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09/15/2023
Distributional Inclusion Hypothesis and Quantifications: Probing Hypernymy in Functional Distributional Semantics
Functional Distributional Semantics (FDS) models the meaning of words by...
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05/12/2022
Using dependency parsing for few-shot learning in distributional semantics
In this work, we explore the novel idea of employing dependency parsing ...
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04/22/2022
Learning Functional Distributional Semantics with Visual Data
Functional Distributional Semantics is a recently proposed framework for...
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02/04/2021
Incremental Beam Manipulation for Natural Language Generation
The performance of natural language generation systems has improved subs...
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10/09/2020
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model
Across languages, multiple consecutive adjectives modifying a noun (e.g....
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06/04/2020
Linguists Who Use Probabilistic Models Love Them: Quantification in Functional Distributional Semantics
Functional Distributional Semantics provides a computationally tractable...
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05/06/2020
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
Functional Distributional Semantics provides a linguistically interpreta...
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05/06/2020
What are the Goals of Distributional Semantics?
Distributional semantic models have become a mainstay in NLP, providing ...
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10/01/2019
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models
Word embeddings are an essential component in a wide range of natural la...
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08/17/2019
Leveraging sentence similarity in natural language generation: Improving beam search using range voting
We propose a novel method for generating natural language sentences from...
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09/01/2017
Semantic Composition via Probabilistic Model Theory
Semantic composition remains an open problem for vector space models of ...
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09/01/2017
Variational Inference for Logical Inference
Functional Distributional Semantics is a framework that aims to learn, f...
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06/26/2016