| 1. |
- Amanaki, Erini, et al.
(författare)
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Fine-grained Entailment: Resources for Greek NLI and Precise Entailment
- 2022
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Ingår i: Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference. - Marseille, France : European Language Resources Association (ELRA). - 9782493814067
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Konferensbidrag (refereegranskat)abstract
- In this paper, we present a number of fine-grained resources for Natural Language Inference (NLI). In particular, we present a number of resources and validation methods for Greek NLI and a resource for precise NLI. First, we extend the Greek version of the FraCaS test suite to include examples where the inference is directly linked to the syntactic/morphological properties of Greek. The new resource contains an additional 428 examples, making it in total a dataset of 774 examples. Expert annotators have been used in order to create the additional resource, while extensive validation of the original Greek version of the FraCaS by non-expert and expert subjects is performed. Next, we continue the work initiated by (CITATION), according to which a subset of the RTE problems have been labeled for missing hypotheses and we present a dataset an order of magnitude larger, annotating the whole SuperGlUE/RTE dataset with missing hypotheses. Lastly, we provide a de-dropped version of the Greek XNLI dataset, where the pronouns that are missing due to the pro-drop nature of the language are inserted. We then run some models to see the effect of that insertion and report the results.
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| 2. |
- Cano Santín, José Miguel, 1990, et al.
(författare)
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Interactive visual grounding with neural networks
- 2019
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Ingår i: Proceedings of LondonLogue - Semdial 2019: The 23rd Workshop on the Semantics and Pragmatics of Dialogue, London, 4-6 September 2019. - London, UK : Queen Mary University of London. - 2308-2275.
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Konferensbidrag (refereegranskat)abstract
- Training strategies for neural networks are not suitable for real time human-robot interaction. Few-shot learning approaches have been developed for low resource scenarios but without the usual teacher/learner supervision. In this work we present a combination of both: a situated dialogue system to teach object names to a robot from its camera images using Matching Networks (Vinyals et al., 2016). We compare the performance of the system with transferred learning from pre-trained models and different conversational strategies with a human tutor.
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| 3. |
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| 4. |
- de Graaf, Erik Wouter, 1991, et al.
(författare)
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KILLE: Learning Objects and Spatial Relations with Kinect
- 2015
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Ingår i: Proceedings of goDIAL - Semdial 2015: The 19th Workshop on the Semantics and Pragmatics of Dialogue. Gothenburg, 24–26 August 2015 / Christine Howes and Staffan Larsson (eds.). - 2308-2275.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- We present a situated dialogue system designed to learn objects and spatial relations from relatively few examples, based on camera imagery and dialogue interaction with a human partner. We also report on the baseline evaluation of the system.
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| 5. |
- Dobnik, Simon, 1977, et al.
(författare)
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A formal semantic model for spatial descriptions
- 2015
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Ingår i: Proceeds of the Workshop Formal Semantics Meets Cognitive Semantics, January 22-23 2015, Radboud University Nijmegen, The Netherlands.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- In this presentation we discuss how our empirical investigations of learning geometric meanings of spatial descriptions with situated robots, learning functional meanings of prepositions from collections of image descriptions, and modelling of reference frame assignment in conversation can be formulated in the TTR framework. The overall goal is to provide an account of semantics of spatial prepositions for these modalities, and over longer term, use the framework as a knowledge representation system of a situated agent.
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| 6. |
- Dobnik, Simon, 1977, et al.
(författare)
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A Model for Attention-Driven Judgements in Type Theory with Records
- 2016
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Ingår i: JerSem: The 20th Workshop on the Semantics and Pragmatics of Dialogue. J. Hunter, M. Simons, and M. Stone (eds.). New Brunswick, NJ USA, July 16–18 2016.. - 2308-2275.
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Konferensbidrag (refereegranskat)abstract
- This paper makes three contributions to the discussion on the applicability of Type Theory with Records (TTR) to embodied dialogue agents. First, it highlights the problem of type assignment or judgements in practical implementations which is re- source intensive. Second, it presents a judgement control mechanism, which con- sists of grouping of types into clusters or states by their thematic relations and selec- tion of types following two mechanisms inspired by the Load Theory of selective attention and cognitive control (Lavie et al., 2004), that addresses this problem. Third, it presents a computational frame- work, based on Bayesian inference, that offers a basis for future practical exper- imentation on the feasibility of the pro- posed approach.
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| 7. |
- Dobnik, Simon, 1977, et al.
(författare)
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Atention-driven Perceptual Classification and Reasoning
- 2016
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Ingår i: The Sixth Swedish language technology conference (SLTC), Umeå University, 17-18 November, 2016, (ed. Björklund, Johanna and Stymne, Sara). - Umeå : Umeå University.
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Konferensbidrag (refereegranskat)abstract
- One of the central challenges for embodied and situated agents with limited memory and processing resources is how to process and react to a large amount of information that they receive continuously through their sensors. Secondly, a model of infor- mation fusion is also required: how perceptual and linguistic/conceptual information interact and drive their reasoning. We present a computational model for perceptual classification in probabilistic Type Theory with Records (TTR), a formal meaning representation layer for such agents. The model is based on the cognitive notion of attention.
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| 8. |
- Dobnik, Simon, 1977, et al.
(författare)
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Back to the Future: Logic and Machine Learning
- 2017
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Ingår i: Conference on Logic and Machine Learning in Natural Language (LaML).
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- In this paper we argue that since the beginning of the natural language processing or computational linguistics there has been a strong connection between logic and machine learning. First of all, there is something logical about language or linguistic about logic. Secondly, we argue that rather than distinguishing between logic and machine learning, a more useful distinction is between top-down approaches and data-driven approaches. Examining some recent approaches in deep learning we argue that they incorporate both properties and this is the reason for their very successful adoption to solve several problems within language technology.
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| 9. |
- Dobnik, Simon, 1977, et al.
(författare)
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Categorisation of conversational games in free dialogue over spatial scenes
- 2018
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Ingår i: Proceedings of AixDial - Semdial 2018: The 22st Workshop on the Semantics and Pragmatics of Dialogue, Aix-en-Provence, 8-10 November 2018 / Laurent Prévot, Magalie Ochs and Benoît Favre (eds.). - Aix-en-Provence, France : Semdial. - 2308-2275.
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Konferensbidrag (refereegranskat)abstract
- We describe an extension of a corpus of dialogues over perceptual scenes with the annotation of conversational games in which particular interactive strategies are adopted by conversational partners which result in regularities of dialogue features. We hope these will be useful for computational modelling of perceptual dialogue.
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| 10. |
- Dobnik, Simon, 1977, et al.
(författare)
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Changing perspective: Local alignment of reference frames in dialogue
- 2015
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Ingår i: The 6th annual CLT workshop. Tollered, 20-22 October, 2015.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- In this paper we examine how people negotiate, interpret and repair the frame of reference (FoR) in free dialogues discussing spatial scenes. We describe a pilot study in which participants are given different perspectives of the same scene and asked to locate several objects that are only shown on one of their pictures. This task requires participants to coordinate on FoR in order to identify the missing objects. Preliminary results indicate that conversational participants align locally on FoR but do not converge on a global frame of reference. Misunderstandings lead to clarification sequences in which participants shift the FoR. These findings have implications for situated dialogue systems.
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