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| 2. |
- Eshghi, Arash, et al.
(author)
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Feedback in Conversation as Incremental Semantic Update
- 2015
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In: Proceedings of the 11th International Conference on Computational Semantics, 15-17 April 2015, Queen Mary University of London, London UK. - 9781941643334 ; , s. 261-271
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Conference paper (peer-reviewed)abstract
- In conversation, interlocutors routinely indicate whether something said or done has been processed and integrated. Such feedback includes backchannels such as ‘okay’ or ‘mhm’, the production of a next relevant turn, and repair initiation via clarification requests. Importantly, such feedback can be produced not only at sentence/turn boundaries, but also sub-sententially. In this paper, we extend an existing model of incremental semantic processing in dialogue, based around the Dynamic Syntax (DS) grammar framework, to provide a low-level, integrated account of backchannels, clarification requests and their responses; demonstrating that they can be accounted for as part of the core semantic structure-building mechanisms of the grammar, rather than via higher level pragmatic phenomena such as intention recognition, or treatment as an “unofficial” part of the conversation. The end result is an incremental model in which words, not turns, are seen as procedures for contextual update and backchannels serve to align participant semantic processing contexts and thus ease the production and interpretation of subsequent conversational actions. We also show how clarification requests and their following responses and repair can be modelled within the same DS framework, wherein the divergence and re-alignment effort in participants’ semantic processing drives conversations forward.
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| 3. |
- Förster, Frank, et al.
(author)
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Working with troubles and failures in conversation between humans and robots: workshop report
- 2023
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In: Frontiers in Robotics and AI. - : Frontiers Media SA. - 2296-9144. ; 10
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Journal article (peer-reviewed)abstract
- This paper summarizes the structure and findings from the first Workshop on Troubles and Failures in Conversations between Humans and Robots. The workshop was organized to bring together a small, interdisciplinary group of researchers working on miscommunication from two complementary perspectives. One group of technology-oriented researchers was made up of roboticists, Human-Robot Interaction (HRI) researchers and dialogue system experts. The second group involved experts from conversation analysis, cognitive science, and linguistics. Uniting both groups of researchers is the belief that communication failures between humans and machines need to be taken seriously and that a systematic analysis of such failures may open fruitful avenues in research beyond current practices to improve such systems, including both speech-centric and multimodal interfaces. This workshop represents a starting point for this endeavour. The aim of the workshop was threefold: Firstly, to establish an interdisciplinary network of researchers that share a common interest in investigating communicative failures with a particular view towards robotic speech interfaces; secondly, to gain a partial overview of the “failure landscape” as experienced by roboticists and HRI researchers; and thirdly, to determine the potential for creating a robotic benchmark scenario for testing future speech interfaces with respect to the identified failures. The present article summarizes both the “failure landscape” surveyed during the workshop as well as the outcomes of the attempt to define a benchmark scenario.
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| 5. |
- Ginzburg, Jonathan, et al.
(author)
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Incrementality and clarification/sluicing potential
- 2018
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In: Proceedings of Sinn und Bedeutung 21, Edinburgh, September 4-6, 2016 / edited by Robert Truswell, Chris Cummins, Caroline Heycock, Brian Rabern, and Hannah Rohde. - : Linguistic Society of America.
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Conference paper (peer-reviewed)
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| 6. |
- Ginzburg, Jonathan, et al.
(author)
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Incrementality and HPSG: Why not?
- 2020
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In: Constraint-Based Syntax and Semantics: Papers in Honor of Danièle Godard, ed. by Anne Abeillé and Olivier Bonami. - Stanford, California : CSLI Publications. - 9781684000463
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Book chapter (peer-reviewed)
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| 7. |
- Ginzburg, Jonathan, et al.
(author)
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Understanding Laughter
- 2015
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In: Proceedings of 20th Amsterdam Colloquium, 16-18 December 2015, ed. by Thomas Brochhagen, Floris Roelofsen and Nadine Theiler. ; , s. 137-146
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Conference paper (peer-reviewed)
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| 14. |
- Kattge, Jens, et al.
(author)
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TRY plant trait database - enhanced coverage and open access
- 2020
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In: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Journal article (peer-reviewed)abstract
- Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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| 18. |
- Maraev, Vladislav, 1986, et al.
(author)
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Laughter relevance spaces
- 2019
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In: The 3rd Dynamic Syntax Conference, 16-17th May 2019, Valletta, Malta.
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Conference paper (peer-reviewed)
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