Search Results for author: Dominic Widdows

Found 10 papers, 0 papers with code

Quantum Natural Language Processing

no code implementations28 Mar 2024 Dominic Widdows, Willie Aboumrad, Dohun Kim, Sayonee Ray, Jonathan Mei

In this context, we argue that "hallucinations" in modern artificial intelligence systems are a misunderstanding of the way facts are conceptualized: language can express many plausible hypotheses, of which only a few become actual.

Word Embeddings

Spatial Entity Resolution between Restaurant Locations and Transportation Destinations in Southeast Asia

no code implementations16 Jan 2024 Emily Gao, Dominic Widdows

As a tech company, Grab has expanded from transportation to food delivery, aiming to serve Southeast Asia with hyperlocalized applications.

Entity Resolution

Quantum Circuit Components for Cognitive Decision-Making

no code implementations6 Feb 2023 Dominic Widdows, Jyoti Rani, Emmanuel Pothos

The claim is not that the human brain uses qubits and quantum circuits explicitly (just like the use of Boolean set theory does not require the brain to be using classical bits), but that the mathematics shared between quantum cognition and quantum computing motivates the exploration of quantum computers for cognition modeling.

Decision Making Decision Making Under Uncertainty

Near-Term Advances in Quantum Natural Language Processing

no code implementations5 Jun 2022 Dominic Widdows, Aaranya Alexander, Daiwei Zhu, Chase Zimmerman, Arunava Majumder

This paper describes experiments showing that some tasks in natural language processing (NLP) can already be performed using quantum computers, though so far only with small datasets.

Topic Classification

Language Identification with a Reciprocal Rank Classifier

no code implementations20 Sep 2021 Dominic Widdows, Chris Brew

The key finding for language classification is that ranked lists of words and frequencies of characters form a sufficient and robust representation of the regularities of key languages and their orthographies.

Domain Adaptation Language Identification

Should Semantic Vector Composition be Explicit? Can it be Linear?

no code implementations ACL (SemSpace, IWCS) 2021 Dominic Widdows, Kristen Howell, Trevor Cohen

The second considers whether semantic vector composition should be explicitly described mathematically, or whether it can be a model-internal side-effect of training a neural network.

Language Modelling

Quantum Mathematics in Artificial Intelligence

no code implementations12 Jan 2021 Dominic Widdows, Kirsty Kitto, Trevor Cohen

In the decade since 2010, successes in artificial intelligence have been at the forefront of computer science and technology, and vector space models have solidified a position at the forefront of artificial intelligence.

Information Retrieval Negation +3

Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)

no code implementations CONLL 2018 Trevor Cohen, Dominic Widdows

Word order is clearly a vital part of human language, but it has been used comparatively lightly in distributional vector models.

Retrieval Word Embeddings

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