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Why Should I Turn Left? Towards Active Explainability for Spoken Dialogue Systems.
In this paper we argue that to make dialogue systems able to actively explain their decisions they can make use of enthymematic reasoning.
In Search of Meaning and Its Representations for Computational Linguistics
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning
We use dialogue act recognition (DAR) to investigate how well BERT represents utterances in dialogue, and how fine-tuning and large-scale pre-training contribute to its performance.
We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
Ways of Asking and Replying in Duplicate Question Detection
This paper presents the results of systematic experimentation on the impact in duplicate question detection of different types of questions across both a number of established approaches and a novel, superior one used to address this language processing task.
