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  1.  37
    The Emotions of Abstract Words: A Distributional Semantic Analysis.Alessandro Lenci, Gianluca E. Lebani & Lucia C. Passaro - 2018 - Topics in Cognitive Science 10 (3):550-572.
    Affective information can be retrieved simply by measuring words co‐occurrences in linguistic contexts. Lenci and colleagues demonstrate that the affective measures retrieved from linguistic occurrences predict words’ concreteness: abstract words are more heavily loaded with affective information than concrete ones. These results challenge the Affective grounding hypothesis, suggesting that abstract concepts may be ungrounded and coded only linguistically, and that their affective load may be a linguistic factor.
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  2.  12
    Constructional associations trump lexical associations in processing valency coercion.Alessandro Lenci, Florent Perek & Lucia Busso - 2021 - Cognitive Linguistics 32 (2):287-318.
    The paper investigates the interaction of lexical and constructional meaning in valency coercion processing, and the effect of (in)compatibility between verb and construction for its successful resolution (Perek, Florent & Martin Hilpert. 2014. Constructional tolerance: Cross-linguistic differences in the acceptability of non-conventional uses of constructions. Constructions and Frames 6(2). 266–304; Yoon, Soyeon. 2019. Coercion and language change: A usage-based approach. Linguistic Research 36(1). 111–139). We present an online experiment on valency coercion (the first one on Italian), by means of a (...)
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  3.  48
    Aspect, adverbs, and events: habituality vs. perfectivity.Alessandro Lenci & Pier Marco Bertinetto - 2000 - In Achille Varzi, James Higginbotham & Fabio Pianesi (eds.), Speaking of Events. Oxford University Press.
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  4.  31
    Logical Metonymy Resolution in a Words‐as‐Cues Framework: Evidence From Self‐Paced Reading and Probe Recognition.Alessandra Zarcone, Sebastian Padó & Alessandro Lenci - 2014 - Cognitive Science 38 (5):973-996.
    Logical metonymy resolution (begin a book begin reading a book or begin writing a book) has traditionally been explained either through complex lexical entries (qualia structures) or through the integration of the implicit event via post-lexical access to world knowledge. We propose that recent work within the words-as-cues paradigm can provide a more dynamic model of logical metonymy, accounting for early and dynamic integration of complex event information depending on previous contextual cues (agent and patient). We first present a self-paced (...)
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  5.  27
    Logic and linguistics in the twentieth century.Alessandro Lenci & Gabriel Sandu - 2011 - In Leila Haaparanta (ed.), The development of modern logic. New York: Oxford University Press.
    This chapter begins with a discussion of the three phases of the interaction between logic and linguistics on the nature of universal grammar. It then attempts to reconstruct the dynamics and interactions between these approaches in logic and in linguistic theory, which represent the major landmarks in the quest for the individuation of the universal structure of language.
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  6. Iterativity vs. habituality: On the iterative interpretation of perfective sentences.Alessandro Lenci & Pier Marco Bertinetto - 2000 - In Achille Varzi, James Higginbotham & Fabio Pianesi (eds.), Speaking of Events. Oxford University Press.
     
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  7. The structure of predication.Alessandro Lenci - 1998 - Synthese 114 (2):233-276.
    The paper discusses the structure of non-verbal predication, with particular reference to the role of the copula. Differently from the main tenets of contemporary logico-philosophical and linguistic theories, a model of predication is proposed where the verbal component (specifically, tense information) is regarded as central in establishing the syntactic and semantic relation between a predicate and its subject. It is thus possible to recover some of the insights of the pre-Fregean analysis of predication. The proposed solution has a number of (...)
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  8.  14
    Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely.Carina Kauf, Anna A. Ivanova, Giulia Rambelli, Emmanuele Chersoni, Jingyuan Selena She, Zawad Chowdhury, Evelina Fedorenko & Alessandro Lenci - 2023 - Cognitive Science 47 (11):e13386.
    Word co‐occurrence patterns in language corpora contain a surprising amount of conceptual knowledge. Large language models (LLMs), trained to predict words in context, leverage these patterns to achieve impressive performance on diverse semantic tasks requiring world knowledge. An important but understudied question about LLMs’ semantic abilities is whether they acquire generalized knowledge of common events. Here, we test whether five pretrained LLMs (from 2018's BERT to 2023's MPT) assign a higher likelihood to plausible descriptions of agent−patient interactions than to minimally (...)
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  9. Computational Linguistics Meets Philosophy: A Latent Semantic Analy-sis of Giordano Bruno's Texts.Simonetta Bassi, Felice Dell'orletta, Daniele Esposito & Alessandro Lenci - 2006 - Rinascimento 46:631-647.
  10.  14
    19 Generative Lexicon and the SIMPLE Model: Developing Semantic Resources for NLP.Federica Busa, Nicoletta Calzolari & Alessandro Lenci - 2001 - In Pierrette Bouillon & Federica Busa (eds.), The Language of Word Meaning. Cambridge University Press. pp. 333.
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  11. The lexicon and the boundaries of compositionality.Alessandro Lenci - 2006 - Acta Philosophica Fennica 78:303.
     
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