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        <title>Monotonic Inference for Underspecified Episodic Logic</title>
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    <abstract>We present a method of making natural logic inferences from Unscoped Logical Form of Episodic Logic. We establish a correspondence between inference rules of scope resolved Episodic Logic and the natural logic treatment by Sánchez Valencia (1991a), and hence demonstrate the ability to handle foundational natural logic inferences from prior literature as well as more general nested monotonicity inferences.</abstract>
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%0 Conference Proceedings
%T Monotonic Inference for Underspecified Episodic Logic
%A Kim, Gene
%A Juvekar, Mandar
%A Schubert, Lenhart
%Y Kalouli, Aikaterini-Lida
%Y Moss, Lawrence S.
%S Proceedings of the 1st and 2nd Workshops on Natural Logic Meets Machine Learning (NALOMA)
%D 2021
%8 June
%I Association for Computational Linguistics
%C Groningen, the Netherlands (online)
%F kim-etal-2021-monotonic
%X We present a method of making natural logic inferences from Unscoped Logical Form of Episodic Logic. We establish a correspondence between inference rules of scope resolved Episodic Logic and the natural logic treatment by Sánchez Valencia (1991a), and hence demonstrate the ability to handle foundational natural logic inferences from prior literature as well as more general nested monotonicity inferences.
%U https://aclanthology.org/2021.naloma-1.5/
%P 26-40

Markdown (Informal)

[Monotonic Inference for Underspecified Episodic Logic](https://aclanthology.org/2021.naloma-1.5/) (Kim et al., NALOMA 2021)

• Monotonic Inference for Underspecified Episodic Logic (Kim et al., NALOMA 2021)

ACL

• Gene Kim, Mandar Juvekar, and Lenhart Schubert. 2021. Monotonic Inference for Underspecified Episodic Logic. In Proceedings of the 1st and 2nd Workshops on Natural Logic Meets Machine Learning (NALOMA), pages 26–40, Groningen, the Netherlands (online). Association for Computational Linguistics.