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Automatic recognition of conceptualization zones in scientific articles and two life science applications
TLDR
Automatic annotation of biomedical articles by automating the recognition of 11 categories at the sentence level, which we call Core Scientific Concepts. Expand
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A Probabilistic Rich Type Theory for Semantic Interpretation
TLDR
We propose a probabilistic type theory in which a situations is judged to be of a typeT with probabilityp. Expand
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Interaction Strategies for an Affective Conversational Agent
TLDR
We present an implementation of a companion ECA integrating all the above aspects into a single prototype, in a way which supports conversational phenomena one would expect from affective dialogue, namely lengthy utterances on both sides and interruptions. Expand
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Probabilistic Type Theory and Natural Language Semantics
TLDR
We present a probabilistic formulation of a rich type theory, Type Theory with Records (TTR), and we illustrate how this framework can be used to approach the problem of semantic learning. Expand
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Modelling Language, Action, and Perception in Type Theory with Records
TLDR
Formal models of natural language semantics using TTR Type Theory with spatial descriptions for agent modelling . Expand
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Shami: A Corpus of Levantine Arabic Dialects
TLDR
In this paper, we construct the first Levantine Dialect Corpus (SDC) covering data from the four dialects spoken in Palestine, Jordan, Lebanon and Syria. Expand
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A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task
TLDR
We present a method which exploits automatically generated scientific discourse annotations to create a content model for the summarisation of scientific articles. Expand
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Interfacing language, spatial perception and cognition in Type Theory with Records
TLDR
We argue that computational modelling of perception, action, language, and cognition introduces several requirements on a formal semantic theory and its practical implementations. Expand
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Teaching mobile robots to use spatial words
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An overview of Natural Language Inference Data Collection: The way forward?
Understanding a Natural Language (NL) sentence amounts to understanding its consequences as well as the sentences that it is a consequence of. As Cooper et al. (1996) aptly put it ‘inferentialExpand
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