Women@CL talklet event

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• Zohreh Shams; Luana Bulat; Guo Yu
• Thursday 09 March 2017, 13:00-14:00
• Computer Laboratory, William Gates Building, Room FW26.

If you have a question about this talk, please contact Ekaterina Kochmar.

Speaker: Zohreh Shams (Artificial Intelligence group)

Title: Accessible Reasoning with Diagrams

Abstract: Ontologies are notoriously hard to define, express and reason about. Many tools have been developed to ease the debugging and the reasoning process with ontologies, however they often lack accessibility and formalisation. To address this shortcoming, we propose using “Concept Diagrams” to perform inconsistency and incoherence checking in ontologies. User studies have proven the cognitive advantages of concept diagrams over Description Logic and OWL (two common ontology representation languages). With reference two these results we have developed a set of sound inference rules to reason with concept diagrams about inconsistency and incoherence in ontologies. We are currently investigating the completeness of the devised set of inference rules parallel to implementing them.

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Speaker: Luana Bulat (NLP group)

Title: Modelling metaphor with attribute-based semantics

Abstract: One of the key problems in computational metaphor modelling is finding the optimal level of abstraction of semantic representations, such that these are able to capture and generalise metaphorical mechanisms. In this paper we present the first metaphor identification method that uses representations constructed from property norms. Such norms have been previously shown to provide a cognitively plausible representation of concepts in terms of semantic properties. Our results demonstrate that such property-based semantic representations provide a superior model of cross-domain knowledge projection in metaphors, outperforming standard distributional models on a metaphor identification task.

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Speaker: Guo Yu (Rainbow Graphics & Interaction group)

Title: Effects of Timing on Agency during Mixed-Initiative Interaction

Abstract: Machine learning has made human-computer interfaces more intelligent: They can observe and infer users’ behaviours, and even take some initiatives during the interaction. While various applications have been developed featured with mixed-initiative interaction, few studies have looked into what factors would affect users’ sense of control and how. In this talk, I will introduce our study on the effects of timing on users’ agency perception. We hypothesised that rhythmic intervals during the interaction could positively affect users’ perceived agency, entrainment behaviours, performance and relaxation, while arrhythmic could be damaging on all those aspects. We designed and carried out two within-subjects experiments, one used visual stimuli and the other used auditory stimuli. The results have supported our hypotheses. This study provided quantitative measures of timing pattern during back-and-forth interaction, and the resulting insights could be used to inform the design of mixed-initiative systems, such as programming-by-example and probabilistic programming of end-user automation.

This talk is part of the Women@CL Events series.

This talk is included in these lists:

• All Talks (aka the CURE list)
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• Computer Laboratory, William Gates Building, Room FW26
• Department of Computer Science and Technology talks and seminars
• Guy Emerson's list
• Interested Talks
• School of Technology
• Trust & Technology Initiative - interesting events
• Women@CL Events
• bld31
• women@CL all

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