The resulting framework, called Distributional Formal Semantics (DFS; as introduced in [26]), defines a meaning space for describing propositional-level meaning in terms of co-occurrence across a set of logical models: individual models are treated as observations, or cues, for determining the truth conditions of ...
Mar 2, 2021 · Here, we define a Distributional Formal Semantics that integrates distributionality into a formal semantic system on the level of formal models.
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Formal Semantics is based on a symbolic tradition and centered around the inferential properties of language. Distributional Semantics is statistical and data- ...
The core strength of the distributional semantics approach, by contrast, is that (word) meanings are defined in relation to each other, thus directly capturing ...
We introduce a new approach to semantics which combines the benefits of distributional and formal logical semantics.
Distributional semantics is a subfield of Natural Language Processing that learns meaning from word usages.
Formal semantics and distributional semantics offer complementary strengths in capturing the meaning of natural language. As such, a considerable amount of ...
Gemma Boleda and Aurélie Herbelot. 2016. Formal Distributional Semantics: Introduction to the Special Issue. Computational Linguistics, 42(4):619–635.
In this work, I propose the Formal-Logical Distributional. Semantics (FoLDS) model, which involves obtaining complex-valued word vectors drawn from a fuzzy- ...
Oct 22, 2024 · ... Distributional and formal semantics are often regarded as two models of expression meaning that have complementary strengths and weaknesses ...