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  1.  14
    Strudel: A Corpus‐Based Semantic Model Based on Properties and Types.Marco Baroni, Eduard Barbu, Brian Murphy & Massimo Poesio - 2010 - Cognitive Science 34 (2):222-254.
    Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate classical (...)
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  2. Grammar Is a System That Characterizes Talk in Interaction.Jonathan Ginzburg & Massimo Poesio - 2016 - Frontiers in Psychology 7.
  3.  52
    Strudel: A Corpus‐Based Semantic Model Based on Properties and Types.Marco Baroni, Brian Murphy, Eduard Barbu & Massimo Poesio - 2010 - Cognitive Science 34 (2):222-254.
    Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate classical (...)
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  4. The dynamics of discourse situations (extended abstract).Massimo Poesio & Reinhard Muskens - 1997 - In Paul Dekker, Martin Stokhof & Yde Venema (eds.), Proceedings of the Eleventh Amsterdam Colloquium. University of Amsterdam. pp. 247-252.
    The effects of utterances such as cue phrases, keep-turn markers, and grounding signals cannot be characterized as changes to a shared record of the propositions under discussed: the simplest (and arguably most natural) way of characterizing the meaning of these utterances is in terms of a theory in which the conversational score is seen as a record of the discourse situation, or at least of the speech acts that have been performed. The problem then becomes to explain how discourse entities (...)
     
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  5.  8
    Modeling Brain Representations of Words' Concreteness in Context Using GPT‐2 and Human Ratings.Andrea Bruera, Yuan Tao, Andrew Anderson, Derya Çokal, Janosch Haber & Massimo Poesio - 2023 - Cognitive Science 47 (12):e13388.
    The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented opportunities to study the human brain in action as language is read and understood. Recent contextualized language models seem to be able to capture homonymic meaning variation (“bat”, in a baseball vs. a vampire context), as (...)
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  6.  13
    The effect of linguistic and visual salience in visual world studies.Federica Cavicchio, David Melcher & Massimo Poesio - 2014 - Frontiers in Psychology 5.
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  7.  35
    Automatic deception detection in Italian court cases.Tommaso Fornaciari & Massimo Poesio - 2013 - Artificial Intelligence and Law 21 (3):303-340.
    Effective methods for evaluating the reliability of statements issued by witnesses and defendants in hearings would be an extremely valuable support to decision-making in court and other legal settings. In recent years, methods relying on stylometric techniques have proven most successful for this task; but few such methods have been tested with language collected in real-life situations of high-stakes deception, and therefore their usefulness outside lab conditions still has to be properly assessed. In this study we report the results obtained (...)
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  8. Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both?Massimo Poesio - 2005 - Applied ontology 1 (1):27-33.
     
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