A Textually Evoked Entity (TEE) is a real-world object or concept mentioned in text. It's identified by analyzing natural language…
Interpropositional relations describe the logical connections between propositions. They are crucial for understanding argument structure, inference, and the coherence of…
Descriptive text provides rich context for natural language processing (NLP) tasks. It goes beyond keywords to capture nuance, sentiment, and…
Coreference resolution identifies all expressions in a text that refer to the same real-world entity. It's crucial for understanding context…
Understanding the Beginning-Postspan Relation is crucial for analyzing temporal events in text. It defines the relationship between the start of…
An attribution relation links a statement or claim to its source, establishing credibility and allowing for verification. It answers 'who…
Exploring the semantic role of accompaniment, detailing its linguistic function, how it's expressed in language, and its significance in understanding…
The temperature paradox highlights how seemingly illogical conclusions, like 'ninety is rising,' can be valid within specific formal logical systems.…
A formal system for natural language syntax modeling, rooted in categorial grammar. It focuses on operations and types to analyze…
Degree-theoretic semantics measures sentence truth in degrees, moving beyond binary true/false. This approach is vital for fuzzy logic and theories…