Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Collaborating on referring expressions
Computational Linguistics
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
International Journal of Human-Computer Studies - Special issue on collaboration, cooperation and conflict in dialogue systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
“Put-that-there”: Voice and gesture at the graphics interface
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
Japanese discourse and the process of centering
Computational Linguistics
A centering approach to pronouns
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Providing a unified account of definite noun phrases in discourse
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Generating a coherent text describing a traffic scene
COLING '86 Proceedings of the 11th coference on Computational linguistics
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A speech-first model for repair detection and correction
HLT '93 Proceedings of the workshop on Human Language Technology
Modeling the impact of shared visual information on collaborative reference
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Proceedings of the 13th international conference on Intelligent user interfaces
Inter-coder agreement for computational linguistics
Computational Linguistics
Evaluating algorithms for the generation of referring expressions using a balanced corpus
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Referring expression generation through attribute-based heuristics
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Learning lexical alignment policies for generating referring expressions in spoken dialogue systems
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
An alignment-capable microplanner for natural language generation
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
A Japanese corpus of referring expressions used in a situated collaboration task
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
The TUNA-REG Challenge 2009: overview and evaluation results
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Learning content selection rules for generating object descriptions in dialogue
Journal of Artificial Intelligence Research
Artificial Intelligence - Special volume on connecting language to the world
Group-based generation of referring expressions
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Noun phrase generation for situated dialogs
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
The use of spatial relations in referring expression generation
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Creating and exploiting multimodal annotated corpora: the ToMA project
Multimodal corpora
Incorporating extra-linguistic information into reference resolution in collaborative task dialogue
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Deixis: how to determine demonstrated objects using a pointing cone
GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
RealTourist: a study of augmenting human-human and human-computer dialogue with eye-gaze overlay
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Utilizing visual attention for cross-modal coreference interpretation
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
A unified probabilistic approach to referring expressions
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A task-performance evaluation of referring expressions in situated collaborative task dialogues
Language Resources and Evaluation
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Identifying objects in conversation is a fundamental human capability necessary to achieve efficient collaboration on any real world task. Hence the deepening of our understanding of human referential behaviour is indispensable for the creation of systems that collaborate with humans in a meaningful way. We present the construction of REX-J, a multi-modal Japanese corpus of referring expressions in situated dialogs, based on the collaborative task of solving the Tangram puzzle. This corpus contains 24 dialogs with over 4 h of recordings and over 1,400 referring expressions. We outline the characteristics of the collected data and point out the important differences from previous corpora. The corpus records extra-linguistic information during the interaction (e.g. the position of pieces, the actions on the pieces) in synchronization with the participants' utterances. This in turn allows us to discuss the importance of creating a unified model of linguistic and extra-linguistic information from a new perspective. Demonstrating the potential uses of this corpus, we present the analysis of a specific type of referring expression ("action-mentioning expression") as well as the results of research into the generation of demonstrative pronouns. Furthermore, we discuss some perspectives on potential uses of this corpus as well as our planned future work, underlining how it is a valuable addition to the existing databases in the community for the study and modeling of referring expressions in situated dialog.