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08/14/2023
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
The task of inductive knowledge graph completion requires models to lear...
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05/24/2023
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
Relations such as "is influenced by", "is known for" or "is a competitor...
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05/22/2023
EnCore: Pre-Training Entity Encoders using Coreference Chains
Entity typing is the task of assigning semantic types to the entities th...
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05/22/2023
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
Ultra-fine entity typing (UFET) is the task of inferring the semantic ty...
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05/16/2023
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
Learning vectors that capture the meaning of concepts remains a fundamen...
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05/15/2023
What's the Meaning of Superhuman Performance in Today's NLU?
In the last five years, there has been a significant focus in Natural La...
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10/11/2022
Embeddings as Epistemic States: Limitations on the Use of Pooling Operators for Accumulating Knowledge
Various neural network architectures rely on pooling operators to aggreg...
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10/06/2022
Modelling Commonsense Properties using Pre-Trained Bi-Encoders
Grasping the commonsense properties of everyday concepts is an important...
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06/28/2021
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis
During the last decade, entity embeddings have become ubiquitous in Arti...
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06/15/2021
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
One of the long-standing challenges in lexical semantics consists in lea...
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06/14/2021
Probing Pre-Trained Language Models for Disease Knowledge
Pre-trained language models such as ClinicalBERT have achieved impressiv...
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05/11/2021
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
Analogies play a central role in human commonsense reasoning. The abilit...
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05/10/2021
A Description Logic for Analogical Reasoning
Ontologies formalise how the concepts from a given domain are interrelat...
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12/04/2020
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
While the success of pre-trained language models has largely eliminated ...
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11/16/2020
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
In this paper, we introduce a new annotated dataset which is aimed at su...
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06/25/2020
Plausible Reasoning about EL-Ontologies using Concept Interpolation
Description logics (DLs) are standard knowledge representation languages...
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12/13/2019
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
This paper proposes a tentative and original survey of meeting points be...
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12/03/2019
Modelling Semantic Categories using Conceptual Neighborhood
While many methods for learning vector space embeddings have been propos...
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11/28/2019
Inducing Relational Knowledge from BERT
One of the most remarkable properties of word embeddings is the fact tha...
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10/16/2019
Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings
Word embeddings have become a standard resource in the toolset of any Na...
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10/16/2019
Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings
Word embeddings have become a standard resource in the toolset of any Na...
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09/13/2019
Learning Household Task Knowledge from WikiHow Descriptions
Commonsense procedural knowledge is important for AI agents and robots t...
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08/21/2019
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
Cross-lingual word embeddings are vector representations of words in dif...
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06/04/2019
Relational Word Embeddings
While word embeddings have been shown to implicitly encode various forms...
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05/17/2019
Learning Cross-lingual Embeddings from Twitter via Distant Supervision
Cross-lingual embeddings represent the meaning of words from different l...
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02/21/2019
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness
In many applications, it is important to characterize the way in which t...
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10/12/2018
Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data
Meta-data from photo-sharing websites such as Flickr can be used to obta...
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08/27/2018
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Cross-lingual word embeddings are becoming increasingly important in mul...
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08/18/2018
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
We present SeVeN (Semantic Vector Networks), a hybrid resource that enco...
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05/26/2018
From Knowledge Graph Embedding to Ontology Embedding: Region Based Representations of Relational Structures
Recent years have witnessed the enormous success of low-dimensional vect...
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05/03/2018
Learning Conceptual Space Representations of Interrelated Concepts
Several recently proposed methods aim to learn conceptual space represen...
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04/17/2018
VC-Dimension Based Generalization Bounds for Relational Learning
In many applications of relational learning, the available data can be s...
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03/15/2018
PAC-Reasoning in Relational Domains
We consider the problem of predicting plausible missing facts in relatio...
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11/14/2017
Modeling Semantic Relatedness using Global Relation Vectors
Word embedding models such as GloVe rely on co-occurrence statistics fro...
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10/05/2017
Stacked Structure Learning for Lifted Relational Neural Networks
Lifted Relational Neural Networks (LRNNs) describe relational domains us...
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09/18/2017
Relational Marginal Problems: Theory and Estimation
In the propositional setting, the marginal problem is to find a (maximum...
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08/21/2017
Probabilistic Relation Induction in Vector Space Embeddings
Word embeddings have been found to capture a surprisingly rich amount of...
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06/21/2017
Jointly Learning Word Embeddings and Latent Topics
Word embedding models such as Skip-gram learn a vector-space representat...
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05/19/2017
Induction of Interpretable Possibilistic Logic Theories from Relational Data
The field of Statistical Relational Learning (SRL) is concerned with lea...
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11/18/2016
Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract)
In this paper, we advocate the use of stratified logical theories for re...
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02/18/2016
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning
Conceptual spaces are geometric representations of conceptual knowledge,...
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12/16/2015
Solving stable matching problems using answer set programming
Since the introduction of the stable marriage problem (SMP) by Gale and ...
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06/03/2015
Encoding Markov Logic Networks in Possibilistic Logic
Markov logic uses weighted formulas to compactly encode a probability di...
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10/09/2014
Realizing RCC8 networks using convex regions
RCC8 is a popular fragment of the region connection calculus, in which q...
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11/30/2013
Characterizing and Extending Answer Set Semantics using Possibility Theory
Answer Set Programming (ASP) is a popular framework for modeling combina...
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02/28/2013
Modeling Stable Matching Problems with Answer Set Programming
The Stable Marriage Problem (SMP) is a well-known matching problem first...
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03/15/2012