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Monotonic Inference for Underspecified Episodic Logic
We present a method of making natural logic inferences from Unscoped Logical Form of Episodic Logic.
A (Mostly) Symbolic System for Monotonic Inference with Unscoped Episodic Logical Forms
We implement the formalization of natural logic-like monotonic inference using Unscoped Episodic Logical Forms (ULFs) by Kim et al. (2020).
Generating Discourse Inferences from Unscoped Episodic Logical Formulas
Abstract Unscoped episodic logical form (ULF) is a semantic representation capturing the predicate-argument structure of English within the episodic logic formalism in relation to the syntactic structure, while leaving scope, word sense, and anaphora unresolved.
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
Moreover, both the global structure and local details play important roles in medical image analysis tasks.
Intension, Attitude, and Tense Annotation in a High-Fidelity Semantic Representation
EL has proved competitive with other logical formulations in speed and inference-enablement, while expressing a wider array of natural language phenomena including intensional modification of predicates and sentences, propositional attitudes, and tense and aspect.
