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Dependent Event Types

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10388))

Abstract

This paper studies how dependent types can be employed for a refined treatment of event types, offering a nice improvement to Davidson’s event semantics. We consider dependent event types indexed by thematic roles and illustrate how, in the presence of refined event types, subtyping plays an essential role in semantic interpretations. We consider two extensions with dependent event types: first, the extension of Church’s simple type theory as employed in Montague semantics that is familiar with many linguistic semanticists and, secondly, the extension of a modern type theory as employed in MTT-semantics. The former uses subsumptive subtyping, while the latter uses coercive subtyping, to capture the subtyping relationships between dependent event types. Both of these extensions have nice meta-theoretic properties such as normalisation and logical consistency; in particular, we shall show that the former can be faithfully embedded into the latter and hence has expected meta-theoretic properties. As an example of applications, it is shown that dependent event types give a natural solution to the incompatibility problem (sometimes called the event quantification problem) in combining event semantics with the traditional compositional semantics, both in the Montagovian setting with the simple type theory and in the setting of MTT-semantics.

Z. Luo—Partially supported by EU COST Action CA15123 and CAS/SAFEA International Partnership Program.

S. Soloviev—Also an associated researcher at ITMO Univ, St. Petersburg, Russia. Partially supported by EU COST Action CA15123 and Russian Federation Grant 074-U01.

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Notes

  1. 1.

    In logical formulas or lambda-expressions, people often omit the type labels of events and entities: for example, (2) would just be written as \( \exists e.\ kiss(e)\ \& \ agent(e,j)\ \& \ patient(e,m)\ \& \ passionate(e)\), since traditionally there are only one type of events and one type of entities; we shall put in the type labels explicitly. Another note on notations is: e and t in boldface stand for the type of entities and the type of truth values, respectively, as in MG, while e and t not in boldface stand for different things (for example, e would usually be used as a variable of an event type).

  2. 2.

    Please note here that, for kiss(e) and passionate(e) to be well-typed, the type of event e must be the same as the domain of kiss and passionate – see the next section about subtyping, which allows them to be well-typed.

  3. 3.

    Formally, we have \(\textsc {agent}_{AP}[a,p] = \lambda e : Evt_{AP}(a,p).a\), of type \(Evt_{AP}(a,p) \rightarrow Agent\). Usually we simply write, for example, \(\textsc {agent}_{AP}(e)\) for \(\textsc {agent}_{AP}[a,p](e)\).

  4. 4.

    It may be worth mentioning that, in the setting of MTT-semantics, coercive subtyping [12, 14] is used and, for uniformity, we may adopt coercive subtyping rather than subsumptive subtyping, although in general subsumptive subtyping is simpler.

  5. 5.

    A notational remark: in \(C_e\), C stands for ‘Church’ and e for ‘event’. The notation UTT[E] comes from the work of coercive subtyping (see, for example, [14]) where T[C] denotes type theory T extended by coercive subtyping whose basic subtyping are given as the set C of subtyping judgements.

  6. 6.

    This section is rather formal and, for a reader less interested in formal matters, its details might be safely skipped if one wishes so.

  7. 7.

    We only consider the intuitionistic \(\supset \) and \(\forall \) here, omitting other operators including, in particular, those about, e.g. negation/classical logic in [5]. Also, we shall not assume extensionality.

  8. 8.

    Formally, this is a partial function – it is only defined when certain conditions hold. The embedding theorem shows that the embedding is total for well-typed terms. Also, a notional note: we shall use S and T to stand for types in UTT[E] where function types are special cases of \(\Pi \)-types: for any types S and T, \(S\rightarrow T = \Pi (S,[\_:S]T)\).

  9. 9.

    Of course, one can argue that this is not intended since the agent is known, but formally, nothing prevents one from doing it.

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Acknowledgement

Thanks go to Stergios Chatzikyriakidis, David Corfield, Koji Mineshima and Christian Retoré for helpful comments on this work.

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Correspondence to Zhaohui Luo .

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Luo, Z., Soloviev, S. (2017). Dependent Event Types. In: Kennedy, J., de Queiroz, R. (eds) Logic, Language, Information, and Computation. WoLLIC 2017. Lecture Notes in Computer Science(), vol 10388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55386-2_15

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  • DOI: https://doi.org/10.1007/978-3-662-55386-2_15

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