collection tasks which suggests that the contribution of the two meaning modalities is dynamic, related to the context of the task.","PeriodicalId":179916,"journal":{"name":"Proceedings of the Combined Workshop on Spatial Language Understanding (","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132224451","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
From Virtual to Real: A Framework for Verbal Interaction with Robots 从虚拟到真实:与机器人语言交互的框架
Proceedings of the Combined Workshop on Spatial Language Understanding ( Pub Date : 1900-01-01 DOI: 10.18653/v1/W19-1603
E. Joseph
{"title":"From Virtual to Real: A Framework for Verbal Interaction with Robots","authors":"E. Joseph","doi":"10.18653/v1/W19-1603","DOIUrl":"https://doi.org/10.18653/v1/W19-1603","url":null,"abstract":"A Natural Language Understanding (NLU) pipeline integrated with a 3D physics-based scene is a flexible way to develop and test language-based human-robot interaction, by virtualizing people, robot hardware and the target 3D environment. Here, interaction means both controlling robots using language and conversing with them about the user’s physical environment and her daily life. Such a virtual development framework was initially developed for the Bot Colony videogame launched on Steam in June 2014, and has been undergoing improvements since. The framework is focused of developing intuitive verbal interaction with various types of robots. Key robot functions (robot vision and object recognition, path planning and obstacle avoidance, task planning and constraints, grabbing and inverse kinematics), the human participants in the interaction, and the impact of gravity and other forces on the environment are all simulated using commercial 3D tools. The framework can be used as a robotics testbed: the results of our simulations can be compared with the output of algorithms in real robots, to validate such algorithms. A novelty of our framework is support for social interaction with robots - enabling robots to converse about people and objects in the user’s environment, as well as learning about human needs and everyday life topics from their owner.","PeriodicalId":179916,"journal":{"name":"Proceedings of the Combined Workshop on Spatial Language Understanding (","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123251149","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
SpatialNet: A Declarative Resource for Spatial Relations 空间网空间关系的声明式资源
Proceedings of the Combined Workshop on Spatial Language Understanding ( Pub Date : 1900-01-01 DOI: 10.18653/v1/W19-1607
Morgan Ulinski, B. Coyne, Julia Hirschberg
{"title":"SpatialNet: A Declarative Resource for Spatial Relations","authors":"Morgan Ulinski, B. Coyne, Julia Hirschberg","doi":"10.18653/v1/W19-1607","DOIUrl":"https://doi.org/10.18653/v1/W19-1607","url":null,"abstract":"This paper introduces SpatialNet, a novel resource which links linguistic expressions to actual spatial configurations. SpatialNet is based on FrameNet (Ruppenhofer et al., 2016) and VigNet (Coyne et al., 2011), two resources which use frame semantics to encode lexical meaning. SpatialNet uses a deep semantic representation of spatial relations to provide a formal description of how a language expresses spatial information. This formal representation of the lexical semantics of spatial language also provides a consistent way to represent spatial meaning across multiple languages. In this paper, we describe the structure of SpatialNet, with examples from English and German. We also show how SpatialNet can be combined with other existing NLP tools to create a text-to-scene system for a language.","PeriodicalId":179916,"journal":{"name":"Proceedings of the Combined Workshop on Spatial Language Understanding (","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296109","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: 6
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